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ORCIDGECCO 2007: London, UK
- Hod Lipson:
Genetic and Evolutionary Computation Conference, GECCO 2007, Proceedings, London, England, UK, July 7-11, 2007. ACM 2007, ISBN 978-1-59593-697-4
Ant colony optimization and swarm intelligence: papers
- Ajith Abraham, Swagatam Das, Amit Konar:
Kernel based automatic clustering using modified particle swarm optimization algorithm. 2-9 - Enrique Alba
, Francisco Chicano:
ACOhg: dealing with huge graphs. 10-17 - Stefan Bird, Xiaodong Li:
Informative performance metrics for dynamic optimisation problems. 18-25 - Steve Cayzer, Julie Sullivan:
Modelling danger and anergy in artificial immune systems. 26-32 - Benjamin Doerr, Frank Neumann, Dirk Sudholt, Carsten Witt:
On the runtime analysis of the 1-ANT ACO algorithm. 33-40 - Carlos M. Fernandes, Agostinho C. Rosa, Vitorino Ramos:
Binary ant algorithm. 41-48 - Julie Greensmith, Uwe Aickelin:
Dendritic cells for SYN scan detection. 49-56 - Ramin Halavati, Saeed Bagheri Shouraki, Mojdeh Jalali Heravi, Bahareh Jafari Jashmi:
An artificial immune system with partially specified antibodies. 57-62 - Adnan Ahmed Khan, Muhammad Naeem, Syed Ismail Shah:
A particle swarm algorithm for symbols detection in wideband spatial multiplexing systems. 63-69 - Praveen Koduru, Stephen M. Welch, Sanjoy Das:
A particle swarm optimization approach for estimating parameter confidence regions. 70-77 - Xiaodong Li:
A multimodal particle swarm optimizer based on fitness Euclidean-distance ratio. 78-85 - Sean Luke, Deepankar Sharma, Gabriel Catalin Balan:
Finding interesting things. 86-93 - Francisco Luna, Christian Blum, Enrique Alba, Antonio J. Nebro:
ACO vs EAs for solving a real-world frequency assignment problem in GSM networks. 94-101 - Nauman Mazhar, Muddassar Farooq:
Vulnerability analysis and security framework (BeeSec) for nature inspired MANET routing protocols. 102-109 - Arvind S. Mohais, Rosemarie Mohais, Christopher Ward, Christian Posthoff:
Earthquake classifying neural networks trained with random dynamic neighborhood PSOs. 110-117 - Alberto Moraglio, Julian Togelius:
Geometric particle swarm optimization for the sudoku puzzle. 118-125 - Quan-Ke Pan, Mehmet Fatih Tasgetiren, Yun-Chia Liang:
A discrete differential evolution algorithm for the permutation flowshop scheduling problem. 126-133 - Riccardo Poli, David S. Broomhead:
Exact analysis of the sampling distribution for the canonical particle swarm optimiser and its convergence during stagnation. 134-141 - Riccardo Poli, William B. Langdon:
Markov chain models of bare-bones particle swarm optimizers. 142-149 - Enda Ridge, Daniel Kudenko:
Analyzing heuristic performance with response surface models: prediction, optimization and robustness. 150-157 - Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Quan-Ke Pan:
A discrete particle swarm optimization algorithm for the generalized traveling salesman problem. 158-167
Ant colony optimization, swarm intelligence, and artificial immune systems: posters
- Aristoklis D. Anastasiadis, George D. Georgoulas, George D. Magoulas, Anthony Tzes:
Adaptive particle swarm optimizer with nonextensive schedule. 168 - Abdul Rauf Baig, M. Rashid:
Honey bee foraging algorithm for multimodal & dynamic optimization problems. 169 - Adrian A. de Freitas, Christopher B. Mayer:
The effectiveness of dynamic ant colony tuning. 170 - Grazziela Patrocinio Figueredo, Nelson F. F. Ebecken, Helio J. C. Barbosa:
Suppression based immune mechanism to find arepresentative training set in data classification tasks. 171 - Tao Gong, Andrew Tuson:
Binary particle swarm optimization: a forma analysis approach. 172 - Xuan Hoai Nguyen, Quang Uy Nguyen, Robert I. McKay:
PSO with randomized low-discrepancy sequences. 173 - Hoang Thanh Lam, Nina Nicolaevna Popova, Quan Thoi Minh Nguyen:
A heuristic particle swarm optimization. 174 - Michèle Lavagna:
Multi-objective pso for interplanetary trajectory design. 175 - Manuel López-Ibáñez, T. Devi Prasad, Ben Paechter:
Solving optimal pump control problem using max-min ant system. 176 - Andrew W. McNabb, Christopher K. Monson, Kevin D. Seppi:
MRPSO: MapReduce particle swarm optimization. 177 - Paola Pellegrini, Elena Moretti:
Quick-and-dirty ant colony optimization. 178 - Sébastien Piccand, Michael O'Neill, Jacqueline Walker:
Scalability of particle swarm algorithms. 179 - Enda Ridge, Daniel Kudenko:
Screening the parameters affecting heuristic performance. 180 - Andrés Romero, Fernando Niño:
Keyword extraction using an artificial immune system. 181 - M. Zubair Shafiq, Mehrin Kiani, Bisma Hashmi, Muddassar Farooq:
Extended thymus action for reducing false positives in ais based network intrusion detection systems. 182 - Jan A. Snyman, Schalk Kok:
A strongly interacting dynamic particle swarm optimizational method. 183 - Robert L. Stewart, Michael Kirley:
Swarming with logic. 184 - Jiahai Wang, Yalan Zhou:
Hybrid quantum particle swarm optimization algorithm for combinatorial optimization problem. 185 - Yifeng Zeng, Jorge Cordero Hernandez, Dennis Plougman Buus:
SwarmArchitect: a swarm framework for collaborative construction. 186 - Xingquan Zuo:
Robust scheduling method based on workflow simulation model and biological immune principle. 187
Artificial life, evolutionary robotics, adaptive behavior, evolvable hardware: papers
- Joachim Becker, Stanis Trendelenburg, Fabian Henrici, Yiannos Manoli:
Synthesis of analog filters on an evolvable hardware platform using a genetic algorithm. 190-197 - Josh C. Bongard:
Action-selection and crossover strategies for self-modeling machines. 198-205 - Edgar Bermudez Contreras:
A biologically inspired solution for an evolved simulated agent. 206-213 - Josh C. Bongard:
Exploiting multiple robots to accelerate self-modeling. 214-221 - John A. Bullinaria:
The effect of learning on life history evolution. 222-229 - Cecilia Di Chio, Riccardo Poli, Paolo Di Chio:
EcoPS: a particle swarm algorithm to model group-foraging. 230-237 - Nicolás S. Estévez, Hod Lipson:
Dynamical blueprints: exploiting levels of system-environment interaction. 238-244 - Zbysek Gajda, Lukás Sekanina:
Reducing the number of transistors in digital circuits using gate-level evolutionary design. 245-252 - Stanley Phillips Gotshall, Terence Soule:
Stochastic training of a biologically plausible spino-neuromuscular system model. 253-260 - Min Gui, Sanjoy Das, Anil Pahwa:
Procreating V-detectors for nonself recognition: an application to anomaly detection in power systems. 261-268 - Gul Muhammad Khan, Julian Francis Miller, David M. Halliday:
Coevolution of intelligent agents using cartesian genetic programming. 269-276 - Susan Khor:
Hill climbing on discrete HIFF: exploring the role of DNA transposition in long-term artificial evolution. 277-284 - DaeEun Kim:
