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ORCIDWolfgang Banzhaf
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- affiliation: Michigan State University, East Lansing, MI, USA
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2020 – today
- 2024
[j83]Iliya Miralavy, Wolfgang Banzhaf:
A Spatial Artificial Chemistry Implementation of a Gene Regulatory Network Aimed at Generating Protein Concentration Dynamics. Artif. Life 30(1): 65-90 (2024)- [j82]Hengzhe Zhang, Qi Chen
, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A geometric semantic macro-crossover operator for evolutionary feature construction in regression. Genet. Program. Evolvable Mach. 25(1): 2 (2024) - [j81]Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang, Wolfgang Banzhaf:
Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling. Genet. Program. Evolvable Mach. 25(1): 5 (2024) - [j80]Wolfgang Banzhaf:
"The physics of evolution" by Michael W. Roth, Crc press, 2023. Genet. Program. Evolvable Mach. 25(2): 16 (2024) - [j79]Nicolas Scalzitti, Iliya Miralavy, David E. Korenchan, Christian T. Farrar, Assaf A. Gilad, Wolfgang Banzhaf:
Computational peptide discovery with a genetic programming approach. J. Comput. Aided Mol. Des. 38(1): 17 (2024) - [j78]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Modular Multitree Genetic Programming for Evolutionary Feature Construction for Regression. IEEE Trans. Evol. Comput. 28(5): 1455-1469 (2024) - [c162]Yuri Lavinas, Nathan Haut, William Punch, Wolfgang Banzhaf, Sylvain Cussat-Blanc:
Data Sampling via Active Learning in Cartesian Genetic Programming for Biomedical Data. CEC 2024: 1-8 - [c161]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression. EuroGP 2024: 142-158 - [c160]Yuri Lavinas, Nathaniel Haut, William Punch, Wolfgang Banzhaf, Sylvain Cussat-Blanc:
Dynamically Sampling biomedical Images For Genetic Programming. GECCO Companion 2024: 515-518 - [c159]Wolfgang Banzhaf, Ting Hu:
Linear Genetic Programming. GECCO Companion 2024: 759-771 - [c158]Wolfgang Banzhaf, Illya Bakurov:
On the Nature of the Phenotype in Tree Genetic Programming. GECCO 2024 - [c157]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]. GECCO Companion 2024: 65-66 - [c156]Sardar Bin Murtaza, Aidan Mccoy, Zhiyuan Ren, Aidan Murphy, Wolfgang Banzhaf:
LLM Fault Localisation within Evolutionary Computation Based Automated Program Repair. GECCO Companion 2024: 1824-1829 - [c155]Vinícius Veloso de Melo, Wolfgang Banzhaf, Giovanni Iacca:
Accelerating GP Genome Evaluation Through Real Compilation with a Multiple Program Single Data Approach. GECCO Companion 2024: 2041-2049 - [c154]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. GECCO 2024 - [c153]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization. PPSN (1) 2024: 201-220 - [c152]Yuri Lavinas, Nathan Haut, William Punch, Wolfgang Banzhaf, Sylvain Cussat-Blanc:
Adaptive Sampling of Biomedical Images with Cartesian Genetic Programming. PPSN (1) 2024: 256-272 - [c151]Christopher Crary, Bogdan Burlacu, Wolfgang Banzhaf:
Enhancing the Computational Efficiency of Genetic Programming Through Alternative Floating-Point Primitives. PPSN (1) 2024: 322-339 - [i31]Wolfgang Banzhaf, Illya Bakurov:
On The Nature Of The Phenotype In Tree Genetic Programming. CoRR abs/2402.08011 (2024) - [i30]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression. CoRR abs/2405.06869 (2024) - [i29]Illya Bakurov, Nathan Haut, Wolfgang Banzhaf:
Sharpness-Aware Minimization in Genetic Programming. CoRR abs/2405.10267 (2024) - [i28]Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang, Wolfgang Banzhaf:
Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations. CoRR abs/2405.14268 (2024) - 2023
- [j77]Yuan Yuan, Wolfgang Banzhaf:
Iterative genetic improvement: Scaling stochastic program synthesis. Artif. Intell. 322: 103962 (2023) - [j76]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]. IEEE Comput. Intell. Mag. 18(4): 62-63 (2023) - [c150]Ting Hu, Gabriela Ochoa, Wolfgang Banzhaf:
Phenotype Search Trajectory Networks for Linear Genetic Programming. EuroGP 2023: 52-67 - [c149]Hengzhe Zhang, Qi Chen, Alberto Tonda, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. EuroGP 2023: 84-100 - [c148]Iliya Miralavy, Wolfgang Banzhaf:
Spatial Genetic Programming. EuroGP 2023: 260-275 - [c147]Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. GECCO 2023: 420-428 - [c146]Ritam Guha, Wei Ao, Stephen Kelly, Vishnu Boddeti, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb:
MOAZ: A Multi-Objective AutoML-Zero Framework. GECCO 2023: 485-492 - [c145]Nathan Haut, Bill Punch, Wolfgang Banzhaf:
Active Learning Informs Symbolic Regression Model Development in Genetic Programming. GECCO Companion 2023: 587-590 - [c144]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. GECCO 2023: 1194-1202 - [c143]Nathan Haut, Wolfgang Banzhaf, Bill Punch, Dirk Colbry:
Accelerating Image Analysis Research with Active Learning Techniques in Genetic Programming. GPTP 2023: 45-64 - [c142]Wolfgang Banzhaf, Ting Hu, Gabriela Ochoa:
How the Combinatorics of Neutral Spaces Leads Genetic Programming to Discover Simple Solutions. GPTP 2023: 65-86 - [c141]Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real:
Discovering Adaptable Symbolic Algorithms from Scratch. IROS 2023: 3889-3896 - [c140]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction. PRICAI (2) 2023: 385-397 - [e13]Leonardo Trujillo, Stephan M. Winkler, Sara Silva, Wolfgang Banzhaf:
Genetic Programming Theory and Practice XIX [GPTP 2022]. Springer 2023, ISBN 978-981-19-8459-4 [contents] - [i27]Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real:
Discovering Adaptable Symbolic Algorithms from Scratch. CoRR abs/2307.16890 (2023) - [i26]Nathan Haut, Wolfgang Banzhaf, Bill Punch:
Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression. CoRR abs/2308.00672 (2023) - 2022
