default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGECCO 2016: Denver, CO, USA - Companion Material
- Tobias Friedrich, Frank Neumann, Andrew M. Sutton:
Genetic and Evolutionary Computation Conference, GECCO 2016, Denver, CO, USA, July 20-24, 2016, Companion Material Proceedings. ACM 2016, ISBN 978-1-4503-4323-7
Ant Colony Optimization and Swarm Intelligence
- Carlos M. Fernandes
, Juan Julián Merelo Guervós, Agostinho C. Rosa:
Asynchronous Steady State Particle Swarm. 1-2 - Tobias Friedrich, Timo Kötzing, Francesco Quinzan, Andrew M. Sutton:
Ant Colony Optimization Beats Resampling on Noisy Functions. 3-4
Artificial Immune Systems and Biological and Biomedical Applications
- Nina Bulanova, Arina Buzdalova, Maxim Buzdalov:
Fitness-Dependent Hybridization of Clonal Selection Algorithm and Random Local Search. 5-6 - Julie Greensmith, Andrew M. Jackson, Ian Spendlove:
Exploiting the Plasticity of Primary and Secondary Response Mechanisms in Artificial Immune Systems. 7-8 - Stephen Lincoln, Jacquelynn Benjamino, Joerg Graf, Ranjan Srivastava:
Metabolite Overproduction through Engineering and Optimization of Microbiome Composition Dynamics. 9-10 - Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer:
VorAIS: A Multi-Objective Voronoi Diagram-based Artificial Immune System. 11-12 - Marta Vallejo, Jeremy Cosgrove, Jane E. Alty, Stephen L. Smith, David W. Corne, Michael A. Lones:
Using Multiobjective Evolutionary Algorithms to Understand Parkinson's Disease. 13-14
Complex Systems (Artificial Life/Robotics/Evolvable Hardware/Generative and Developmental Systems)
- Viplove Arora, Mario Ventresca:
A Multi-objective Optimization Approach for Generating Complex Networks. 15-16 - Camilo Cruz, Justyna Karakiewicz, Michael Kirley:
A Morphogenetic Design Strategy Using a Composite CA Model. 17-18 - Justin K. Pugh, Lisa B. Soros, Kenneth O. Stanley:
An Extended Study of Quality Diversity Algorithms. 19-20 - Jacob Schrum, Joel Lehman, Sebastian Risi:
Automatic Evolution of Multimodal Behavior with Multi-Brain HyperNEAT. 21-22 - Davy Smith, Laurissa N. Tokarchuk, Geraint A. Wiggins:
Exploring Conflicting Objectives with MADNS: Multiple Assessment Directed Novelty Search. 23-24 - Anya E. Vostinar, Luis Zaman, Charles Ofria:
What Factors Drive the Evolution of Mutualism? 25-26 - Joshuah Wolper, George Abraham:
Evolving Novel Cellular Automaton Seeds Using Compositional Pattern Producing Networks (CPPN). 27-28
Continuous Optimization
- Abbas Abdolmaleki, Nuno Lau, Luís Paulo Reis, Gerhard Neumann:
Contextual Stochastic Search. 29-30 - Yong-Feng Ge, Wei-jie Yu, Jun Zhang:
Diversity-Based Multi-Population Differential Evolution for Large-Scale Optimization. 31-32 - Ofer M. Shir:
Multilevel Evolution Strategies for Multigrid Problems. 33-34 - Fabien Teytaud, Olivier Teytaud:
QR Mutations Improve Many Evolution Strategies: A Lot On Highly Multimodal Problems. 35-36
Digital Entertainment Technologies and Arts
- David Daniel Albarracín-Molina, Juan C. Moya, Francisco J. Vico:
An Evo-Devo System for Algorithmic Composition that Actually Works. 37-38 - Andreas Scheibenpflug, Johannes Karder, Susanne Schaller, Stefan Wagner, Michael Affenzeller:
Evolutionary Procedural 2D Map Generation using Novelty Search. 39-40 - Patrikk D. Sørensen, Jeppeh M. Olsen, Sebastian Risi:
Interactive Super Mario Bros Evolution. 41-42
Evolutionary Combinatorial Optimization and Metaheuristics
- Pierre Bergé, Kaourintin Le Guiban, Arpad Rimmel, Joanna Tomasik:
Search Space Exploration and an Optimization Criterion for Hard Design Problems. 43-44 - Daniil Chivilikhin:
Experimental Study of Automated Parameter Tuning on the Example of irace and the Traveling Salesman Problem. 45-46 - Emmanuel Kieffer, Mateusz Guzek, Grégoire Danoy, Pascal Bouvry, Anass Nagih:
A Novel Co-evolutionary Approach for Constrained Genetic Algorithms. 47-48 - Jinhyun Kim, Yourim Yoon, Byung Ro Moon:
Solving Maximum Cut Problem with an Incremental Genetic Algorithm. 49-50 - Rafael de Santiago, Luís C. Lamb:
Efficient Stochastic Local Search for Modularity Maximization. 51-52 - Vívian Ludimila Aguiar Santos, José Elías C. Arroyo, Thales Francisco Mota Carvalho:
Iterated Local Search Based Heuristic for Scheduling Jobs on Unrelated Parallel Machines with Machine Deterioration Effect. 53-54 - Sara Tari, Matthieu Basseur, Adrien Goëffon:
Toward the Design of Efficient Pivoting Rules for Local Search. 55-56 - Yuezhong Wu, Thomas Weise, Weichen Liu:
Hybridizing Different Local Search Algorithms with Each Other and Evolutionary Computation: Better Performance on the Traveling Salesman Problem. 57-58 - Baorong Zhai, Hao Chen, Jun Li, Ning Jing:
A Coevolution Genetic Algorithm for Conflict Resolution of Multi-user Satellite Observation Activities. 59-60
Evolutionary Machine Learning
- Vinícius Veloso de Melo, Wolfgang Banzhaf:
Improving Logistic Regression Classification of Credit Approval with Features Constructed by Kaizen Programming. 61-62 - Sungjoo Ha, Sangyeop Lee, Byung-Ro Moon:
Inspecting the Latent Space of Stock Market Data with Genetic Programming. 63-64 - Collin F. Lynch, Linting Xue, Min Chi:
Evolving Augmented Graph Grammars for Argument Analysis. 65-66 - Takato Tatsumi, Takahiro Komine, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:
Variance-based Learning Classifier System without Convergence of Reward Estimation. 67-68 - Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue:
Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions. 69-70
Evolutionary Multiobjective Optimization
- Md. Asafuddoula, Hemant Kumar Singh, Tapabrata Ray:
A CUDA Implementation of an Improved Decomposition Based Evolutionary Algorithm for Multi-Objective Optimization. 71-72 - Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Hernán E. Aguirre, Kiyoshi Tanaka:
Local Search Move Strategies within MOEA/D. 73-74 - Abhinav Gaur, Kalyanmoy Deb:
Adaptive Use of Innovization Principles for a Faster Convergence of Evolutionary Multi-Objective Optimization Algorithms. 75-76 - Haitham Ahmed Seada, Mohamed Abouhawwash, Kalyanmoy Deb:
Towards a Better Diversity of Evolutionary Multi-Criterion Optimization Algorithms using Local Searches. 77-78 - Saeideh Shirinzadeh, Mathias Soeken, Daniel Große, Rolf Drechsler:
Approximate BDD Optimization with Prioritized ε-Preferred Evolutionary Algorithm. 79-80 - David J. Walker, Ed Keedwell:
Multi-objective Optimisation with a Sequence-based Selection Hyper-heuristic. 81-82 - Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim, Yusuke Nojima:
Weighted Optimization Framework for Large-scale Multi-objective Optimization. 83-84
Genetic Algorithms
- Chia-hua Chang, Tian-Li Yu:
Investigation on Parameterless Schemes for DSMGA-II. 85-86 - Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
A Novel GA-based Feature Selection Approach for High Dimensional Data. 87-88 - Farshad Ghassemi Toosi, Nikola S. Nikolov, Malachy Eaton:
A GA-Inspired Approach to the Reduction of Edge Crossings in Force-Directed Layouts. 89-90 - Sumaiya Iqbal, Md. Tamjidul Hoque:
A Homologous Gene Replacement based Genetic Algorithm. 91-92 - Sebastian Lenartowicz, Mark Wineberg:
mpEAd: Multi-Population EA Diagrams. 93-94 - Robin Mueller-Bady, Martin Kappes, Inmaculada Medina-Bulo, Francisco Palomo-Lozano:
Maintaining Genetic Diversity in Multimodal Evolutionary Algorithms using Population Injection. 95-96
Genetic Programming
- Iwo Bladek, Krzysztof Krawiec:
Simultaneous Synthesis of Multiple Functions using Genetic Programming with Scaffolding. 97-98 - Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli:
Arbitrarily Close Alignments in the Error Space: A Geometric Semantic Genetic Programming Approach. 99-100 - James Alexander Hughes, Mark Daley:
Finding Nonlinear Relationships in fMRI Time Series with Symbolic Regression. 101-102 - Quang Nhat Huynh, Hemant Kumar Singh, Tapabrata Ray:
A Semantics based Symbolic Regression Framework for Mining Explicit and Implicit Equations from Data. 103-104 - Francisco A. L. Manfrini, Heder S. Bernardino, Helio J. C. Barbosa:
On Heuristics for Seeding the Initial Population of Cartesian Genetic Programming Applied to Combinational Logic Circuits. 105-106 - Kinga Mrugala, Nilufer Tuptuk, Stephen Hailes:
Evolving Attackers against Wireless Sensor Networks. 107-108 - John Park, Yi Mei, Gang Chen, Mengjie Zhang:
Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics. 109-110 - Alejandro Sosa-Ascencio, Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos:
Grammar-based Selection Hyper-heuristics for Solving Irregular Bin Packing Problems. 111-112 - Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo:
Solving the Lawn Mower problem with Kaizen Programming and λ-Linear Genetic Programming for Module Acquisition. 113-114
Integrative Genetic and Evolutionary Computation
- Ari Larson, Anton Bernatskiy, Collin Cappelle, Kenneth R. Livingston, Nicholas Livingston, John H. Long Jr., Jodi Schwarz, Marc L. Smith, Josh C. Bongard:
Recombination Hotspots Promote the Evolvability of Modular Systems. 115-116
Parallel Evolutionary Systems
- Xiao Fang Liu, Zhi-Hui Zhan, Jun-Hao Lin, Jun Zhang:
Parallel Differential Evolution Based on Distributed Cloud Computing Resources for Power Electronic Circuit Optimization. 117-118 - Narjess Dali, Sadok Bouamama:
A New Hybrid GPU-PSO Approach for Solving Max-CSPs. 119-120 - Pasquale Salza, Filomena Ferrucci, Federica Sarro:
Develop, Deploy and Execute Parallel Genetic Algorithms in the Cloud. 121-122
Real World Applications
- Ali Ahrari, Hong Lei, Montassar Aidi Sharif, Kalyanmoy Deb, Xiaobo Tan:
Optimum Design of Artificial Lateral Line Systems for Object Tracking under Uncertain Conditions. 123-124 - Noura Hamzé, Pierre Collet, Caroline Essert:
Introducing Pareto-based MOEA to Neurosurgery Preoperative Path Planning. 125-126 - Piotr Lipinski, Krzysztof Michalak, Adrian Lancucki:
Improving Classification of Patterns in Ultra-High Frequency Time Series with Evolutionary Algorithms. 127-128 - Xiaoyan Liu, Feng Li, Yongsheng Ding, Lu Wang, Kuangrong Hao:
Mechanical Modeling with Particle Swarm Optimization Algorithm for Braided Bicomponent Ureteral Stent. 129-130 - Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang:
A Graph-based QoS-Aware Method for Web Service Composition with Branching. 131-132 - Gorka Sorrosal, Cruz E. Borges, Martin Holeña, Ana María Macarulla, Cristina Martin Andonegui, Ainhoa Alonso-Vicario:
Evolutionary Dynamic Optimization of Control Trajectories for the Catalytic Transformation of the Bioethanol-To-Olefins Process using Neural Networks. 133-134 - Terence Soule, Barrie D. Robison, Robert B. Heckendorn:
Co-evolution of Sensor Morphology and Behavior. 135-136
Search-Based Software Engineering and Self-* Search
- Jérémie Dubois-Lacoste, Thomas Stützle:
Configuring a Stigmergy-based Traffic Light Controller. 137-138 - David Espinoza-Nevárez, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Gustavo Gatica:
Selection and Generation Hyper-heuristics for Solving the Vehicle Routing Problem with Time Windows. 139-140 - Arkady Rost, Irina Petrova, Arina Buzdalova:
Adaptive Parameter Selection in Evolutionary Algorithms by Reinforcement Learning with Dynamic Discretization of Parameter Range. 141-142 - Christopher L. Simons, Jim Smith:
Exploiting Antipheromone in Ant Colony Optimisation for Interactive Search-Based Software Design and Refactoring. 143-144 - Danilo Vasconcellos Vargas, Junichi Murata:
Curious: Searching for Unknown Regions of Space with a Subpopulation-based Algorithm. 145-146
Theory
- Maxim Buzdalov:
An Algorithm for Computing Lower Bounds for Unrestricted Black-Box Complexities. 147-148 - Fergal Lane, R. Muhammad Atif Azad, Conor Ryan:
Principled Evolutionary Algorithm Design and the Kernel Trick. 149-150 - Ofer M. Shir, Jonathan Roslund, Amir Yehudayoff:
On the Capacity of Evolution Strategies to Statistically Learn the Landscape. 151-152
Hot Off Press
- Abbas Abdolmaleki, Rudolf Lioutikov, Nuno Lau, Luís Paulo Reis, Jan Peters, Gerhard Neumann:
Model-Based Relative Entropy Stochastic Search. 153-154 - Alberto Bartoli, Andrea De Lorenzo, Eric Medvet, Fabiano Tarlao:
On the Automatic Construction of Regular Expressions from Examples (GP vs. Humans 1-0). 155-156 - Michal Bidlo:
Evolution of Complex Emergent Behaviour in Multi-State Cellular Automata. 157-158 - Miguel Duarte, Vasco Costa, Jorge C. Gomes, Tiago Rodrigues, Fernando Silva, Sancho Moura Oliveira, Anders Lyhne Christensen:
Unleashing the Potential of Evolutionary Swarm Robotics in the Real World. 159-160 - Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton:
The Benefit of Recombination in Noisy Evolutionary Search. 161-162 - Pawel Liskowski, Krzysztof Krawiec:
Online Discovery of Search Objectives for Test-based Problems. 163-164 - Jakub Nalepa, Michal Kawulok:
The Smaller, the Better: Selecting Refined SVM Training Sets Using Adaptive Memetic Algorithm. 165-166 - Xuewei Qi, Matthew J. Barth, Guoyuan Wu, Kanok Boriboonsomsin:
Intelligent On-Line Energy Management System for Plug-in Hybrid Electric Vehicles based on Evolutionary Algorithm. 167-168
Introduction Tutorials
- Marco Tomassini:
Introduction to Complex Networks. 169-184 - Kenneth A. De Jong:
Evolutionary Computation: A Unified Approach. 185-199 - Dimo Brockhoff, Tobias Wagner:
GECCO 2016 Tutorial on Evolutionary Multiobjective Optimization. 201-227 - Risto Miikkulainen:
Evolving Neural Networks. 229-253 - Una-May O'Reilly:
Genetic Programming: A Tutorial Introduction. 255-271 - Daniel R. Tauritz, John R. Woodward:
Hyper-Heuristics. 273-304 - Ryan J. Urbanowicz:
Introducing Rule-Based Machine Learning: Capturing Complexity. 305-332 - Youhei Akimoto, Anne Auger, Nikolaus Hansen:
Introduction to Randomized Continuous Optimization. 333-355 - Mark Wineberg:
Introductory Statistics for EC: A Visual Approach. 357-383 - Dirk Thierens, Peter A. N. Bosman:
Model-Based Evolutionary Algorithms. 385-412 - Franz Rothlauf:
Representations for Evolutionary Algorithms. 413-434 - Per Kristian Lehre, Pietro S. Oliveto:
Runtime Analysis of Population-based Evolutionary Algorithms. 435-462 - Benjamin Doerr, Carola Doerr:
Theory for Non-Theoreticians. 463-482
Advanced Tutorials
- Mauricio G. C. Resende, Celso C. Ribeiro:
Biased Ranom-Key Genetic Algorithms: An Advanced Tutorial. 483-514 - L. Darrell Whitley:
Blind No More: Deterministic Partition Crossover and Deterministic Improving Moves. 515-532 - Youhei Akimoto, Anne Auger, Nikolaus Hansen:
CMA-ES and Advanced Adaptation Mechanisms. 533-562 - Carlos A. Coello Coello:
Constraint-Handling Techniques used with Evolutionary Algorithms. 563-587 - Lee Spector, Nicholas Freitag McPhee:
Expressive Genetic Programming: Concepts and Applications. 589-608 - Kenneth O. Stanley:
Generative and Developmental Systems Tutorial. 609-638 - Alberto Moraglio, Krzysztof Krawiec:
Semantic Genetic Programming. 639-662 - Jürgen Branke:
Simulation Optimisation: Tutorial. 663-686 - Krzysztof Krawiec, Malcolm I. Heywood:
Solving Complex Problems with Coevolutionary Algorithms. 687-713 - Dirk Sudholt:
Theory of Swarm Intelligence. 715-734 - Bogdan Filipic, Tea Tusar:
Visualization in Multiobjective Optimization. 735-751
Specialized Tutorials
- Stephen L. Smith:
Medical Applications of Evolutionary Computation. 765-793 - Thomas Stützle, Manuel López-Ibáñez:
Automatic (Offline) Configuration of Algorithms. 795-818 - Juan Julián Merelo Guervós:
Cloudy Distributed Evolutionary Algorithms. 819-821 - Enrique Alba:
Intelligent Systems for Smart Cities. 823-839 - Julian Togelius:
Evolutionary Computation and Games. 841-860 - Mengjie Zhang, Bing Xue:
Evolutionary Computation for Feature Selection and Feature Construction. 861-881 - Stjepan Picek:
Evolutionary Computation and Cryptology. 883-909
IAM 2016 Workshop
- Silvino Fernandez, Thomas Stützle, Pablo Valledor Pellicer:
IAM 2016 Chairs' Welcome & Organization. 911-912 - Maizura Mokhtar, Ian Hunt, Stephen Burns, Dave Ross:
Optimising a Waste Heat Recovery System using Multi-Objective Evolutionary Algorithm. 913-920 - Ignacio Arnaldo, Erik Hemberg, Una-May O'Reilly:
Multi-Line Batch Scheduling by Similarity. 921-927 - Abdel-Rahman Hedar, Alaa E. Abdel-Hakim, Majid Almaraashi:
Granular-Based Dimension Reduction for Solar Radiation Prediction Using Adaptive Memory Programming. 929-936 - Silvino Fernandez, Pablo Valledor, Diego Díaz, Eneko Malatsetxebarria, Miguel Iglesias:
Criticality of Response Time in the usage of Metaheuristics in Industry. 937-940
GECCO Workshop on Measuring and Promoting Diversity in Evolutionary Algorithms
- Giovanni Squillero, Alberto Paolo Tonda:
MPDEA 2016 Chairs' Welcome & Organization. 941 - Giovanni Squillero, Alberto Paolo Tonda:
Promoting Diversity in Evolutionary Algorithms: an Updated Bibliography. 943-944 - A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Shahryar Rahnamayan:
Maintaining Diversity in The Bounded Pareto-Set: A Case of Opposition Based Solution Generation Scheme. 945-951 - James Byron, Wayne Iba:
Population Diversity as a Selection Factor: Improving Fitness by Increasing Diversity. 953-959 - Davy Smith, Laurissa N. Tokarchuk, Geraint A. Wiggins:
Harnessing Phenotypic Diversity towards Multiple Independent Objectives. 961-968 - Jessica P. C. Bonson, Stephen Kelly, Andrew R. McIntyre, Malcolm I. Heywood:
On Synergies between Diversity and Task Decomposition in Constructing Complex Systems with GP. 969-976 - Ahmed Salah, Emma Hart:
A Modified Grid Diversity Operator for Discrete Optimization and its Application to Wind Farm Layout Optimization Problems. 977-982 - Thomas Helmuth, Nicholas Freitag McPhee, Lee Spector:
Effects of Lexicase and Tournament Selection on Diversity Recovery and Maintenance. 983-990
GECCO'16 Student Workshop
- Vanessa Volz, Samadhi Nallaperuma, Boris Naujoks:
GECCO'16 Student Workshop Chairs' Welcome & Organization. 991-992 - Perla Juárez-Smith, Leonardo Trujillo:
Integrating Local Search within neat-GP. 993-996 - Farshad Ghassemi Toosi, Nikola S. Nikolov, Malachy Eaton:
Simulated Annealing as a Pre-Processing Step for Force-Directed Graph Drawing. 997-1000 - Shanshan Huang, Zhigang Ren, Muju Wang, Chenlin Sun:
A Two Stages Invasive Weed Optimization via a New Clustering Strategy. 1001-1005 - Nura Mukhtar, George Macleod Coghill, Wei Pang:
FdDCA: A Novel Fuzzy Deterministic Dendritic Cell Algorithm. 1007-1010 - Raquel Hernández Gómez, Carlos A. Coello Coello:
Parallel SMS-EMOA for Many-Objective Optimization Problems. 1011-1014 - Edward R. Pantridge, Lee Spector:
Evolution of Layer Based Neural Networks: Preliminary Report. 1015-1022 - Carlos A. Goribar Jiménez, Yazmín Maldonado, Leonardo Trujillo:
Random Tree Generator for an FPGA-based Genetic Programming System. 1023-1026 - Viacheslav Shalamov, Andrey Filchenkov, Daniil Chivilikhin:
Small-Moves Based Mutation For Pick-Up And Delivery Problem. 1027-1030 - Lauro C. M. de Paula, Anderson da Silva Soares, Telma Woerle de Lima, Arlindo R. G. Filho, Clarimar José Coelho:
Variable Selection for Multivariate Calibration in Chemometrics: A Real-World Application with Building Blocks Disruption Problem. 1031-1034 - Eva Moscovici:
Adding Program Length Bias to the Lexicase and Tournament Selection Algorithms. 1035-1038 - Kodi C. A. Cumbo, Samantha Heck, Ian Tanimoto, Travis DeVault, Robert B. Heckendorn, Terence Soule:
Bee-Inspired Landmark Recognition in Robotic Navigation. 1039-1042
Evolution in Cognition 2016
- Stéphane Doncieux, Joshua Evan Auerbach, Richard J. Duro, Harold P. de Vladar:
Evolution in Cognition 2016 Chairs' Welcome. 1043-1045 - Dennis Wilson, Sylvain Cussat-Blanc, Hervé Luga:
The Evolution of Artificial Neurogenesis. 1047-1048 - Harold P. de Vladar, Anna Fedor, András Szilágyi, István Zachar, Eörs Szathmáry:
An Attractor Network-Based Model with Darwinian Dynamics. 1049-1052 - YoonSik Shim, Joshua Evan Auerbach, Phil Husbands:
Darwinian Dynamics of Embodied Chaotic Exploration. 1053-1056 - Richard J. Duro, José Antonio Becerra, Juan Monroy, Pilar Caamaño:
Considering Memory Networks in the LTM Structure of the Multilevel Darwinist Brain. 1057-1060 - Joshua Evan Auerbach, Giovanni Iacca, Dario Floreano:
Gaining Insight into Quality Diversity. 1061-1064 - Rodrigo Salgado, Abraham Prieto, Francisco Bellas, Luis Calvo-Varela, Richard J. Duro:
Neuroevolutionary Motivational Engine for Autonomous Robots. 1065-1068