A quantitative analysis of memory requirement and generalization performance for robotic tasks. 285-292 - David B. Knoester, Philip K. McKinley, Charles Ofria:
Using group selection to evolve leadership in populations of self-replicating digital organisms. 293-300 - Jon McCormack:
Artificial ecosystems for creative discovery. 301-307 - Joshua L. Payne, Margaret J. Eppstein:
Takeover times on scale-free topologies. 308-315 - Lee Spector, Jon Klein, Mark Feinstein:
Division blocks and the open-ended evolution of development, form, and behavior. 316-323 - Julian Togelius, Renzo De Nardi, Hugo Gravato Marques, Richard A. Newcombe, Simon M. Lucas, Owen Holland:
Nonlinear dynamics modelling for controller evolution. 324-333
Artificial life, evolutionary robotics, adaptive behavior, evolvable hardware: posters
- Bart Baddeley, Andrew Philippides:
Bee SLAM: a probabilistic framework for studying orientation flights in bees and wasps. 334 - Gusz Eiben, Joeri Bekker, Robert Griffioen, Evert Haasdijk:
Balancing quality and quantity in evolving agent systems. 335 - Nicolas Brodu:
A framework for the emergence of intra-species mutual recognition patterns. 336 - Dara Curran, Colm O'Riordan, Humphrey Sorensen:
The effects of lifetime learning on the diversity and fitness of populations. 337 - Dara Curran, Colm O'Riordan, Humphrey Sorensen:
Self-adaptation of cultural learning parameters. 338 - Hengjie Song, Chunyan Miao, Zhiqi Shen:
Fuzzy cognitive map learning based on multi-objectiveparticle swarm optimization. 339 - Correy Allen Kowall, Brian J. Krent:
A simulation of evolved autotrophic reproduction. 340 - Peter Krcah:
Evolving virtual creatures revisited. 341 - Geoff Nitschke, Martijn C. Schut, A. E. Eiben:
Collective specialization in multi-rover systems. 342 - Simon T. Powers, Richard A. Watson:
Preliminary investigations into the evolution of cooperative strategies in a minimally spatial model. 343 - Steffen Priesterjahn, Alexander Weimer:
An evolutionary online adaptation method for modern computer games based on imitation. 344-345
Biological applications: papers
- Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Kumara Sastry, Xavier Llorà, Natalio Krasnogor:
Automated alphabet reduction method with evolutionary algorithms for protein structure prediction. 346-353 - Stefan Bleuler, Eckart Zitzler:
Discrimination of metabolic flux profiles using a hybrid evolutionary algorithm. 354-360 - Emre H. Brookes, Borries Demeler:
Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments. 361-368 - Larry Bull, Ivan S. Uroukov:
Initial results from the use of learning classifier systems to control in vitro neuronal networks. 369-376 - Tak-Ming Chan, Kwong-Sak Leung, Kin-Hong Lee:
TFBS identification by position- and consensus-led genetic algorithm with local filtering. 377-384 - Federico Divina, Jesús S. Aguilar-Ruiz:
A multi-objective approach to discover biclusters in microarray data. 385-392 - Sergio Raul Duarte Torres, David Camilo Becerra Romero, Luis Fernando Niño Vasquez, Yoan José Pinzón Ardila:
A novel ab-initio genetic-based approach for protein folding prediction. 393-400 - Alper Küçükural, Reyyan Yeniterzi, Süveyda Yeniterzi, Osman Ugur Sezerman:
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms. 401-406 - Moshe Looks, Ben Goertzel, Lúcio de Souza Coelho, Mauricio Mudado, Cassio Pennachin:
Clustering gene expression data via mining ensembles of classification rules evolved using moses. 407-414 - Miguel Rocha, Rui Mendes, Paulo Maia, Daniel Glez-Peña, Florentino Fdez-Riverola:
A platform for the selection of genes in DNA microarraydata using evolutionary algorithms. 415-423
Biological applications: posters
- Andrea Bazzoli, Giorgio Colombo, Andrea Tettamanzi:
Ab initio protein structure prediction with a dipeptide-assembly evolutionary algorithm. 424 - Telma Woerle de Lima, Rodrigo Antonio Faccioli, Paulo Henrique Ribeiro Gabriel, Alexandre C. B. Delbem, Ivan Nunes da Silva:
Evolutionary approach to protein structure prediction with hydrophobic interactions. 425 - Chrisantha Thomas Fernando, Jonathan E. Rowe:
Hebbian learning in a simple gene circuit. 426 - José García-Nieto, Enrique Alba, Laetitia Jourdan, El-Ghazali Talbi:
A comparison of PSO and GA approaches for gene selection and classification of microarray data. 427 - Ed Keedwell, Ajit Narayanan:
Gene finding and rule discovery with a multi-objective neural-genetic hybrid. 428 - William H. Latham, Miki Shaw, Stephen Todd, Frederic F. Leymarie:
Using DNA to generate 3D organic art forms. 429 - Moshe Looks, Ben Goertzel, Lúcio de Souza Coelho, Mauricio Mudado, Cassio Pennachin:
Understanding microarray data through applying competent program evolution. 430 - Filippo Menolascina, Roberto Teixeira Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Regattieri Delgado, Giuseppe Mastronardi, Angelo Paradiso, Alex Alves Freitas, Vitoantonio Bevilacqua:
Induction of fuzzy rules with artificial immune systems in acgh based er status breast cancer characterization. 431 - Jason H. Moore, Nate Barney, Bill C. White:
Towards human-human-computer interaction for biologically-inspired problem-solving in human genetics. 432-433
Coevolution: papers
- Anthony Bucci, Jordan B. Pollack:
Thoughts on solution concepts. 434-439 - Edwin D. de Jong:
Objective fitness correlation. 440-447 - Jeffrey Horn:
Optimal nesting of species for exact cover of resources: two against many. 448-455 - Rui Li, Bir Bhanu, Krzysztof Krawiec:
Hybrid coevolutionary algorithms vs. SVM algorithms. 456-463 - Peter Lichodzijewski, Malcolm I. Heywood:
Pareto-coevolutionary genetic programming for problem decomposition in multi-class classification. 464-471 - Christopher Stone, Rita Toth, Andrew Adamatzky, Ben de Lacy Costello, Larry Bull:
Towards the coevolution of cellular automata controllers for chemical computing with the B-Z reaction. 472-478 - Ting-Shuo Yo, Edwin D. de Jong:
A comparison of evaluation methods in coevolution. 479-487
Coevolution: posters
- Chun-Kit Au, Ho-fung Leung:
Guided mutations in cooperative coevolutionary algorithms for function optimization. 488 - Rui Li, Bir Bhanu, Krzysztof Krawiec:
On the number of subpopulations in coevolutionary computation: a database application. 489 - Jules Ottino-Loffler, William Rand, Uri Wilensky:
A spatial model of the red queen effect. 490-491
Estimation of distribution algorithms: papers
- Peter A. N. Bosman, Jörn Grahl, Franz Rothlauf:
SDR: a better trigger for adaptive variance scaling in normal EDAs. 492-499 - Peter A. N. Bosman, Dirk Thierens:
Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms. 500-507 - Jürgen Branke, Clemens Lode, Jonathan L. Shapiro:
Addressing sampling errors and diversity loss in UMDA. 508-515 - Jörn Grahl, Peter A. N. Bosman, Stefan Minner:
Convergence phases, variance trajectories, and runtime analysis of continuous EDAs. 516-522 - Mark Hauschild, Martin Pelikan, Cláudio F. Lima, Kumara Sastry:
Analyzing probabilistic models in hierarchical BOA on traps and spin glasses. 523-530 - Piotr Lipinski:
ECGA vs. BOA in discovering stock market trading experts. 531-538 - Moshe Looks:
Scalable estimation-of-distribution program evolution. 539-546 - Martin Pelikan, Rajiv Kalapala, Alexander K. Hartmann:
Hybrid evolutionary algorithms on minimum vertex cover for random graphs. 547-554 - Martin Pelikan, James D. Laury Jr.:
Order or not: does parallelization of model building in hBOA affect its scalability? 555-561 - Petr Posík, Vojtech Franc:
Estimation of fitness landscape contours in EAs. 562-569 - Abdellah Salhi, José Antonio Vázquez Rodríguez, Qingfu Zhang:
An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem. 570-576 - Kumara Sastry, David E. Goldberg, Xavier Llorà:
Towards billion-bit optimization via a parallel estimation of distribution algorithm. 577-584 - Siddhartha Shakya, Fernando S. Oliveira, Gilbert Owusu:
An application of EDA and GA to dynamic pricing. 585-592 - Chang Wook Ahn, Rudrapatna S. Ramakrishna:
Multiobjective real-coded bayesian optimization algorithmrevisited: diversity preservation. 593-600 - Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan:
Population sizing for entropy-based model building in discrete estimation of distribution algorithms. 601-608 - Yunpeng Cai, Xiaomin Sun, Hua Xu, Peifa Jia:
Cross entropy and adaptive variance scaling in continuous EDA. 609-616 - Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang:
Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. 617-623
Estimation of distribution algorithms: posters
- David Jonathan Coffin, Robert Elliott Smith:
Why is parity hard for estimation of distribution algorithms? 624 - Eric Martin Heien, Tomoyuki Hiroyasu, Noriyuki Fujimoto:
Investigation of mutation operators for the bayesian optimization algorithm. 625 - Moshe Looks:
Meta-optimizing semantic evolutionary search. 626 - Volker Nannen, A. E. Eiben:
Variance reduction in meta-EDA. 627 - Martin Pelikan, Alexander K. Hartmann:
Obtaining ground states of ising spin glasses via optimizing bonds instead of spins. 628 - Martin Pelikan, Shigeyoshi Tsutsui, Rajiv Kalapala:
Dependency trees, permutations, and quadratic assignment problem. 629 - Sunisa Rimcharoen, Daricha Sutivong, Prabhas Chongstitvatana:
A synthesis of optimal stopping time in compact genetic algorithm based on real options approach. 630 - Josef Schwarz, Jirí Jaros, Jiri Ocenasek:
Migration of probabilistic models for island-based bivariate EDA algorithm. 631 - Hao Wu, Jonathan L. Shapiro:
Parameter cross-validation and early-stopping in univariate marginal distribution algorithm. 632-633
Evolution strategies, evolutionary programming: papers
- Dirk V. Arnold:
On the use of evolution strategies for optimising certain positive definite quadratic forms. 634-641 - Marc Ebner:
Estimating the spectral sensitivity of a digital sensor using calibration targets. 642-649 - Chang-Tai Hsieh, Chih-Ming Chen, Ying-Ping Chen:
Particle swarm guided evolution strategy. 650-657 - James N. Knight, Monte Lunacek:
Reducing the space-time complexity of the CMA-ES. 658-665 - Oliver Kramer, Stephan Brügger, Dejan Lazovic:
Sex and death: towards biologically inspired heuristics for constraint handling. 666-673 - Oliver Kramer, Bartek Gloger, Andreas Goebels:
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments. 674-681 - Ángel M. Pérez-Bellido, Sancho Salcedo-Sanz, Emilio G. Ortíz-García, Antonio Portilla-Figueras:
A hybrid evolutionary programming algorithm for spread spectrum radar polyphase codes design. 682-688 - Jani Rönkkönen, Jouni Lampinen:
An extended mutation concept for the local selection based differential evolution algorithm. 689-696 - Claudio Rossi, Antonio Barrientos, Jaime del Cerro:
Two adaptive mutation operators for optima tracking in dynamic optimization problems with evolution strategies. 697-704 - Ofer M. Shir, Thomas Bäck:
Performance analysis of niching algorithms based on derandomized-ES variants. 705-712 - Ofer M. Shir, Thomas Bäck:
The second harmonic generation case-study as a gateway for es to quantum control problems. 713-721
Evolution strategies, evolutionary programming: posters
- Juan-Carlos Gomez, Olac Fuentes:
Using evolution strategies for automatic extraction of parameters for stellar population synthesis of galaxy spectra from sdss. 722 - Pavel Petrovic:
Strengths and weaknesses of FSA representation. 723-725
Evolutionary multiobjective optimization: papers
- Mohammad A. Abido:
Two-level of nondominated solutions approach to multiobjective particle swarm optimization. 726-733 - Salem Fawaz Adra, Ian Griffin, Peter J. Fleming:
An informed convergence accelerator for evolutionary multiobjective optimiser. 734-740 - Varun Aggarwal, Una-May O'Reilly:
COSMO: a correlation sensitive mutation operator for multi-objective optimization. 741-748 - Hernán E. Aguirre, Hiroyuki Okazaki, Yasushi Fuwa:
An evolutionary multiobjective approach to design highly non-linear Boolean functions. 749-756 - Ricardo Landa Becerra, Carlos A. Coello Coello, Alfredo García Hernández-Díaz, Rafael Caballero, Julián Molina Luque:
Alternative techniques to solve hard multi-objective optimization problems. 757-754 - Dimo Brockhoff, Tobias Friedrich, Nils Hebbinghaus, Christian Klein, Frank Neumann, Eckart Zitzler:
Do additional objectives make a problem harder? 765-772 - David W. Corne, Joshua D. Knowles:
Techniques for highly multiobjective optimisation: some nondominated points are better than others. 773-780 - Kalyanmoy Deb, Abhishek Kumar:
Interactive evolutionary multi-objective optimization and decision-making using reference direction method. 781-788 - José C. Ferreira, Carlos M. Fonseca, António Gaspar-Cunha:
Methodology to select solutions from the pareto-optimal set: a comparative study. 789-796 - Tobias Friedrich, Nils Hebbinghaus, Frank Neumann, Jun He, Carsten Witt:
Approximating covering problems by randomized search heuristics using multi-objective models. 797-804 - Christian Grimme, Joachim Lepping, Alexander Papaspyrou:
Exploring the behavior of building blocks for multi-objective variation operator design using predator-prey dynamics. 805-812 - Ken Harada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono:
Uniform sampling of local pareto-optimal solution curves by pareto path following and its applications in multi-objective GA. 813-820 - Nhu Binh Ho, Joc Cing Tay:
Using evolutionary computation and local search to solve multi-objective flexible job shop problems. 821-828 - Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, Ken Ohara:
Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization. 829-836 - Matt D. Johnson, Daniel R. Tauritz, Ralph W. Wilkerson:
SNDL-MOEA: stored non-domination level MOEA. 837-844 - Michael Kirley, Robert L. Stewart:
An analysis of the effects of population structure on scalable multiobjective optimization problems. 845-852 - Praveen Koduru, Sanjoy Das, Stephen M. Welch:
Multi-objective hybrid PSO using µ-fuzzy dominance. 853-860 - Nobukazu Matake, Tomoyuki Hiroyasu, Mitsunori Miki, Tomoharu Senda:
Multiobjective clustering with automatic k-determination for large-scale data. 861-868 - Sanaz Mostaghim, Jürgen Branke, Hartmut Schmeck:
Multi-objective particle swarm optimization on computer grids. 869-875 - Antonio J. Nebro, Enrique Alba, Guillermo Molina, Francisco Chicano, Francisco Luna, Juan José Durillo:
Optimal antenna placement using a new multi-objective chc algorithm. 876-883 - Corina Rotar, D. Dumitrescu, Rodica Ioana Lung:
Guided hyperplane evolutionary algorithm. 884-891 - Oliver Schütze, Marco Laumanns, Emilia Tantar, Carlos A. Coello Coello, El-Ghazali Talbi:
Convergence of stochastic search algorithms to gap-free pareto front approximations. 892-901
Evolutionary multiobjective optimization: posters
- Breanna W. Bailey, Anne M. Raich:
Interactive multi-objective design of long-span trusses. 902 - István Borgulya:
An EC-memory based method for the multi-objective TSP. 903 - Tomoyuki Hiroyasu, Kengo Yoshii, Mitsunori Miki:
Discussion of parallel model of multi-objective genetic algorithms on heterogeneous computational resources. 904 - Mark P. Kleeman, Gary B. Lamont, Kenneth M. Hopkinson, Scott R. Graham:
Multiobjective evolutionary algorithms for designing capacitated network centric communications. 905 - Coromoto León, Gara Miranda, Carlos Segura:
Parallel skeleton for multi-objective optimization. 906 - Xiaodong Li, Jürgen Branke, Michael Kirley:
Performance measures and particle swarm methods for dynamic multi-objective optimization problems. 907 - Zhiyong Li, Günter Rudolph:
A framework of quantum-inspired multi-objective evolutionary algorithms and its convergence condition. 908 - S. Afshin Mansouri, S. Hamed Hendizadeh, Nasser Salmasi:
Bicriteria two-machine flowshop scheduling using metaheuristics. 909 - Carlos Eduardo Mariano, Victor Hugo Alcocer, Eduardo F. Morales:
Incremental refinement of solutions for multiple objective optimization problems. 910 - Luis Martí, Jesús García, Antonio Berlanga, José Manuel Molina:
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms. 911 - Dana Vrajitoru:
Hybrid multiobjective optimization genetic algorithms for graph drawing. 912 - Piotr Wozniak:
Dimensionality reduction in evolutionary multiobjective design: case study. 913-915
Formal theory: papers
- Anne Auger, Olivier Teytaud:
Continuous lunches are free! 916-922 - Tao Gong, Andrew Tuson:
Enhanced forma analysis of permutation problems. 923-930 - Thomas Jansen, Madeleine Theile:
Stability in the self-organized evolution of networks. 931-938 - Thomas Jansen, Dennis Weyland:
Analysis of evolutionary algorithms for the longest common subsequence problem. 939-946 - Joachim Reichel, Martin Skutella:
Evolutionary algorithms and matroid optimization problems. 947-954 - Olivier Teytaud, Sylvain Gelly:
DCMA: yet another derandomization in covariance-matrix-adaptation. 955-963
Formal theory: poster
- Christopher J. C. H. Watkins:
The channel capacity of evolution. 964-965
Generative and developmental systems: papers
- Kester Dean Clegg, Susan Stepney, Tim Clarke:
Using feedback to regulate gene expression in a developmental control architecture. 966-973 - David B. D'Ambrosio, Kenneth O. Stanley:
A novel generative encoding for exploiting neural network sensor and output geometry. 974-981 - Alexandre Devert, Nicolas Bredèche, Marc Schoenauer:
Robust multi-cellular developmental design. 982-989 - Keith L. Downing:
Supplementing evolutionary developmental systems with abstract models of neurogenesis. 990-996 - Jason Gauci, Kenneth O. Stanley:
Generating large-scale neural networks through discovering geometric regularities. 997-1004 - Adrian Grajdeanu:
Methods for open-box analysis in artificial development. 1005-1012 - Pauline C. Haddow, Johan Hoye:
Achieving a simple development model for 3D shapes: are chemicals necessary? 1013-1020 - Simon Harding, Julian Francis Miller, Wolfgang Banzhaf:
Self-modifying cartesian genetic programming. 1021-1028 - Yohannes Kassahun, Mark Edgington, Jan Hendrik Metzen, Gerald Sommer, Frank Kirchner:
A common genetic encoding for both direct and indirect encodings of networks. 1029-1036 - Taras Kowaliw, Peter Grogono, Nawwaf Kharma:
Environment as a spatial constraint on the growth of structural form. 1037-1044 - Joseph Reisinger, Risto Miikkulainen:
Acquiring evolvability through adaptive representations. 1045-1052 - Garnett Carl Wilson, Malcolm I. Heywood:
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype. 1053-1061
Generative and developmental systems: posters
- Arturo Chavoya, Yves Duthen:
Use of a genetic algorithm to evolve an extended artificial regulatory network for cell pattern generation. 1062 - John Rieffel, Hod Lipson, Francisco J. Valero Cuevas:
Growing form-filling tensegrity structures using map L-systems. 1063 - Or Yogev, Erik K. Antonsson:
Growth and development of continuous structures. 1064-1065
Search-based software engineering: papers
- Enrique Alba, Francisco Chicano:
Finding safety errors with ACO. 1066-1073 - Kamel Ayari, Salah Bouktif, Giuliano Antoniol:
Automatic mutation test input data generation via ant colony. 1074-1081 - Renée C. Bryce, Charles J. Colbourn:
One-test-at-a-time heuristic search for interaction test suites. 1082-1089 - Massimiliano Di Penta, Gerardo Canfora, Gianpiero Esposito, Valentina Mazza, Marcello Bruno:
Search-based testing of service level agreements. 1090-1097 - Kiran Lakhotia, Mark Harman, Phil McMinn:
A multi-objective approach to search-based test data generation. 1098-1105 - Mark Harman, Laurence Tratt:
Pareto optimal search based refactoring at the design level. 1106-1113 - Mark Kent O'Keeffe, Mel Ó Cinnéide:
Getting the most from search-based refactoring. 1114-1120 - Andreas Windisch, Stefan Wappler, Joachim Wegener:
Applying particle swarm optimization to software testing. 1121-1128 - Yuanyuan Zhang, Mark Harman, S. Afshin Mansouri:
The multi-objective next release problem. 1129-1137
Search-based software engineering: posters
- Bruno Teixeira de Abreu, Eliane Martins, Fabiano Luis de Sousa:
Generalized extremal optimization: an attractive alternative for test data generation. 1138 - James D. Kiper, Martin S. Feather, Julian Richardson:
Optimizing the V&V process for critical systems. 1139 - Konstantinos Liaskos, Marc Roper, Murray Wood:
Investigating data-flow coverage of classes using evolutionary algorithms. 1140 - Xiyang Liu, Lei Wang, Xiubin Zhu, Zhiwen Bai, Miao Zhang, Hehui Liu:
Fitness calculation approach for nested if-else construct in evolutionary testing. 1141
Genetic algorithms: papers
- Abir Alharbi, William Rand, Rick L. Riolo:
The defined cliffs variant in dynamic environments: a case study using the shaky ladder hyperplane-defined functions. 1158-1164 - Peter A. N. Bosman, Han La Poutré:
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case. 1165-1172 - Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu:
GARS: an improved genetic algorithm with reserve selection for global optimization. 1173-1178 - Theodore Chiotis, Christopher D. Clack:
Nonlinearity linkage detection for financial time series analysis. 1179-1186 - Kalyanmoy Deb, Karthik Sindhya, Tatsuya Okabe:
Self-adaptive simulated binary crossover for real-parameter optimization. 1187-1194 - Vinícius Veloso de Melo, Alexandre C. B. Delbem, Dorival Leao Pinto Junior, Fernando Marques Federson:
Improving global numerical optimization using a search-space reduction algorithm. 1195-1202 - Benjamin Doerr, Daniel Johannsen:
Adjacency list matchings: an ideal genotype for cycle covers. 1203-1210 - Hongbin Dong, Yiwen Liang:
Genetic algorithms for large join query optimization. 1211-1218 - Tobias Friedrich, Nils Hebbinghaus, Frank Neumann:
Rigorous analyses of simple diversity mechanisms. 1219-1225 - José E. Gallardo, Carlos Cotta, Antonio J. Fernández:
A memetic algorithm for the low autocorrelation binary sequence problem. 1226-1233 - Ozlem O. Garibay, Annie S. Wu:
Analyzing the effects of module encapsulation on search space bias. 1234-1241 - Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki:
Genetic multi-step search in interpolation and extrapolation domain. 1242-1249 - Jean-Laurent Hippolyte, Christelle Bloch, Pascal Chatonnay, Christophe Espanet, Didier Chamagne:
A self-adaptive multiagent evolutionary algorithm for electrical machine design. 1250-1255 - David Iclanzan, Dan Dumitrescu:
Overcoming hierarchical difficulty by hill-climbing the building block structure. 1256-1263 - Ratiba Kabli, Frank Herrmann, John A. W. McCall:
A chain-model genetic algorithm for Bayesian network structure learning. 1264-1271 - Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muriel Médard:
A doubly distributed genetic algorithm for network coding. 1272-1279 - Zhenhua Li, Erik D. Goodman:
Learning building block structure from crossover failure. 1280-1287 - Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. 1288-1295 - Rodica Ioana Lung, D. Dumitrescu:
A new evolutionary model for detecting multiple optima. 1296-1303 - Claudio Mattiussi, Peter Dürr, Dario Floreano:
Center of mass encoding: a self-adaptive representation with adjustable redundancy for real-valued parameters. 1304-1311 - Rob Mills, Richard A. Watson:
Variable discrimination of crossover versus mutation using parameterized modular structure. 1312-1319 - Tim Paulden, David K. Smith:
Some novel locality results for the blob code spanning tree representation. 1320-1327 - Christophe Philemotte, Hugues Bersini:
A gestalt genetic algorithm: less details for better search. 1328-1334 - Riccardo Poli, Leonardo Vanneschi:
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms. 1335-1342 - Adam Prügel-Bennett:
Finding critical backbone structures with genetic algorithms. 1343-1348 - Qinru Qiu, Daniel J. Burns, Prakash Mukre, Qing Wu:
Hardware acceleration of multi-deme genetic algorithm for the application of DNA codeword searching. 1349-1356 - Philipp Rohlfshagen, John A. Bullinaria:
ExGA II: an improved exonic genetic algorithm for the multiple knapsack problem. 1357-1364 - Philipp Rohlfshagen, John A. Bullinaria:
A genetic algorithm with exon shuffling crossover for hard bin packing problems. 1365-1371 - Jun Sakuma, Shigenobu Kobayashi:
A genetic algorithm for privacy preserving combinatorial optimization. 1372-1379 - Kumara Sastry, David E. Goldberg:
Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems. 1380-1387 - Kumara Sastry, Martin Pelikan, David E. Goldberg:
Empirical analysis of ideal recombination on random decomposable problems. 1388-1395 - Yuji Sato, Yuta Yasuda, Ryuji Goto:
Analysis of noisy time-series signals with GA involving viral infection with tropism. 1396-1403 - Justin Schonfeld:
A study of mutational robustness as the product of evolutionary computation. 1404-1411 - J. E. Smith:
Credit assignment in adaptive memetic algorithms. 1412-1419 - Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu:
Disburdening the species conservation evolutionary algorithm of arguing with radii. 1420-1427 - Andrew M. Sutton, Monte Lunacek, L. Darrell Whitley:
Differential evolution and non-separability: using selective pressure to focus search. 1428-1435 - Carlos D. Toledo-Suárez, Manuel Valenzuela-Rendón, Hugo Terashima-Marín, Eduardo Uresti-Charre:
On the relativity in the assessment of blind optimization algorithms and the problem-algorithm coevolution. 1436-1443 - Howard Tripp, Phil Palmer:
Distribution replacement: how survival of the worst can out perform survival of the fittest. 1444-1451 - Richard A. Watson, Thomas Jansen:
A building-block royal road where crossover is provably essential. 1452-1459 - W. R. M. U. K. Wickramasinghe, Maarten van Steen, A. E. Eiben:
Peer-to-peer evolutionary algorithms with adaptive autonomous selection. 1460-1467 - Huayang Xie, Mengjie Zhang, Peter Andreae:
Another investigation on tournament selection: modelling and visualisation. 1468-1475 - Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
Effects of passenger's arrival distribution to double-deck elevator group supervisory control systems using genetic network programming. 1476-1483 - Shude Zhou, Zengqi Sun, Robert B. Heckendorn:
Extended probe method for linkage discovery over high-cardinality alphabets. 1484-1491 - Antanas Zilinskas, Julius Zilinskas:
Parallel genetic algorithm: assessment of performance in multidimensional scaling. 1492-1501
Genetic algorithms: posters
- Menouar Boulif, Karim Atif:
A fuzzy genetic algorithm for the dynamic cell formation problem. 1502 - Yan Chen, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Trading rules on stock markets using genetic network programming with sarsa learning. 1503 - Marisol B. Correia, Carlos M. Fonseca:
On the roles of redundancy and neutrality in evolutionary optimization: an experimental study. 1504 - Grzegorz Drzadzewski, Mark Wineberg:
The effects of solution density in the search space on finding spatially robust solutions. 1505 - A. E. Eiben, Marc Schoenauer, D. W. F. van Krevelen, M. C. Hobbelman, M. A. ten Hagen, R. C. van het Schip:
Autonomous selection in evolutionary algorithms. 1506 - Magda Bahaa Eldin Fayek, Amira Samy Talaat, Nevin Mahmoud Darwish:
Generating classification trees for small disjuncts using incremental gas. 1507 - Edgar Galván López, Riccardo Poli:
How and why a bit-wise neutrality with and without locality affects evolutionary search. 1508 - Edgar Galván López, Julian Togelius, Simon M. Lucas:
Towards understanding the effects of neutrality on the sudoku problem. 1509 - José García-Nieto, Enrique Alba, J. Francisco Chicano:
Using metaheuristic algorithms remotely via ROS. 1510 - Anca Gog, D. Dumitrescu, Béat Hirsbrunner:
Collaborative evolutionary algorithms for combinatorial optimization. 1511 - Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Genetic network programming with parallel processing for association rule mining in large and dense databases. 1512 - Mario Graff, Riccardo Poli, Alberto Moraglio:
Linear selection. 1513 - Lee K. Graham, Steffen Christensen, Franz Oppacher:
A simple genetic algorithm for reducible complexity. 1514 - Ramin Halavati, Saeed Bagheri Shouraki, Bahareh Jafari Jashmi, Mojdeh Jalali Heravi:
Symbiotic tabu search. 1515 - Arvid Halma, Remi Turk:
Adaptive Markov recombination. 1516 - Arne Hamann, Rolf Ernst:
Efficient priority optimization in complex distributed embedded systems through search space adaptation. 1517 - Jun He, Yuren Zhou:
A comparison of GAs using penalizing infeasible solutions and repairing infeasible solutions on restrictive capacity knapsack problem. 1518 - José Ignacio Hidalgo, Francisco Fernández de Vega, Juan Lanchares, Daniel Lombraña Gonzalez:
Is the island model fault tolerant? 1519 - Inwook Hwang, Yong-Hyuk Kim, Byung Ro Moon:
Overcoming barriers by a cluster-moving genetic algorithm. 1520 - Colin G. Johnson:
A genetic algorithm for coverage problems. 1521 - Steven Orla Kimbrough, David Harlan Wood:
On repair by binary interpolation. 1522 - Oliver Kramer, Patrick Koch:
Self-adaptive partially mapped crossover. 1523 - Tiago Leitão, Francisco Baptista Pereira, Jorge Tavares, Ernesto Costa:
Niching techniques: a study on the cluster geometry optimization problem. 1524 - Audrey J. W. Mbogho, Lori L. Scarlatos:
Genetic parameter tuning for reliable segmentation of colored visual tags. 1525 - Juan Julián Merelo Guervós, Carlos Cotta:
Who is the best connected EC researcher? 1526 - George G. Mitchell, Barry McMullin, James Decraene, Ciaran Kelly:
Quality time tradeoff operator for designing efficient multi level genetic algorithms. 1527 - Joshua L. Payne, Margaret J. Eppstein:
Why your mates shouldn't date. 1528 - Jella Pfeiffer, Franz Rothlauf:
Analysis of greedy heuristics and weight-coded eas for multidimensional knapsack problems and multi-unit combinatorial auctions. 1529 - Anabela Simões, Ernesto Costa:
VMEA: studies on replacing strategies and diversity in dynamic environments. 1530 - Forrest Sondahl, William Rand:
Evolution of non-uniform cellular automata using a genetic algorithm: diversity and computation. 1531 - Alexander Stanoyevitch:
Homogeneous genetic algorithms. 1532 - Khadiza Tahera, Raafat N. Ibrahim, Paul B. Lochert:
Adopting dynamic operators in a genetic algorithm. 1533 - Allan Tengg, Andreas Klausner, Bernhard Rinner:
An improved genetic algorithm for task allocation in distributed embedded systems. 1534 - Chuan-Kang Ting:
Multi-parent extension of edge recombination. 1535 - Allan Tucker, Stephen Swift, Jason Crampton:
Efficiency updates for the restricted growth function GA for grouping problems. 1536 - Cristina C. Vieira, Carlos M. Fonseca:
A unified model of optimisation problems. 1537 - Daniel N. Wilke, Schalk Kok, Albert A. Groenwold:
Reference frame and scale invariant real-parameter genetic and differential evolution algorithms. 1538 - Yourim Yoon, Yong-Hyuk Kim, Alberto Moraglio, Byung Ro Moon:
Geometric crossovers for real-code representation. 1539 - Shude Zhou, Zengqi Sun:
Matrix interpretation of generalized embedded landscape. 1540-1542
Genetic programming: papers
- Alexandros Agapitos, Julian Togelius, Simon M. Lucas:
Evolving controllers for simulated car racing using object oriented genetic programming. 1543-1550 - Khaled M. S. Badran, Peter I. Rockett:
The roles of diversity preservation and mutation in preventing population collapse in multiobjective genetic programming. 1551-1558 - Edmund K. Burke, Matthew R. Hyde, Graham Kendall, John R. Woodward:
Automatic heuristic generation with genetic programming: evolving a jack-of-all-trades or a master of one. 1559-1565 - Darren M. Chitty:
A data parallel approach to genetic programming using programmable graphics hardware. 1566-1573 - Steffen Christensen, Franz Oppacher:
Solving the artificial ant on the Santa Fe trail problem in 20, 696 fitness evaluations. 1574-1579 - Janet Clegg, James Alfred Walker, Julian Francis Miller:
A new crossover technique for Cartesian genetic programming. 1580-1587 - Stephen Dignum, Riccardo Poli:
Generalisation of the limiting distribution of program sizes in tree-based genetic programming and analysis of its effects on bloat. 1588-1595 - Jan Drugowitsch, Alwyn Barry:
Mixing independent classifiers. 1596-1603 - Laurence Hirsch, Robin Hirsch, Masoud Saeedi:
Evolving Lucene search queries for text classification. 1604-1611 - David Jackson:
Hierarchical genetic programming based on test input subsets. 1612-1619 - Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wieloch:
Genetic programming for cross-task knowledge sharing. 1620-1627 - Jon Klein, Lee Spector:
Unwitting distributed genetic programming via asynchronous JavaScript and XML. 1628-1635 - Moshe Looks:
On the behavioral diversity of random programs. 1636-1642 - Leslie Luthi, Marco Tomassini, Mario Giacobini, William B. Langdon:
The genetic programming collaboration network and its communities. 1643-1650 - Hammad Majeed, Conor Ryan:
Context-aware mutation: a modular, context aware mutation operator for genetic programming. 1651-1658 - Hammad Majeed, Conor Ryan:
On the constructiveness of context-aware crossover. 1659-1666 - Oana Muntean, Laura Diosan, Mihai Oltean:
Best SubTree genetic programming. 1667-1673 - Michael D. Schmidt, Hod Lipson:
Comparison of tree and graph encodings as function of problem complexity. 1674-1679 - Michael D. Schmidt, Hod Lipson:
Learning noise. 1680-1685 - Shinichi Shirakawa, Shintaro Ogino, Tomoharu Nagao:
Graph structured program evolution. 1686-1693 - Matthew Goble Smith, Larry Bull:
Improving the human readability of features constructed by genetic programming. 1694-1701 - Keith Sullivan, Sean Luke:
Evolving kernels for support vector machine classification. 1702-1707 - Russell Thomason, Terence Soule:
Novel ways of improving cooperation and performance in ensemble classifiers. 1708-1715 - Matthew Walker, Howard Edwards, Chris H. Messom:
The reliability of confidence intervals for computational effort comparisons. 1716-1723 - James Alfred Walker, Julian Francis Miller:
Solving real-valued optimisation problems using cartesian genetic programming. 1724-1730 - Brian G. Woolley, Gilbert L. Peterson:
Genetic evolution of hierarchical behavior structures. 1731-1738 - Huayang Xie, Mengjie Zhang, Peter Andreae:
An analysis of constructive crossover and selection pressure in genetic programming. 1739-1748
Genetic programming: posters