- [j75]Gustavo Recio, Wolfgang Banzhaf, Roger White:
From Dynamics to Novelty: An Agent-Based Model of the Economic System. Artif. Life 28(1): 58-95 (2022) - [j74]William B. Langdon, Wolfgang Banzhaf:
Long-Term Evolution Experiment with Genetic Programming. Artif. Life 28(2): 173-204 (2022) - [j73]Akbar Telikani, Amirhessam Tahmassebi, Wolfgang Banzhaf, Amir H. Gandomi:
Evolutionary Machine Learning: A Survey. ACM Comput. Surv. 54(8): 161:1-161:35 (2022) - [j72]Yuan Yuan, Wolfgang Banzhaf:
Expensive Multiobjective Evolutionary Optimization Assisted by Dominance Prediction. IEEE Trans. Evol. Comput. 26(1): 159-173 (2022) - [c139]William B. Langdon, Wolfgang Banzhaf:
Long-term evolution experiment with genetic programming [hot of the press]. GECCO Companion 2022: 29-30 - [c138]Nathan Haut, Wolfgang Banzhaf, Bill Punch:
Active learning improves performance on symbolic regression tasks in StackGP. GECCO Companion 2022: 550-553 - [c137]Hannah Peeler, Shuyue Stella Li, Andrew N. Sloss, Kenneth N. Reid, Yuan Yuan, Wolfgang Banzhaf:
Optimizing LLVM pass sequences with shackleton: a linear genetic programming framework. GECCO Companion 2022: 578-581 - [c136]Shuyue Stella Li, Hannah Peeler, Andrew N. Sloss, Kenneth N. Reid, Wolfgang Banzhaf:
Genetic improvement in the shackleton framework for optimizing LLVM pass sequences. GECCO Companion 2022: 1938-1939 - [c135]Nathan Haut, Wolfgang Banzhaf, Bill Punch:
Correlation Versus RMSE Loss Functions in Symbolic Regression Tasks. GPTP 2022: 31-55 - [e12]Wolfgang Banzhaf, Leonardo Trujillo, Stephan Winkler, Bill Worzel:
Genetic Programming Theory and Practice XVIII [GPTP 2021]. Springer 2022, ISBN 978-981-16-8112-7 [contents] - [i25]Hannah Peeler, Shuyue Stella Li, Andrew N. Sloss, Kenneth N. Reid, Yuan Yuan, Wolfgang Banzhaf:
Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework. CoRR abs/2201.13305 (2022) - [i24]Iliya Miralavy, Alexander Bricco, Assaf A. Gilad, Wolfgang Banzhaf:
Using Genetic Programming to Predict and Optimize Protein Function. CoRR abs/2202.04039 (2022) - [i23]Nathan Haut, Wolfgang Banzhaf, Bill Punch:
Active Learning Improves Performance on Symbolic RegressionTasks in StackGP. CoRR abs/2202.04708 (2022) - [i22]Yuan Yuan, Wolfgang Banzhaf:
Iterative Genetic Improvement: Scaling Stochastic Program Synthesis. CoRR abs/2202.13040 (2022) - [i21]Shuyue Stella Li, Hannah Peeler, Andrew N. Sloss, Kenneth N. Reid, Wolfgang Banzhaf:
Genetic Improvement in the Shackleton Framework for Optimizing LLVM Pass Sequences. CoRR abs/2204.13261 (2022) - [i20]Nathan Haut, Wolfgang Banzhaf, Bill Punch:
Correlation versus RMSE Loss Functions in Symbolic Regression Tasks. CoRR abs/2205.15990 (2022) - [i19]Iliya Miralavy, Wolfgang Banzhaf:
An Artificial Chemistry Implementation of a Gene Regulatory Network. CoRR abs/2209.04114 (2022) - [i18]Ting Hu, Gabriela Ochoa, Wolfgang Banzhaf:
Phenotype Search Trajectory Networks for Linear Genetic Programming. CoRR abs/2211.08516 (2022) - 2021
- [j71]Stephen Kelly, Tatiana Voegerl, Wolfgang Banzhaf, Cedric Gondro:
Evolving hierarchical memory-prediction machines in multi-task reinforcement learning. Genet. Program. Evolvable Mach. 22(4): 573-605 (2021) - [j70]Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Neural Architecture Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2971-2989 (2021) - [j69]Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification. IEEE Trans. Evol. Comput. 25(2): 277-291 (2021) - [j68]Stephen Kelly, Robert J. Smith, Malcolm I. Heywood, Wolfgang Banzhaf:
Emergent Tangled Program Graphs in Partially Observable Recursive Forecasting and ViZDoom Navigation Tasks. ACM Trans. Evol. Learn. Optim. 1(3): 11:1-11:41 (2021) - [c134]Kenneth N. Reid, Iliya Miralavy, Stephen Kelly, Wolfgang Banzhaf, Cedric Gondro:
The factory must grow: automation in Factorio. GECCO Companion 2021: 243-244 - [i17]Kenneth N. Reid, Iliya Miralavy, Stephen Kelly, Wolfgang Banzhaf, Cedric Gondro:
The Factory Must Grow: Automation in Factorio. CoRR abs/2102.04871 (2021) - [i16]Stephen Kelly, Tatiana Voegerl, Wolfgang Banzhaf, Cedric Gondro:
Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning. CoRR abs/2106.12659 (2021) - 2020
- [j67]Francisco Fernández de Vega, Gustavo Olague, Daniel Lanza, Francisco Chávez de la O, Wolfgang Banzhaf, Erik D. Goodman, Jose Menendez-Clavijo, Axel Martinez:
Time and Individual Duration in Genetic Programming. IEEE Access 8: 38692-38713 (2020) - [j66]Ting Hu, Marco Tomassini, Wolfgang Banzhaf:
A network perspective on genotype-phenotype mapping in genetic programming. Genet. Program. Evolvable Mach. 21(3): 375-397 (2020) - [j65]Yuan Yuan, Wolfgang Banzhaf:
Toward Better Evolutionary Program Repair: An Integrated Approach. ACM Trans. Softw. Eng. Methodol. 29(1): 5:1-5:53 (2020) - [j64]Yuan Yuan, Wolfgang Banzhaf:
ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming. IEEE Trans. Software Eng. 46(10): 1040-1067 (2020) - [c133]Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search. ECCV (1) 2020: 35-51 - [c132]Stephen Kelly, Jacob Newsted, Wolfgang Banzhaf, Cedric Gondro:
A modular memory framework for time series prediction. GECCO 2020: 949-957 - [c131]Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract). IJCAI 2020: 4750-4754 - [c130]Gustavo Recio, Wolfgang Banzhaf, Roger White:
A Study of Severe Disruption in an Artificial Economy. ALIFE 2020: 180-187 - [e11]Wolfgang Banzhaf, Erik D. Goodman, Leigh Sheneman, Leonardo Trujillo, Bill Worzel:
Genetic Programming Theory and Practice XVII [GPTP 2019, Michigan State University, East Lansing, Michigan, USA, May 16-19, 2019]. Springer 2020, ISBN 978-3-030-39957-3 [contents] - [i15]Francisco Fernández de Vega, Gustavo Olague, Francisco Chávez de la O, Daniel Lanza, Wolfgang Banzhaf, Erik D. Goodman:
It is Time for New Perspectives on How to Fight Bloat in GP. CoRR abs/2005.00603 (2020) - [i14]Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Neural Architecture Transfer. CoRR abs/2005.05859 (2020) - [i13]Wolfgang Banzhaf:
The Effects of Taxes on Wealth Inequality in Artificial Chemistry Models of Economic Activity. CoRR abs/2007.02934 (2020) - [i12]Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search. CoRR abs/2007.10396 (2020)
2010 – 2019
- 2019
- [c129]Ting Hu, Marco Tomassini, Wolfgang Banzhaf:
Complex Network Analysis of a Genetic Programming Phenotype Network. EuroGP 2019: 49-63 - [c128]Hamed Bolandi, Wolfgang Banzhaf, Nizar Lajnef, Kaveh Barri, Amir Hossein Alavi:
Bond strength prediction of FRP-bar reinforced concrete: a multi-gene genetic programming approach. GECCO (Companion) 2019: 364 - [c127]Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf:
NSGA-Net: neural architecture search using multi-objective genetic algorithm. GECCO 2019: 419-427 - [c126]Vinícius Veloso de Melo, Danilo Vasconcellos Vargas, Wolfgang Banzhaf:
Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament. GECCO 2019: 994-1002 - [c125]Yuan Yuan, Wolfgang Banzhaf:
A hybrid evolutionary system for automatic software repair. GECCO 2019: 1417-1425 - [c124]Francisco Fernández de Vega, Gustavo Olague, Francisco Chávez de la O, Daniel Lanza, Wolfgang Banzhaf, Erik D. Goodman:
It Is Time for New Perspectives on How to Fight Bloat in GP. GPTP 2019: 25-38 - [c123]Stephen Kelly, Wolfgang Banzhaf:
Temporal Memory Sharing in Visual Reinforcement Learning. GPTP 2019: 101-119 - [c122]David Robert White, Benjamin Fowler, Wolfgang Banzhaf, Earl T. Barr:
Modelling Genetic Programming as a Simple Sampling Algorithm. GPTP 2019: 367-381 - [c121]Yuan Yuan, Wolfgang Banzhaf:
An Evolutionary System for Better Automatic Software Repair. GPTP 2019: 383-406 - [c120]William B. Langdon, Wolfgang Banzhaf:
Continuous Long-Term Evolution of Genetic Programming. ALIFE 2019: 388-395 - [e10]Wolfgang Banzhaf, Lee Spector, Leigh Sheneman:
Genetic Programming Theory and Practice XVI, [GPTP 2018, University of Michigan, Ann Arbor, USA, May 17-20, 2018]. Genetic and Evolutionary Computation, Springer 2019, ISBN 978-3-030-04734-4 [contents] - [i11]Roger White, Wolfgang Banzhaf:
Putting Natural Time into Science. CoRR abs/1901.07357 (2019) - [i10]William B. Langdon, Wolfgang Banzhaf:
Faster Genetic Programming GPquick via multicore and Advanced Vector Extensions. CoRR abs/1902.09215 (2019) - [i9]Vinícius Veloso de Melo, Danilo Vasconcellos Vargas, Wolfgang Banzhaf:
Batch Tournament Selection for Genetic Programming. CoRR abs/1904.08658 (2019) - [i8]Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti:
Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks. CoRR abs/1912.01369 (2019) - 2018
- [j63]Sylvain Cussat-Blanc, Kyle Ira Harrington, Wolfgang Banzhaf:
Artificial Gene Regulatory Networks - A Review. Artif. Life 24(4) (2018) - [j62]Vinícius Veloso de Melo, Wolfgang Banzhaf:
Automatic feature engineering for regression models with machine learning: An evolutionary computation and statistics hybrid. Inf. Sci. 430: 287-313 (2018) - [j61]Vinícius Veloso de Melo, Wolfgang Banzhaf:
Drone Squadron Optimization: a novel self-adaptive algorithm for global numerical optimization. Neural Comput. Appl. 30(10): 3117-3144 (2018) - [c119]Matthew Andres Moreno, Wolfgang Banzhaf, Charles Ofria:
Learning an evolvable genotype-phenotype mapping. GECCO 2018: 983-990 - [c118]Honglin Bao, Qiqige Wuyun, Wolfgang Banzhaf:
Evolution of Cooperation through Genetic Collective Learning and Imitation in Multiagent Societies. ALIFE 2018: 436-443 - [e9]Wolfgang Banzhaf, Randal S. Olson, William A. Tozier, Rick L. Riolo:
Genetic Programming Theory and Practice XV, [GPTP 2017, University of Michigan, Ann Arbor, USA, May 18-20, 2017]. Genetic and Evolutionary Computation, Springer 2018, ISBN 978-3-319-90511-2 [contents] - [i7]Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf:
NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search. CoRR abs/1810.03522 (2018) - [i6]Emily L. Dolson, Wolfgang Banzhaf, Charles Ofria:
Ecological theory provides insights about evolutionary computation. PeerJ Prepr. 6: e27315 (2018) - 2017
- [j60]Vinícius Veloso de Melo, Wolfgang Banzhaf:
Improving the prediction of material properties of concrete using Kaizen Programming with Simulated Annealing. Neurocomputing 246: 25-44 (2017) - [c117]Sylvain Cussat-Blanc, Wolfgang Banzhaf:
Introduction to gene regulatory networks. GECCO (Companion) 2017: 359-372 - [c116]Amir Tavafi, Wolfgang Banzhaf:
A hybrid genetic programming decision making system for RoboCup soccer simulation. GECCO 2017: 1025-1032 - [c115]Emily L. Dolson, Wolfgang Banzhaf, Charles Ofria:
Applying Ecological Principles to Genetic Programming. GPTP 2017: 73-88 - [c114]Esteban Ricalde, Wolfgang Banzhaf:
Evolving Adaptive Traffic Signal Controllers for a Real Scenario Using Genetic Programming with an Epigenetic Mechanism. ICMLA 2017: 897-902 - [i5]Vinícius Veloso de Melo, Wolfgang Banzhaf:
Drone Squadron Optimization: a Self-adaptive Algorithm for Global Numerical Optimization. CoRR abs/1703.04561 (2017) - [i4]Yuan Yuan, Wolfgang Banzhaf:
ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming. CoRR abs/1712.07804 (2017) - 2016
- [j59]Tim Taylor, Mark A. Bedau, Alastair Channon, David H. Ackley, Wolfgang Banzhaf, Guillaume Beslon, Emily L. Dolson, Tom Froese, Simon J. Hickinbotham, Takashi Ikegami, Barry McMullin, Norman H. Packard, Steen Rasmussen, Nathaniel Virgo, Eran Agmon, Edward Clark, Simon McGregor, Charles Ofria, Glen E. P. Ropella, Lee Spector, Kenneth O. Stanley, Adam Stanton, Christopher Steven Timperley, Anya E. Vostinar, Michael J. Wiser:
Open-Ended Evolution: Perspectives from the OEE Workshop in York. Artif. Life 22(3): 408-423 (2016) - [j58]Wolfgang Banzhaf, Bert Baumgaertner, Guillaume Beslon, René Doursat, James A. Foster, Barry McMullin, Vinícius Veloso de Melo, Thomas Miconi, Lee Spector, Susan Stepney, Roger White:
Defining and simulating open-ended novelty: requirements, guidelines, and challenges. Theory Biosci. 135(3): 131-161 (2016) - [j57]Javad Rahimipour Anaraki, Saeed Samet, Wolfgang Banzhaf, Mahdi Eftekhari:
A New Fuzzy-Rough Hybrid Merit to Feature Selection. Trans. Rough Sets 20: 1-23 (2016) - [c113]Esteban Ricalde, Wolfgang Banzhaf:
A Genetic Programming Approach for the Traffic Signal Control Problem with Epigenetic Modifications. EuroGP 2016: 133-148 - [c112]Benjamin Fowler, Wolfgang Banzhaf:
Modelling Evolvability in Genetic Programming. EuroGP 2016: 215-229 - [c111]Vinícius Veloso de Melo, Wolfgang Banzhaf:
Improving Logistic Regression Classification of Credit Approval with Features Constructed by Kaizen Programming. GECCO (Companion) 2016: 61-62 - [c110]Ting Hu, Wolfgang Banzhaf:
Quantitative Analysis of Evolvability using Vertex Centralities in Phenotype Network. GECCO 2016: 733-740 - [c109]Yunhai Wang, Yiming Qian, Yang Li, Minglun Gong, Wolfgang Banzhaf:
Artificial Multi-Bee-Colony Algorithm for k-Nearest-Neighbor Fields Search. GECCO 2016: 1037-1044 - [c108]Ting Hu, Wolfgang Banzhaf:
Neutrality, Robustness, and Evolvability in Genetic Programming. GPTP 2016: 101-117 - 2015
- [c107]Vinícius Veloso de Melo, Benjamin Fowler, Wolfgang Banzhaf:
Evaluating Methods for Constant Optimization of Symbolic Regression Benchmark Problems. BRACIS 2015: 25-30 - [c106]Vinícius Veloso de Melo, Wolfgang Banzhaf:
Predicting High-Performance Concrete Compressive Strength Using Features Constructed by Kaizen Programming. BRACIS 2015: 80-85 - [c105]Scott Watson, Andrew Vardy, Wolfgang Banzhaf, Todd Wareham:
Machiavellian agents: Player modelling to deceive and be deceived. CGAMES 2015: 10-17 - [c104]Sylvain Cussat-Blanc, Wolfgang Banzhaf:
Introduction to Gene Regulatory Networks. GECCO (Companion) 2015: 589-601 - [c103]Vinícius Veloso de Melo, Wolfgang Banzhaf:
Kaizen Programming for Feature Construction for Classification. GPTP 2015: 39-57 - 2014
- [j56]Ting Hu, Wolfgang Banzhaf, Jason H. Moore:
The Effects of Recombination on Phenotypic Exploration and Robustness in Evolution. Artif. Life 20(4): 457-470 (2014) - [j55]Wolfgang Banzhaf:
Genetic Programming and Emergence. Genet. Program. Evolvable Mach. 15(1): 63-73 (2014) - [j54]Wolfgang Banzhaf:
Response to comments on "Genetic Programming and Emergence". Genet. Program. Evolvable Mach. 15(1): 103-108 (2014) - [j53]Andrew Vardy, Gregory Vorobyev, Wolfgang Banzhaf:
Cache consensus: rapid object sorting by a robotic swarm. Swarm Intell. 8(1): 61-87 (2014) - [c102]Scott Watson, Wolfgang Banzhaf, Andrew Vardy:
Automated design for playability in computer game agents. CIG 2014: 1-8 - [c101]Ting Hu, Wolfgang Banzhaf, Jason H. Moore:
Population Exploration on Genotype Networks in Genetic Programming. PPSN 2014: 424-433 - [i3]Wolfgang Banzhaf, Christoph Flamm, Daniel Merkle, Peter F. Stadler:
Algorithmic Cheminformatics (Dagstuhl Seminar 14452). Dagstuhl Reports 4(11): 22-39 (2014) - 2013
- [c100]Gregory Vorobyev, Andrew Vardy, Wolfgang Banzhaf:
Conformity and Nonconformity in Collective Robotics: A Case Study. ECAL 2013: 981-988 - [c99]Ting Hu, Wolfgang Banzhaf, Jason H. Moore:
Robustness and Evolvability of Recombination in Linear Genetic Programming. EuroGP 2013: 97-108 - [c98]Taras Kowaliw, Wolfgang Banzhaf, René Doursat:
Networks of transform-based evolvable features for object recognition. GECCO 2013: 1077-1084 - [p8]Lidia Yamamoto, Pierre Collet, Wolfgang Banzhaf:
Artificial Chemistries on GPU. Massively Parallel Evolutionary Computation on GPGPUs 2013: 389-419 - 2012
- [j52]Ting Hu, Joshua L. Payne, Wolfgang Banzhaf, Jason H. Moore:
Evolutionary dynamics on multiple scales: a quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming. Genet. Program. Evolvable Mach. 13(3): 305-337 (2012) - [c97]Garnett Carl Wilson, Simon Harding, Orland Hoeber, Rodolphe Devillers, Wolfgang Banzhaf:
Parallel exhaustive search vs. evolutionary computation in a large real world network search space. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c96]Garnett Carl Wilson, Derek Leblanc, Wolfgang Banzhaf:
Using sector information with linear genetic programming for intraday equity price trend analysis. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c95]Gregory Vorobyev, Andrew Vardy, Wolfgang Banzhaf:
Supervised Learning in Robotic Swarms: From Training Samples to Emergent Behavior. DARS 2012: 435-448 - [c94]Scott Watson, Andrew Vardy, Wolfgang Banzhaf:
Achieving desirable gameplay objectives by niched evolution of game parameters. IGIC 2012: 1-5 - [c93]Taras Kowaliw, Wolfgang Banzhaf:
The unconstrained automated generation of cell image features for medical diagnosis. GECCO 2012: 1103-1110 - [p7]Taras Kowaliw, Wolfgang Banzhaf:
Mechanisms for Complex Systems Engineering Through Artificial Development. Morphogenetic Engineering, Toward Programmable Complex Systems 2012: 331-351 - [p6]Wolfgang Banzhaf, Barry McMullin:
Artificial Life. Handbook of Natural Computing 2012: 1805-1834 - [p5]Simon Harding, Wolfgang Banzhaf:
Optimizing Shape Design with Distributed Parallel Genetic Programming on GPUs. Parallel Architectures and Bioinspired Algorithms 2012: 51-75 - 2011
- [j51]Lidia Yamamoto, Daniele Miorandi, Pierre Collet, Wolfgang Banzhaf:
Recovery properties of distributed cluster head election using reaction-diffusion. Swarm Intell. 5(3-4): 225-255 (2011) - [c92]Shelly Xiaonan Wu, Wolfgang Banzhaf:
Evolutionary transition through a new multilevel selection model. ECAL 2011: 874-881 - [c91]Lidia Yamamoto, Wolfgang Banzhaf, Pierre Collet:
Evolving Reaction-Diffusion Systems on GPU. EPIA 2011: 208-223 - [c90]Ting Hu, Joshua L. Payne, Wolfgang Banzhaf, Jason H. Moore:
Robustness, Evolvability, and Accessibility in Linear Genetic Programming. EuroGP 2011: 13-24 - [c89]Simon Harding, Julian F. Miller, Wolfgang Banzhaf:
SMCGP2: finding algorithms that approximate numerical constants using quaternions and complex numbers. GECCO (Companion) 2011: 197-198 - [c88]Simon Harding, Wolfgang Banzhaf:
Implementing cartesian genetic programming classifiers on graphics processing units using GPU.NET. GECCO (Companion) 2011: 463-470 - [c87]Shelly Xiaonan Wu, Wolfgang Banzhaf:
Rethinking multilevel selection in genetic programming. GECCO 2011: 1403-1410 - [c86]Simon Harding, Julian F. Miller, Wolfgang Banzhaf:
SMCGP2: self modifying cartesian genetic programming in two dimensions. GECCO 2011: 1491-1498 - [c85]Garnett Carl Wilson, Simon Harding, Orland Hoeber, Rodolphe Devillers, Wolfgang Banzhaf:
Large network analysis for fisheries management using coevolutionary genetic algorithms. GECCO 2011: 1619-1626 - [c84]Garnett Carl Wilson, Derek Leblanc, Wolfgang Banzhaf:
Stock trading using linear genetic programming with multiple time frames. GECCO 2011: 1667-1674 - [p4]Simon L. Harding, Julian F. Miller, Wolfgang Banzhaf:
Self-Modifying Cartesian Genetic Programming. Cartesian Genetic Programming 2011: 101-124 - [p3]Lukás Sekanina, Simon L. Harding, Wolfgang Banzhaf, Taras Kowaliw:
Image Processing and CGP. Cartesian Genetic Programming 2011: 181-215 - [p2]Simon L. Harding, Wolfgang Banzhaf:
Hardware Acceleration for CGP: Graphics Processing Units. Cartesian Genetic Programming 2011: 231-253 - 2010
- [j50]Shelly Xiaonan Wu, Wolfgang Banzhaf:
The use of computational intelligence in intrusion detection systems: A review. Appl. Soft Comput. 10(1): 1-35 (2010) - [j49]Nelishia Pillay, Wolfgang Banzhaf:
An informed genetic algorithm for the examination timetabling problem. Appl. Soft Comput. 10(2): 457-467 (2010) - [j48]Garnett Carl Wilson, Wolfgang Banzhaf:
Deployment of parallel linear genetic programming using GPUs on PC and video game console platforms. Genet. Program. Evolvable Mach. 11(2): 147-184 (2010) - [j47]Ting Hu, Simon Harding, Wolfgang Banzhaf:
Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm. Genet. Program. Evolvable Mach. 11(2): 205-225 (2010) - [j46]Michael O'Neill, Leonardo Vanneschi, Steven M. Gustafson, Wolfgang Banzhaf:
Open issues in genetic programming. Genet. Program. Evolvable Mach. 11(3-4): 339-363 (2010) - [j45]Simon Harding, Julian F. Miller, Wolfgang Banzhaf:
Developments in Cartesian Genetic Programming: self-modifying CGP. Genet. Program. Evolvable Mach. 11(3-4): 397-439 (2010) - [c83]Lidia Yamamoto, Wolfgang Banzhaf:
Catalytic Search in Dynamic Environments. ALIFE 2010: 277-284 - [c82]Garnett Carl Wilson, Wolfgang Banzhaf:
Fast and effective predictability filters for stock price series using linear genetic programming. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c81]Miguel Nicolau, Marc Schoenauer, Wolfgang Banzhaf:
Evolving Genes to Balance a Pole. EuroGP 2010: 196-207 - [c80]Ting Hu, Yuanzhu Peter Chen, Wolfgang Banzhaf:
WiMAX Network Planning Using Adaptive-Population-Size Genetic Algorithm. EvoApplications (2) 2010: 31-40 - [c79]Shelly Xiaonan Wu, Wolfgang Banzhaf:
A hierarchical cooperative evolutionary algorithm. GECCO 2010: 233-240 - [c78]Simon Harding, Julian F. Miller, Wolfgang Banzhaf:
Self modifying cartesian genetic programming: finding algorithms that calculate pi and e to arbitrary precision. GECCO 2010: 579-586 - [c77]Garnett Carl Wilson, Wolfgang Banzhaf:
Interday foreign exchange trading using linear genetic programming. GECCO 2010: 1139-1146 - [c76]Garnett Carl Wilson, Simon Harding, Orland Hoeber, Rodolphe Devillers, Wolfgang Banzhaf:
Detecting anomalies in spatiotemporal data using genetic algorithms with fuzzy community membership. ISDA 2010: 97-102 - [i2]Miguel Nicolau, Marc Schoenauer, Wolfgang Banzhaf:
Evolving Genes to Balance a Pole. CoRR abs/1005.2815 (2010)
2000 – 2009
- 2009
- [j44]Nelishia Pillay, Wolfgang Banzhaf:
A study of heuristic combinations for hyper-heuristic systems for the uncapacitated examination timetabling problem. Eur. J. Oper. Res. 197(2): 482-491 (2009) - [c75]Simon Harding, Julian Francis Miller, Wolfgang Banzhaf:
Self modifying Cartesian Genetic Programming: Parity. IEEE Congress on Evolutionary Computation 2009: 285-292 - [c74]Taras Kowaliw, Wolfgang Banzhaf:
Augmenting artificial development with local fitness. IEEE Congress on Evolutionary Computation 2009: 316-323 - [c73]Taras Kowaliw, Wolfgang Banzhaf, Nawwaf Kharma, Simon Harding:
Evolving novel image features using Genetic Programming-based image transforms. IEEE Congress on Evolutionary Computation 2009: 2502-2507 - [c72]Garnett Carl Wilson, Wolfgang Banzhaf:
Discovery of email communication networks from the Enron corpus with a genetic algorithm using social network analysis. IEEE Congress on Evolutionary Computation 2009: 3256-3263 - [c71]Shelly Xiaonan Wu, Wolfgang Banzhaf:
Investigations of Wilson's and Traulsen's Group Selection Models in Evolutionary Computation. ECAL (2) 2009: 1-9 - [c70]Thomas Meyer, Lidia Yamamoto, Wolfgang Banzhaf, Christian F. Tschudin:
Elongation Control in an Algorithmic Chemistry. ECAL (1) 2009: 273-280 - [c69]Ting Hu, Wolfgang Banzhaf:
The Role of Population Size in Rate of Evolution in Genetic Programming. EuroGP 2009: 85-96 - [c68]Simon Harding, Julian Francis Miller, Wolfgang Banzhaf:
Self Modifying Cartesian Genetic Programming: Fibonacci, Squares, Regression and Summing. EuroGP 2009: 133-144 - [c67]Garnett Carl Wilson, Wolfgang Banzhaf:
Prediction of Interday Stock Prices Using Developmental and Linear Genetic Programming. EvoWorkshops 2009: 172-181 - [c66]Simon Harding, Julian Francis Miller, Wolfgang Banzhaf:
Evolution, development and learning using self-modifying cartesian genetic programming. GECCO 2009: 699-706 - [c65]Ting Hu, Wolfgang Banzhaf:
Neutrality and variability: two sides of evolvability in linear genetic programming. GECCO 2009: 963-970 - [c64]Garnett Carl Wilson, Wolfgang Banzhaf:
Soft memory for stock market analysis using linear and developmental genetic programming. GECCO 2009: 1633-1640 - [c63]Ting Hu, Yuanzhu Peter Chen, Wolfgang Banzhaf, Robert Benkoczi:
An evolutionary approach to planning IEEE 802.16 networks. GECCO 2009: 1929-1930 - [c62]Garnett Carl Wilson, Wolfgang Banzhaf:
Deployment of CPU and GPU-based genetic programming on heterogeneous devices. GECCO (Companion) 2009: 2531-2538 - [c61]Wolfgang Banzhaf, Simon Harding:
Accelerating evolutionary computation with graphics processing units. GECCO (Companion) 2009: 3237-3286 - [r1]Wolfgang Banzhaf:
Self-organizing Systems. Encyclopedia of Complexity and Systems Science 2009: 8040-8050 - 2008
- [j43]Ralf Stadelhofer, Wolfgang Banzhaf, Dieter Suter:
Evolving blackbox quantum algorithms using genetic programming. Artif. Intell. Eng. Des. Anal. Manuf. 22(3): 285-297 (2008) - [j42]Wolfgang Banzhaf:
Editorial introduction. Genet. Program. Evolvable Mach. 9(1): 1-2 (2008) - [j41]William B. Langdon, Riccardo Poli, Wolfgang Banzhaf:
An Eigen analysis of the GP community. Genet. Program. Evolvable Mach. 9(3): 171-182 (2008) - [j40]Simon Harding, Wolfgang Banzhaf:
Genetic programming on GPUs for image processing. Int. J. High Perform. Syst. Archit. 1(4): 231-240 (2008) - [j39]William B. Langdon, Wolfgang Banzhaf:
Repeated patterns in genetic programming. Nat. Comput. 7(4): 589-613 (2008) - [c60]Bas Straatman, Roger White, Wolfgang Banzhaf:
An Artificial Chemistry-based Model of Economies. ALIFE 2008: 592-599 - [c59]Garnett Carl Wilson, Wolfgang Banzhaf:
Linear genetic programming GPGPU on Microsoft's Xbox 360. IEEE Congress on Evolutionary Computation 2008: 378-385 - [c58]William B. Langdon, Wolfgang Banzhaf:
A SIMD Interpreter for Genetic Programming on GPU Graphics Cards. EuroGP 2008: 73-85 - [c57]Garnett Carl Wilson, Wolfgang Banzhaf:
A Comparison of Cartesian Genetic Programming and Linear Genetic Programming. EuroGP 2008: 182-193 - [c56]Ting Hu, Wolfgang Banzhaf:
Measuring rate of evolution in genetic programming using amino acid to synonymous substitution ratio ka/ks. GECCO 2008: 1337-1338 - [c55]Shelly Xiaonan Wu, Wolfgang Banzhaf:
Combatting financial fraud: a coevolutionary anomaly detection approach. GECCO 2008: 1673-1680 - [c54]Nelishia Pillay, Wolfgang Banzhaf:
A Developmental Approach to the Uncapacitated Examination Timetabling Problem. PPSN 2008: 276-285 - [c53]Ting Hu, Wolfgang Banzhaf:
Nonsynonymous to Synonymous Substitution Ratio ka/ks: Measurement for Rate of Evolution in Evolutionary Computation. PPSN 2008: 448-457 - [p1]Simon Harding, Wolfgang Banzhaf:
Artificial Development. Organic Computing 2008: 201-219 - 2007
- [j38]André Leier, P. Dwight Kuo, Wolfgang Banzhaf:
Analysis of Preferential Network Motif Generation in an Artificial Regulatory Network Model Created by Duplication and Divergence. Adv. Complex Syst. 10(2): 155-172 (2007) - [j37]Wolfgang Banzhaf, Nelishia Pillay:
Why complex systems engineering needs biological development. Complex. 13(2): 12-21 (2007) - [j36]Jens Niehaus, Christian Igel, Wolfgang Banzhaf:
Reducing the Number of Fitness Evaluations in Graph Genetic Programming Using a Canonical Graph Indexed Database. Evol. Comput. 15(2): 199-221 (2007) - [j35]Wolfgang Banzhaf:
Editorial introduction. Genet. Program. Evolvable Mach. 8(1): 1-2 (2007) - [j34]Wolfgang Banzhaf:
Acknowledgment. Genet. Program. Evolvable Mach. 8(1): 3-4 (2007) - [c52]Nelishia Pillay, Wolfgang Banzhaf:
A Genetic Programming Approach to the Generation of Hyper-Heuristics for the Uncapacitated Examination Timetabling Problem. EPIA Workshops 2007: 223-234 - [c51]Simon Harding, Wolfgang Banzhaf:
Fast Genetic Programming on GPUs. EuroGP 2007: 90-101 - [c50]Simon Harding, Julian Francis Miller, Wolfgang Banzhaf:
Self-modifying cartesian genetic programming. GECCO 2007: 1021-1028 - [c49]Simon Harding, Wolfgang Banzhaf:
Fast Genetic Programming and Artificial Developmental Systems on GPUs. HPCS 2007: 2 - 2006
- [j33]Wolfgang Banzhaf:
Introduction. Genet. Program. Evolvable Mach. 7(1): 5-6 (2006) - [j32]Wolfgang Banzhaf:
Acknowledgment. Genet. Program. Evolvable Mach. 7(1): 7 (2006) - [j31]Jon Timmis, Martyn Amos, Wolfgang Banzhaf, Andy M. Tyrrell:
"Going Back to our Roots": Second Generation Biocomputing. Int. J. Unconv. Comput. 2(4): 349-378 (2006) - [c48]André Leier, P. Dwight Kuo, Wolfgang Banzhaf, Kevin Burrage:
Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks. EuroGP 2006: 290-299 - 2005
- [j30]William B. Langdon, Wolfgang Banzhaf:
Repeated Sequences in Linear Genetic Programming Genomes. Complex Syst. 15(4) (2005) - [j29]Wolfgang Banzhaf:
Editorial. Genet. Program. Evolvable Mach. 6(2): 135-136 (2005) - [j28]Wolfgang Banzhaf:
Acknowledgment. Genet. Program. Evolvable Mach. 6(2): 137-138 (2005) - [c47]Christian Lasarczyk, Wolfgang Banzhaf:
An Algorithmic Chemistry for Genetic Programming. EuroGP 2005: 1-12 - [c46]William B. Langdon, Wolfgang Banzhaf:
Repeated Patterns in Tree Genetic Programming. EuroGP 2005: 190-202 - [c45]Christian Lasarczyk, Wolfgang Banzhaf:
Total synthesis of algorithmic chemistries. GECCO 2005: 1635-1640 - [i1]Jon Timmis, Martyn Amos, Wolfgang Banzhaf, Andy M. Tyrrell:
"Going back to our roots": second generation biocomputing. CoRR abs/cs/0512071 (2005) - 2004
- [j27]Christian Lasarczyk, Peter Dittrich, Wolfgang Banzhaf:
Dynamic Subset Selection Based on a Fitness Case Topology. Evol. Comput. 12(2): 223-242 (2004) - [j26]Wolfgang Banzhaf:
Editorial Introduction. Genet. Program. Evolvable Mach. 5(1): 5 (2004) - [j25]Wolfgang Banzhaf:
Acknowledgment. Genet. Program. Evolvable Mach. 5(1): 7 (2004) - [j24]Wolfgang Banzhaf, James A. Foster:
Editorial Introduction. Genet. Program. Evolvable Mach. 5(2): 119-120 (2004) - [c44]André Leier, Wolfgang Banzhaf:
Comparison of Selection Strategies for Evolutionary Quantum Circuit Design. GECCO (2) 2004: 557-568 - [c43]P. Dwight Kuo, André Leier, Wolfgang Banzhaf:
Evolving Dynamics in an Artificial Regulatory Network Model. PPSN 2004: 571-580 - [c42]Wolfgang Banzhaf, Christian Lasarczyk:
A New Programming Paradigm Inspired by Artificial Chemistries. UPP 2004: 73-83 - [e8]Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund K. Burke, Paul J. Darwen, Dipankar Dasgupta, Dario Floreano, James A. Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector, Andrea Tettamanzi, Dirk Thierens, Andrew M. Tyrrell:
Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part I. Lecture Notes in Computer Science 3102, Springer 2004, ISBN 3-540-22344-4 [contents] - [e7]Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund K. Burke, Paul J. Darwen, Dipankar Dasgupta, Dario Floreano, James A. Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector, Andrea Tettamanzi, Dirk Thierens, Andrew M. Tyrrell:
Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part II. Lecture Notes in Computer Science 3103, Springer 2004, ISBN 3-540-22343-6 [contents] - 2003
- [j23]Wolfgang Banzhaf:
Editorial Introduction. Genet. Program. Evolvable Mach. 4(1): 5-6 (2003) - [j22]Udo Feldkamp, Hilmar Rauhe, Wolfgang Banzhaf:
Software Tools for DNA Sequence Design. Genet. Program. Evolvable Mach. 4(2): 153-171 (2003) - [j21]Peter Dittrich, Thomas Kron, Wolfgang Banzhaf:
On the Scalability of Social Order: Modeling the Problem of Double and Multi Contingency Following Luhmann. J. Artif. Soc. Soc. Simul. 6(1) (2003) - [c41]André Leier, Wolfgang Banzhaf:
Exploring the search space of quantum programs. IEEE Congress on Evolutionary Computation 2003: 170-177 - [c40]Wolfgang Banzhaf:
On Evolutionary Design, Embodiment, and Artificial Regulatory Networks. Embodied Artificial Intelligence 2003: 284-292 - [c39]Jens Busch, Wolfgang Banzhaf:
How to Program Artificial Chemistries. ECAL 2003: 20-30 - [c38]Wolfgang Banzhaf:
On the Dynamics of an Artificial Regulatory Network. ECAL 2003: 217-227 - [c37]Jens Niehaus, Wolfgang Banzhaf:
More on Computational Effort Statistics for Genetic Programming. EuroGP 2003: 164-172 - [c36]Jens Ziegler, Wolfgang Banzhaf:
Decreasing the Number of Evaluations in Evolutionary Algorithms by Using a Meta-model of the Fitness Function. EuroGP 2003: 264-275 - [c35]Markus Brameier, Wolfgang Banzhaf:
Neutral Variations Cause Bloat in Linear GP. EuroGP 2003: 286-296 - [c34]André Leier, Wolfgang Banzhaf:
Evolving Hogg's Quantum Algorithm Using Linear-Tree GP. GECCO 2003: 390-400 - [e6]Wolfgang Banzhaf, Thomas Christaller, Peter Dittrich, Jan T. Kim, Jens Ziegler:
Advances in Artificial Life, 7th European Conference, ECAL 2003, Dortmund, Germany, September 14-17, 2003, Proceedings. Lecture Notes in Computer Science 2801, Springer 2003, ISBN 3-540-20057-6 [contents] - 2002
- [j20]Wolfgang Banzhaf, William B. Langdon:
Some Considerations on the Reason for Bloat. Genet. Program. Evolvable Mach. 3(1): 81-91 (2002) - [c33]Markus Brameier, Wolfgang Banzhaf:
Explicit Control of Diversity and Effective Variation Distance in Linear Genetic Programming. EuroGP 2002: 37-49 - [c32]Wolfgang Kantschik, Wolfgang Banzhaf:
Linear-Graph GP - A New GP Structure. EuroGP 2002: 83-92 - [c31]Jens Busch, Jens Ziegler, Christian Aue, Andree Roß, Daniel Sawitzki, Wolfgang Banzhaf:
Automatic Generation of Control Programs for Walking Robots Using Genetic Programming. EuroGP 2002: 258-267 - [c30]Roderich Groß, Keno Albrecht, Wolfgang Kantschik, Wolfgang Banzhaf:
Evolving Chess Playing Programs. GECCO 2002: 740-747 - 2001
- [j19]Jens Ziegler, Wolfgang Banzhaf:
Evolving Control Metabolisms for a Robot. Artif. Life 7(2): 171-190 (2001) - [j18]Peter Dittrich, Jens Ziegler, Wolfgang Banzhaf:
Artificial Chemistries-A Review. Artif. Life 7(3): 225-275 (2001) - [j17]Wolfgang Banzhaf:
Editorial Introduction. Genet. Program. Evolvable Mach. 2(1): 5 (2001) - [j16]Markus Brameier, Wolfgang Banzhaf:
Evolving Teams of Predictors with Linear Genetic Programming. Genet. Program. Evolvable Mach. 2(4): 381-407 (2001) - [j15]Markus Brameier, Wolfgang Banzhaf:
A comparison of linear genetic programming and neural networks in medical data mining. IEEE Trans. Evol. Comput. 5(1): 17-26 (2001) - [c29]Udo Feldkamp, Sam Saghafi, Wolfgang Banzhaf, Hilmar Rauhe:
DNASequencesGenerator: A Program for the Construction of DNA Sequences. DNA 2001: 23-32 - [c28]Peter Dittrich, Wolfgang Banzhaf:
Survival of the Unfittest? - The Seceder Model and Its Fitness Landscape. ECAL 2001: 100-109 - [c27]Pietro Speroni di Fenizio, Wolfgang Banzhaf:
Stability of Metabolic and Balanced Organisations. ECAL 2001: 196-205 - [c26]Pietro Speroni di Fenizio, Peter Dittrich, Wolfgang Banzhaf:
Spontaneous Formation of Proto-cells in an Universal Artificial Chemistry on a Planar Graph. ECAL 2001: 206-215 - [c25]Wolfgang Kantschik, Wolfgang Banzhaf:
Linear-Tree GP and Its Comparison with Other GP Structures. EuroGP 2001: 302-312 - [c24]Jens Niehaus, Wolfgang Banzhaf:
Adaption of Operator Probabilities in Genetic Programming. EuroGP 2001: 325-336 - 2000
- [j14]Wolfgang Banzhaf:
Editorial Introduction. Genet. Program. Evolvable Mach. 1(1/2): 5-6 (2000) - [j13]Wolfgang Banzhaf:
Acknowledgement. Genet. Program. Evolvable Mach. 1(4): 307 (2000) - [j12]Andre Skusa, Wolfgang Banzhaf, Jens Busch, Peter Dittrich, Jens Ziegler:
Künstliche Chemie. Künstliche Intell. 14(1): 12-19 (2000) - [c23]Jens Busch, Wolfgang Banzhaf:
Multi-Agent Systems Inspired by Artificial Chemistries: A Case Study in Automated Theorem Proving. ICMAS 2000: 371-372 - [c22]William B. Langdon, Wolfgang Banzhaf:
Genetic Programming Bloat without Semantics. PPSN 2000: 201-210 - [e5]Riccardo Poli, Wolfgang Banzhaf, William B. Langdon, Julian F. Miller, Peter Nordin, Terence C. Fogarty:
Genetic Programming, European Conference, Edinburgh, Scotland, UK, April 15-16, 2000, Proceedings. Lecture Notes in Computer Science 1802, Springer 2000, ISBN 3-540-67339-3 [contents]
1990 – 1999
- 1999