SecDef Workshop 2016
- Günes Kayacik, Frank Moore:
SecDef Workshop 2016 Chairs' Welcome & Organization. 1069-1070 - Alex Plachkov, Rami S. Abielmona, Moufid Harb, Rafael Falcon, Diana Inkpen, Voicu Groza, Emil M. Petriu:
Automatic Course of Action Generation using Soft Data for Maritime Domain Awareness. 1071-1078 - Ugur Cekmez, Mustafa Ozsiginan, Ozgur Koray Sahingoz:
Multi-UAV Path Planning with Parallel Genetic Algorithms on CUDA Architecture. 1079-1086 - Jacob B. Rosen, Erik Hemberg, Una-May O'Reilly:
Dynamics of Adversarial Co-evolution in Tax Non-Compliance Detection. 1087-1094 - Robert J. Smith, Ayse Nur Zincir-Heywood, Malcolm I. Heywood, John T. Jacobs:
Initiating a Moving Target Network Defense with a Real-time Neuro-evolutionary Detector. 1095-1102 - Gianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino:
An Incremental Ensemble Evolved by using Genetic Programming to Efficiently Detect Drifts in Cyber Security Datasets. 1103-1110
Workshop on Algorithms and Data Structures for Evolutionary Computation
- Maxim Buzdalov:
GECCO'16 Workshop on Algorithms and Data Structures for Evolutionary Computation Chairs' Welcome. 1111 - Proteek Chandan Roy, Md. Monirul Islam, Kalyanmoy Deb:
Best Order Sort: A New Algorithm to Non-dominated Sorting for Evolutionary Multi-objective Optimization. 1113-1120 - Niyaz Nigmatullin, Maxim Buzdalov, Andrey Stankevich:
Efficient Removal of Points with Smallest Crowding Distance in Two-dimensional Incremental Non-dominated Sorting. 1121-1128
Genetic Improvement 2016
- Westley Weimer, Justyna Petke, David Robert White:
Genetic Improvement 2016 Chairs' Welcome & Organization. 1129-1130 - William B. Langdon, Albert Vilella, Brian Yee Hong Lam, Justyna Petke, Mark Harman:
Benchmarking Genetically Improved BarraCUDA on Epigenetic Methylation NGS datasets and nVidia GPUs. 1131-1132 - David R. White:
Guiding Unconstrained Genetic Improvement. 1133-1134 - Justyna Petke:
Genetic Improvement for Code Obfuscation. 1135-1136 - Markus Wagner:
Speeding up the Proof Strategy in Formal Software Verification. 1137-1138 - Mahmoud A. Bokhari, Markus Wagner:
Optimising Energy Consumption Heuristically on Android Mobile Phones. 1139-1140 - Zoltan A. Kocsis, John H. Drake, Douglas Carson, Jerry Swan:
Automatic Improvement of Apache Spark Queries using Semantics-preserving Program Reduction. 1141-1146 - Víctor R. López-López, Leonardo Trujillo, Pierrick Legrand, Gustavo Olague:
Genetic Programming: From Design to Improved Implementation. 1147-1154 - John R. Woodward, Colin G. Johnson, Alexander E. I. Brownlee:
GP vs GI: If You Can't Beat Them, Join Them. 1155-1156 - John R. Woodward, Alexander E. I. Brownlee, Colin G. Johnson:
Evals is Not Enough: Why We Should Report Wall-clock Time. 1157-1158 - Unai Garciarena, Roberto Santana:
Evolutionary Optimization of Compiler Flag Selection by Learning and Exploiting Flags Interactions. 1159-1166
BBOB-2016
- Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs' Welcome Message. 1167 - Ilya Loshchilov, Tobias Glasmachers:
Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES). 1169-1176 - Oswin Krause, Tobias Glasmachers, Nikolaus Hansen, Christian Igel:
Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite. 1177-1184 - Kouhei Nishida, Youhei Akimoto:
Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noiseless Testbed. 1185-1192 - Kouhei Nishida, Youhei Akimoto:
Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noisy Testbed. 1193-1200 - Cheryl Sze Yin Wong, Abdullah Al-Dujaili, Suresh Sundaram:
Hypervolume-Based DIRECT for Multi-Objective Optimisation. 1201-1208 - Abdullah Al-Dujaili, Suresh Sundaram:
A MATLAB Toolbox for Surrogate-Assisted Multi-Objective Optimization: A Preliminary Study. 1209-1216 - Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 Testbed. 1217-1223 - Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite. 1225-1232 - Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite. 1233-1239 - Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite. 1241-1247 - Tea Tusar, Bogdan Filipic:
Performance of the DEMO Algorithm on the Bi-objective BBOB Test Suite. 1249-1256 - Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite. 1257-1264
SAEOpt 2016
- Alma As-Aad Rahat, Richard M. Everson, Jonathan E. Fieldsend, Yaochu Jin, Handing Wang:
Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization. 1265-1266 - Alexander E. I. Brownlee:
Mining Markov Network Surrogates for Value-Added Optimisation. 1267-1274 - Patrick MacAlpine, Elad Liebman, Peter Stone:
Adaptation of Surrogate Tasks for Bipedal Walk Optimization. 1275-1276 - Chao-Li Sun, Yaochu Jin, Jinliang Ding, Jianchao Zeng:
Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems. 1277-1278 - Handing Wang:
Uncertainty in Surrogate Models. 1279 - Yaochu Jin:
Data Driven Evolutionary Optimization of Complex Systems: Big Data Versus Small Data. 1281-1282
Workshop Evolutionary Computation in Computational Structural Biology
- José Santos Reyes, Julia Handl, Amarda Shehu:
Workshop Evolutionary Computation in Computational Structural Biology 2016 Chairs' Welcome. 1283-1284 - Gregorio Kappaun Rocha, Fábio Lima Custódio, Helio J. C. Barbosa, Laurent Emmanuel Dardenne:
Using Crowding-Distance in a Multiobjective Genetic Algorithm for Protein Structure Prediction. 1285-1292 - Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu:
Path-based Guidance of an Evolutionary Algorithm in Mapping a Fitness Landscape and its Connectivity. 1293-1298 - César Manuel Vargas Benítez, Rafael Stubs Parpinelli, Heitor Silvério Lopes:
An Ecologically-inspired Parallel Approach Applied to the Protein Structure Reconstruction from Contact Maps. 1299-1306 - Daniel Varela, José Santos Reyes:
Protein Folding Modeling with Neural Cellular Automata Using Rosetta. 1307-1312
EvoSoft 2016
- Stefan Wagner, Michael Affenzeller:
Evolutionary Computation Software Systems (EvoSoft) Workshop 2016 Chairs' Welcome & Organization. 1313-1314 - Pasquale Salza, Filomena Ferrucci, Federica Sarro:
elephant56: Design and Implementation of a Parallel Genetic Algorithms Framework on Hadoop MapReduce. 1315-1322 - Juan Julián Merelo Guervós, Pedro A. Castillo, Pablo García-Sánchez, Paloma de las Cuevas, Mario García Valdez:
NodIO: A Framework and Architecture for Pool-based Evolutionary Computation. 1323-1330 - Andreas Beham, Stefan Wagner, Michael Affenzeller:
Optimization Knowledge Center: A Decision Support System for Heuristic Optimization. 1331-1338
ECADA 2016
- Manuel López-Ibáñez, Daniel R. Tauritz, John R. Woodward:
ECADA 2016 Chairs' Welcome. 1339 - Alberto Franzin, Thomas Stützle:
Exploration of Metaheuristics through Automatic Algorithm Configuration Techniques and Algorithmic Frameworks. 1341-1347 - Lee Spector, Nicholas Freitag McPhee, Thomas Helmuth, Maggie M. Casale, Julian Oks:
Evolution Evolves with Autoconstruction. 1349-1356 - John R. Woodward, Colin G. Johnson, Alexander E. I. Brownlee:
Connecting Automatic Parameter Tuning, Genetic Programming as a Hyper-heuristic, and Genetic Improvement Programming. 1357-1358 - Alex R. Bertels, Daniel R. Tauritz:
Why Asynchronous Parallel Evolution is the Future of Hyper-heuristics: A CDCL SAT Solver Case Study. 1359-1365
MedGEC'16
- Stephen L. Smith, Stefano Cagnoni, Robert M. Patton:
MedGEC'16 Chairs' Welcome. 1367 - Marta Vallejo, Jeremy Cosgrove, Jane E. Alty, Stuart Jamieson, Stephen L. Smith, David W. Corne, Michael A. Lones:
A Multi-Objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease Patients. 1369-1376 - Alejandro Baldominos, Carmen del Barrio, Yago Sáez:
Exploring the Application of Hybrid Evolutionary Computation Techniques to Physical Activity Recognition. 1377-1384 - Vitoantonio Bevilacqua, Antonio Brunetti, Maurizio Triggiani, Domenico Magaletti, Michele Telegrafo, Marco Moschetta:
An Optimized Feed-forward Artificial Neural Network Topology to Support Radiologists in Breast Lesions Classification. 1385-1392 - J. Manuel Colmenar, Stephan M. Winkler, Gabriel Kronberger, Esther Maqueda, Marta Botella, José Ignacio Hidalgo:
Predicting Glycemia in Diabetic Patients By Evolutionary Computation and Continuous Glucose Monitoring. 1393-1400