- Mohamed Bahy Bader-El-Den, Riccardo Poli:
A GP-based hyper-heuristic framework for evolving 3-SAT heuristics. 1749 - Xinye Cai, Stephen M. Welch, Praveen Koduru, Sanjoy Das:
Discovering structures in gene regulatory networks using genetic programming and particle swarms. 1750 - Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
StreamGP: tracking evolving GP ensembles in distributed data streams using fractal dimension. 1751 - Daniel Lombraña Gonzalez, Francisco Fernández de Vega:
Dynamic populations and length evolution: key factors for analyzing fault tolerance on parallel genetic programming. 1752 - Robert E. Keller, Riccardo Poli:
Linear genetic programming of metaheuristics. 1753 - Mitsunori Miki, Masafumi Hashimoto, Yoshihisa Fujita, Tomoyuki Hiroyasu, Masaru Shibata:
Program search with simulated annealing. 1754 - Gearoid Murphy, Conor Ryan:
Seeding methods for run transferable libraries. 1755 - Amr M. Radi, Salah Yaseen El-Bakry:
Genetic programming approach for positron collisions with alkali-metal atom. 1756 - Michael Solano, Istvan Jonyer:
Towards an optimal restart strategy for genetic programming. 1757 - Karla Taboada, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Association rule mining for continuous attributes using genetic network programming. 1758 - Leonardo Vanneschi, Denis Rochat, Marco Tomassini:
Multi-optimization improves genetic programming generalization ability. 1759 - Matthew Walker, Howard Edwards, Chris H. Messom:
"Success effort" for performance comparisons. 1760 - Phillip Lee-Ming Wong, Mengjie Zhang:
Numerical-node building block analysis of genetic programming with simplification. 1761 - Bart Wyns, Luc Boullart:
Adaptive strategies for a semantically driven tree optimizer to control code growth. 1762 - Bart Wyns, Luc Boullart, Pieter Jan De Smedt:
Limiting code growth to improve robustness in tree-based genetic programming. 1763
Genetics-based machine learning: papers
- Shin Ando:
Heuristic speciation for evolving neural network ensemble. 1766-1773 - Gavin Brown, Tim Kovacs, James A. R. Marshall:
UCSpv: principled voting in UCS rule populations. 1774-1781 - Christian Gagné, Michèle Sebag, Marc Schoenauer, Marco Tomassini:
Ensemble learning for free with evolutionary algorithms? 1782-1789 - Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wieloch:
Knowledge reuse in genetic programming applied to visual learning. 1790-1797 - Xavier Llorà, Kumara Sastry, Tian-Li Yu, David E. Goldberg:
Do not match, inherit: fitness surrogates for genetics-based machine learning techniques. 1798-1805 - Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi:
Support vector regression for classifier prediction. 1806-1813 - Pier Luca Lanzi, Martin V. Butz, David E. Goldberg:
Empirical analysis of generalization and learning in XCS with gradient descent. 1814-1821 - Pier Luca Lanzi, Daniele Loiacono:
Classifier systems that compute action mappings. 1822-1829 - Ingo Mierswa:
Controlling overfitting with multi-objective support vector machines. 1830-1837 - Albert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla:
Modeling XCS in class imbalances: population size and parameter settings. 1838-1845 - Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernadó-Mansilla:
Modeling selection pressure in XCS for proportionate and tournament selection. 1846-1853 - Kreangsak Tamee, Larry Bull, Ouen Pinngern:
Towards clustering with XCS. 1854-1860 - Trung Hau Tran, Cédric Sanza, Yves Duthen, Thuc Dinh Nguyen:
XCSF with computed continuous action. 1861-1869
Genetics-based machine learning: posters
- Robert Cattral, Franz Oppacher:
Discovering rules in the poker hand dataset. 1870 - Hong-Wei Chen, Ying-Ping Chen:
Introducing fault tolerance to XCS. 1871 - Drew DeHaas, Jesse Craig, Colin Rickert, Margaret J. Eppstein, Paul Haake, Kirsten Stor:
Feature selection and classification in noisy epistatic problems using a hybrid evolutionary approach. 1872 - Laura Diosan, Mihai Oltean, Alexandrina Rogozan, Jean-Pierre Pécuchet:
Genetically designed multiple-kernels for improving the SVM performance. 1873 - Avinash Gandhe, Ssu-Hsin Yu, Raman K. Mehra, Robert E. Smith:
Fused, multi-spectral automatic target recognition with XCS. 1874 - Leila Shila Shafti, Eduardo Pérez:
MDL-based fitness for feature construction. 1875 - Anil Shankar, Sushil J. Louis, Sergiu Dascalu, Ramona Houmanfar, Linda J. Hayes:
XCS for adaptive user-interfaces. 1876 - Robert Elliott Smith, Max Kun Jiang:
MILCS: a mutual information learning classifier system. 1877
Real-world applications: papers
- Sofiane Achiche, Wei Wang, Zhun Fan, Ali Gürcan Özkil, Torben Sørensen, Jiachuan Wang, Erik D. Goodman:
Genetically generated double-level fuzzy controller with a fuzzy adjustment strategy. 1880-1887 - Adrian K. Agogino, Kagan Tumer:
Evolving distributed agents for managing air traffic. 1888-1895 - Lourdes Araujo, Juan Julián Merelo Guervós:
A genetic algorithm for dynamic modelling and prediction of activity in document streams. 1896-1903 - Nilanjan Banerjee, Rajeev Kumar:
Multiobjective network design for realistic traffic models. 1904-1911 - Letícia Maria Veiras Bolzani, Ernesto Sánchez, Massimiliano Schillaci, Giovanni Squillero:
Coupling EA and high-level metrics for the automatic generation of test blocks for peripheral cores. 1912-1919 - Chao-Hong Chen, Ying-Ping Chen:
Real-coded ECGA for economic dispatch. 1920-1927 - Jian-Hung Chen:
Simultaneous optimization of production planning and inspection planning for flexible manufacturing systems. 1928-1935 - Chwee Seng Choo, Ching Lian Chua, Victor Su-Han Tay:
Automated red teaming: a proposed framework for military application. 1936-1942 - Gül Nildem Demir, Sima Uyar, Sule Gündüz Ögüdücü:
Graph-based sequence clustering through multiobjective evolutionary algorithms for web recommender systems. 1943-1950 - Darren Doherty, Colm O'Riordan:
A phenotypic analysis of GP-evolved team behaviours. 1951-1958 - Gustavo Reis, Francisco Fernández de Vega:
Electronic synthesis using genetic algorithms for automatic music transcription. 1959-1966 - Mauro Dragoni, Andrea Tettamanzi:
Evolutionary algorithms for reasoning in fuzzy description logics with fuzzy quantifiers. 1967-1974 - Anna Esparcia-Alcázar, Lidia Lluch-Revert, Manuel Cardós, Ken Sharman, Juan Julián Merelo Guervós:
Configuring an evolutionary tool for the inventory and transportation problem. 1975-1982 - Kai Fan, Anthony Brabazon, Conall O'Sullivan, Michael O'Neill:
Option pricing model calibration using a real-valued quantum-inspired evolutionary algorithm. 1983-1990 - Manuel Förster, Bettina Bickel, Bernd Hardung, Gabriella Kókai:
Self-adaptive ant colony optimisation applied to function allocation in vehicle networks. 1991-1998 - Frank D. Francone, Larry M. Deschaine, Jeffrey J. Warren:
Discrimination of munitions and explosives of concern at F.E. warren afb using linear genetic programming. 1999-2006 - Paolo Geremia, Mauro Poian, Silvia Poles:
Genetic optimization for yacht design. 2007-2012 - Sean Hanna:
Defining implicit objective functions for design problems. 2013-2020 - Boye Annfelt Høverstad:
Revisiting the personal satellite assistant: neuroevolution with a modified enforced sub-populations algorithm. 2021-2028 - Ping-Chu Hung, Ying-Ping Chen, Hsiao Wen Zan:
Characteristic determination for solid state devices with evolutionary computation: a case study. 2029-2036 - Jirí Jaros, Milos Ohlídal, Vaclav Dvorak:
An evolutionary approach to collective communication scheduling. 2037-2044 - Masoud Jenabi, S. Ali Torabi, S. Afshin Mansouri:
A hybrid GA for a supply chain production planning problem. 2045-2052 - Ralf Joost, Ralf Salomon:
High quality offset printing: an evolutionary approach. 2053-2058 - René Jursa:
Variable selection for wind power prediction using particle swarm optimization. 2059-2065 - Faten F. Kharbat, Larry Bull, Mohammed Odeh:
Mining breast cancer data with XCS. 2066-2073 - John R. Koza, Sameer H. Al-Sakran, Lee W. Jones, Greg Manassero:
Automated synthesis of a fixed-length loaded symmetric dipole antenna whose gain exceeds that of a commercial antenna and matches the theoretical maximum. 2074-2081 - Robert Charles Lange, Spiros Mancoridis:
Using code metric histograms and genetic algorithms to perform author identification for software forensics. 2082-2089 - Jae-Wook Lee, Sung-Soon Choi, Byung Ro Moon:
An evolutionary keystroke authentication based on ellipsoidal hypothesis space. 2090-2097 - Xavier Llorà, Rohith K. Reddy, Brian Matesic, Rohit Bhargava:
Towards better than human capability in diagnosing prostate cancer using infrared spectroscopic imaging. 2098-2105 - Alan J. Lockett, Charles L. Chen, Risto Miikkulainen:
Evolving explicit opponent models in game playing. 2106-2113 - Christopher McCubbin, David H. Scheidt, Oliver Bandte, Steven Marshall, Iavor Trifonov:
Using genetic algorithms for naval subsystem damage assessment and design improvements. 2114-2121 - Jörn Mehnen, Rajkumar Roy, Petra Kersting, Tobias Wagner:
ICSPEA: evolutionary five-axis milling path optimisation. 2122-2128 - Oluwarotimi Odeh, Praveen Koduru, Sanjoy Das, Allen M. Featherstone, Stephen M. Welch:
A multi-objective approach for the prediction of loan defaults. 2129-2136 - Michael R. Peterson, Gary B. Lamont, Frank W. Moore, Patrick Marshall:
Targeted filter evolution for improved image reconstruction resolution. 2137-2144 - David J. Powell, Joel K. Hollingsworth:
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP. 2145-2150 - Juan C. Quiroz, Sushil J. Louis, Sergiu M. Dascalu:
Interactive evolution of XUL user interfaces. 2151-2158 - Rafael Ramírez, Amaury Hazan:
Inducing a generative expressive performance model using a sequential-covering genetic algorithm. 2159-2166 - Joe Sullivan, Conor Ryan:
A destructive evolutionary process: a pilot implementation. 2167-2173 - Stephen Swift, Allan Tucker, Jason Crampton, David Garway-Heath:
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data. 2174-2181 - Hugo Terashima-Marín, Cláudia J. Farías Zárate, Peter Ross, Manuel Valenzuela-Rendón:
Comparing two models to generate hyper-heuristics for the 2d-regular bin-packing problem. 2182-2189 - Raghunathan Thangavelu, S. Pradeep:
An online implementable differential evolution tuned optimal guidance law. 2190-2194 - Tobias Wagner, Thomas Michelitsch, Alexei Sacharow:
On the design of optimisers for surface reconstruction. 2195-2202 - Chi-Way Wang, Lei-Ming Sun, Ming-Hui Jin, Chung-Jung Fu, Li Liu, Chen-hsiung Chan, Cheng-Yan Kao:
A genetic algorithm for resident physician scheduling problem. 2203-2210 - Jun Wang, Ning Jing, Jun Li, Zhong Hui Chen:
A multi-objective imaging scheduling approach for earth observing satellites. 2211-2218 - David C. Wedge, Simon J. Gaskell, Simon J. Hubbard, Douglas B. Kell, King Wai Lau, Claire Eyers:
Peptide detectability following ESI mass spectrometry: prediction using genetic programming. 2219-2225 - Wei Yan, Christopher D. Clack:
Diverse committees vote for dependable profits. 2226-2233 - Wei Yan, Christopher D. Clack:
Evolving robust GP solutions for hedge fund stock selection in emerging markets. 2234-2241 - Lyudmila Zinchenko, Matthias Radecker, Fabio Bisogno:
Multi-objective univariate marginal distribution optimisation of mixed analogue-digital signal circuits. 2242-2251
Real-world applications: posters
- Antonia Azzini, Andrea Tettamanzi:
Automated trading on financial instruments with evolved neural networks. 2252 - Manuel Cebrián, Manuel Alfonseca, Alfonso Ortega:
Automatic generation of benchmarks for plagiarism detection tools using grammatical evolution. 2253 - Dan Costelloe, Conor Ryan:
Towards models of user preferences in interactive musical evolution. 2254 - Ronan Cummins, Colm O'Riordan:
Using genetic programming for information retrieval: local and global query expansion. 2255 - Grégoire Danoy, Enrique Alba, Pascal Bouvry, Matthias R. Brust:
Optimal design of ad hoc injection networks by using genetic algorithms. 2256 - Jonathan Duke, Christopher D. Clack:
Using an evolutionary agent-based simulation to explore hedging pressure in futures markets. 2257 - Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse:
Evolutionary computation-based kernel optimal component analysis for pattern recognition. 2258 - Rajeev Kumar, Pramod Kumar Singh:
On quality performance of heuristic and evolutionary algorithms for biobjective minimum spanning trees. 2259 - Chih-Chung Lai, Chuan-Kang Ting, Ren-Song Ko:
An effective genetic algorithm for improving wireless sensor network lifetime. 2260 - Nuno C. Lourenço, Nuno C. G. Horta:
Automatic analog IC layout generation based on a evolutionary computation approach. 2261 - Irwin Ma, Tony Wong, Thiagas Sankar:
Volatility forecasting using time series data mining and evolutionary computation techniques. 2262 - Shingo Mabu, Yan Chen, Kotaro Hirasawa, Jinglu Hu:
Genetic network programming with actor-critic and its application to stock trading model. 2263 - David Oranchak:
Evolutionary synthesis of photographic artwork using human fitness function derived from web-based social networks. 2264 - Ivan Sekaj, Juraj Perkacz, Tomas Palenik:
Controller design based on genetic programming. 2265 - Ofer M. Shir, Thomas Bäck, Marc J. J. Vrakking:
On the scalability of evolution strategies in the optimization of dynamic molecular alignment. 2266 - Mohammad Tufail, Lindell E. Ormsbee:
Genetic algorithms for water quality management in an urban watershed. 2267 - Chris J. Turner, Ashutosh Tiwari:
An experimental evaluation of genetic process mining. 2268 - Neil Urquhart:
Carbon-friendly travel plan construction using an evolutionary algorithm. 2269
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