- [j11]John R. Koza, Wolfgang Banzhaf, Kumar Chellapilla, Kalyanmoy Deb, Marco Dorigo, David B. Fogel, Max H. Garzon, David E. Goldberg, Hitoshi Iba, Rick L. Riolo:
Genetic Programming 1998: Proceedings of the Third Annual Conference. IEEE Trans. Evol. Comput. 3(2): 159-161 (1999) - [c21]Peter Nordin, Frank Hoffmann, Frank D. Francone, Markus Brameier, Wolfgang Banzhaf:
AIM-GP and parallelism. CEC 1999: 1059-1066 - [c20]Wolfgang Kantschik, Peter Dittrich, Markus Brameier, Wolfgang Banzhaf:
Empirical analysis of different levels of meta-evolution. CEC 1999: 2086-2093 - [c19]Wolfgang Kantschik, Peter Dittrich, Markus Brameier, Wolfgang Banzhaf:
Meta-Evolution in Graph GP. EuroGP 1999: 15-28 - [c18]Peter Dittrich, Andre Skusa, Wolfgang Kantschik, Wolfgang Banzhaf:
Dynamical Properties of the Fitness Landscape of a GP Controlled Random Morphology Robot. GECCO 1999: 1002-1008 - [c17]Frank D. Francone, Markus Conrads, Wolfgang Banzhaf, Peter Nordin:
Homologous Crossover in Genetic Programming. GECCO 1999: 1021-1026 - [c16]Markus Brameier, Frank Hoffmann, Peter Nordin, Wolfgang Banzhaf, Frank D. Francone:
Parallel Machine Code Genetic Programming. GECCO 1999: 1228 - [e4]Wolfgang Banzhaf, Colin R. Reeves:
Proceedings of the Fifth Workshop on Foundations of Genetic Algorithms, Amsterdam, The Netherlands, September 24-28, 1998. Morgan Kaufmann 1999, ISBN 1-55860-559-2 [contents] - [e3]Wolfgang Banzhaf, Jason M. Daida, A. E. Eiben, Max H. Garzon, Vasant G. Honavar, Mark J. Jakiela, Robert E. Smith:
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 13-17 July 1999, Orlando, Florida, USA. Morgan Kaufmann 1999, ISBN 1-55860-611-4 [contents] - 1998
- [j10]Peter Dittrich, Wolfgang Banzhaf:
Self-Evolution in a Constructive Binary String System. Artif. Life 4(2): 203-220 (1998) - [j9]Peter Nordin, Wolfgang Banzhaf, Markus Brameier:
Evolution of a world model for a miniature robot using genetic programming. Robotics Auton. Syst. 25(1-2): 105-116 (1998) - [c15]Markus Conrads, Peter Nordin, Wolfgang Banzhaf:
Speech Sound Discrimination with Genetic Programming. EuroGP 1998: 113-129 - [c14]Peter Dittrich, Andreas Bürgel, Wolfgang Banzhaf:
Learning to Move a Robot with Random Morphology. EvoRobot 1998: 165-178 - [e2]Wolfgang Banzhaf, Riccardo Poli, Marc Schoenauer, Terence C. Fogarty:
Genetic Programming, First European Workshop, EuroGP'98, Paris, France, April 14-15, 1998, Proceedings. Lecture Notes in Computer Science 1391, Springer 1998, ISBN 3-540-64360-5 [contents] - 1997
- [j8]Peter Nordin, Wolfgang Banzhaf:
An On-Line Method to Evolve Behavior and to Control a Miniature Robot in Real Time with Genetic Programming. Adapt. Behav. 5(2): 107-140 (1997) - [c13]Peter Nordin, Wolfgang Banzhaf, Frank D. Francone:
Introns in Nature and in Simulated Structure Evolution. BCEC 1997: 22-35 - 1996
- [c12]Wolfgang Banzhaf, Frank D. Francone, Peter Nordin:
The Effect of Extensive Use of the Mutation Operator on Generalization in Genetic Programming Using Sparse Data Sets. PPSN 1996: 300-309 - 1995
- [c11]Jeanine Graf, Wolfgang Banzhaf:
Interactive Evolution for Simulated Natural Evolution. Artificial Evolution 1995: 259-272 - [c10]Wolfgang Banzhaf, Frank H. Eeckman:
Editors' Introduction. Evolution and Biocomputation 1995: 1-5 - [c9]Wolfgang Banzhaf:
Self-Organizing Algorithms Derived from RNA Interactions. Evolution and Biocomputation 1995: 69-102 - [c8]Jeanine Graf, Wolfgang Banzhaf:
Interactive Evolution of Images. Evolutionary Programming 1995: 53-65 - [c7]Peter Nordin, Wolfgang Banzhaf:
Complexity Compression and Evolution. ICGA 1995: 310-317 - [c6]Peter Nordin, Wolfgang Banzhaf:
Evolving Turing-Complete Programs for a Register Machine with Self-modifying Code. ICGA 1995: 318-327 - [e1]Wolfgang Banzhaf, Frank H. Eeckman:
Evolution and Biocomputation, Computational Models of Evolution. Lecture Notes in Computer Science 899, Springer 1995, ISBN 3-540-59046-3 [contents] - 1994
- [j7]Wolfgang Banzhaf:
Self-Replicating Sequences of Binary Numbers: The Build-Up of Complexity. Complex Syst. 8(3) (1994) - [j6]Shigetoshi Nara, Wolfgang Banzhaf:
Pattern Search Using Genetic Algorithms and a Neural Network Model. Complex Syst. 8(4) (1994) - [c5]Wolfgang Banzhaf:
Artificial Selection in a System of Self-Replicating Strings. International Conference on Evolutionary Computation 1994: 651-655 - [c4]Wolfgang Banzhaf:
Genotype-Phenotype-Mapping and Neutral Variation - A Case Study in Genetic Programming. PPSN 1994: 322-332 - 1993
- [j5]Wolfgang Banzhaf:
Self-replicating sequences of binary numbers. Foundations I: General. Biol. Cybern. 69(4): 269-274 (1993) - [j4]Wolfgang Banzhaf:
Self-replicating sequences of binary numbers. Foundations II: Strings of length N=4. Biol. Cybern. 69(4): 275-281 (1993) - [c3]Wolfgang Banzhaf:
Genetic Programming for Pedestrians. ICGA 1993: 628 - [c2]Takashi Iwamoto, Wolfgang Banzhaf, Kazuo Kyuma:
Topological Aspects of Genetic Algorithms. ICGA 1993: 638 - 1991
- [j3]Wolfgang Banzhaf, Kazuo Kyuma:
The time-into-intensity-mapping network. Biol. Cybern. 66(2): 115-121 (1991) - [j2]Wolfgang Banzhaf, Manfred Schmutz:
Some Notes on Competition Among Cell Assemblies. Int. J. Neural Syst. 2(4): 303-313 (1991) - 1990
- [j1]Wolfgang Banzhaf, Hermann Haken:
Learning in a competitive network. Neural Networks 3(4): 423-435 (1990)
1980 – 1989
- 1989
- [c1]Wolfgang Banzhaf:
Finding the Global Minimum of a Low-Dimensional Spin-Glass Model. Parallelism, Learning, Evolution 1989: 442-456
Coauthor Index
Vishnu Naresh Boddeti
aka: Vishnu Boddeti
aka: Vishnu Boddeti
Simon Harding
aka: Simon L. Harding
aka: Simon L. Harding
Nathaniel Haut
aka: Nathan Haut
aka: Nathan Haut
Julian Francis Miller
aka: Julian F. Miller
aka: Julian F. Miller
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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-10-23 21:21 CEST by the dblp team
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