MBEA 2016
- Peter A. N. Bosman, John A. W. McCall:
GECCO'16 Model-Based Evolutionary Algorithms (MBEA) Workshop Chairs' Welcome. 1401
IWERML'16
- Ryan J. Urbanowicz, Randal S. Olson, Jason H. Moore:
Pareto Inspired Multi-objective Rule Fitness for Adaptive Rule-based Machine Learning. 1403 - Will N. Browne:
Code Fragments: Past and Future use in Transfer Learning. 1405 - Ryan J. Urbanowicz, Will N. Browne, Karthik Kuber:
Hands-on Workshop on Learning Classifier Systems. 1407-1408 - Karthik Kuber, Masaya Nakata, Kamran Shafi:
International Workshop on Evolutionary Rule-Based Machine Learning Workshop (IWERML) Welcome & Organization. 1409-1410
VizGEC 2016
- Lukás Sekanina, Vlastimil Kapusta:
Visualisation and Analysis of Genetic Records Produced by Cartesian Genetic Programming. 1411-1418 - Nicholas Freitag McPhee, Maggie M. Casale, Mitchell Finzel, Thomas Helmuth, Lee Spector:
Visualizing Genetic Programming Ancestries. 1419-1426 - Juan Julián Merelo Guervós, Mario García Valdez, Carlos Cotta:
Visualizing for Success: How Can we Make the User more Efficient in Interactive Evolutionary Algorithms? 1427-1428 - Jonathan E. Fieldsend:
Enabling Dominance Resistance in Visualisable Distance-Based Many-Objective Problems. 1429-1436 - Chengshan Pang, Mang Wang, Weiming Liu, Bin Li:
Learning Features for Discriminative Behavior Analysis of Evolutionary Algorithms via Slow Feature Analysis. 1437-1444 - David J. Walker, Jonathan E. Fieldsend, Richard M. Everson:
Visualisation Methods in Genetic and Evolutionary Computation (VizGEC 2016) Chairs' Welcome & Organization. 1445-1446
Women@GECCO 2016
- Carola Doerr, Julia Handl, Emma Hart, Gabriela Ochoa, Amarda Shehu, Tea Tusar, Anya E. Vostinar, Christine Zarges, Nur Zincir-Heywood:
Women@GECCO 2016 Chairs' Welcome. 1447-1449
Late-Breaking Abstracts Workshop
- Francisco Chicano:
Late-Breaking Abstracts Workshop at GECCO'16: Chair's Welcome. 1451 - Sawsan Al-Malak, Manar Ibrahim Hosny:
A Multimodal Adaptive Genetic Clustering Algorithm. 1453-1454 - Ghada Badr, Manar Ibrahim Hosny, Nuha Bintayyash, Eman Albilali, Souad Larabi Marie-Sainte:
BeamGA Median: A Hybrid Heuristic Search Framework. 1455-1456 - Amit Benbassat, Avishai Henik:
Nearing Stroop Effect Replication via Neuroevolution. 1457-1458 - Olfa Chebbi, Nouri Nouha:
Reducing Energy Consumption in Smart Cities: A Scatter Search Based Approach. 1459-1460 - Lauro C. M. de Paula, Anderson da Silva Soares, Telma Woerle de Lima, Clarimar José Coelho:
Feature Selection using Genetic Algorithm: An Analysis of the Bias-Property for One-Point Crossover. 1461-1462 - Jader C. Garbelini, André Yoshiaki Kashiwabara, Danilo Sipoli Sanches:
Discovery Motifs by Evolutionary Computation. 1463-1464 - Ami Hauptman:
Are Evolutionary Computation-Based Methods Comparable to State-of-the-art non-Evolutionary Methods for Community Detection? 1465-1466 - Janusz Orkisz, Maciej Glowacki:
On Development of a New Approach for EA Acceleration in Chosen Large Optimization Problems of Mechanics. 1467-1468 - Eneko Osaba, Roberto Carballedo, Pedro López-García, Fernando Díaz:
Comparison between Golden Ball Meta-heuristic, Evolutionary Simulated Annealing and Tabu Search for the Traveling Salesman Problem. 1469-1470 - Eneko Osaba, Pedro López-García, Antonio D. Masegosa, Enrique Onieva, Hugo Landaluce, Asier Perallos:
TIMON Project: Description and Preliminary Tests for Traffic Prediction Using Evolutionary Techniques. 1471-1472 - Nixon K. Ronoh, Edna Milgo, Ambrose K. Kiprop, Bernard Manderick:
Schemata Bandits for MAXSAT. 1473-1474 - Danilo Sipoli Sanches, João Bosco A. London Jr., Alexandre C. B. Delbem:
Multiobjective Discrete Differential Evolution for Service Restoration in Energy Distribution Systems. 1475-1476 - Jason Zutty, Daniel Long, Gregory Rohling:
Increasing the Throughput of Expensive Evaluations Through a Vector Based Genetic Programming Framework. 1477-1478
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-15 01:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
