Wolfgang Banzhaf

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 93

Top Venues

Publications

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) (2024)
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) (2024)
Wolfgang Banzhaf, Illya Bakurov
On The Nature Of The Phenotype In Tree Genetic Programming. CoRR (2024)
Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. GECCO (2023)
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)
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)
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)
Ritam Guha, Wei Ao, Stephen Kelly, Vishnu Boddeti, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb
MOAZ: A Multi-Objective AutoML-Zero Framework. GECCO (2023)
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) (2023)
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 (2023)
Hengzhe Zhang, Qi Chen, Alberto Tonda, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. EuroGP (2023)
Yuan Yuan, Wolfgang Banzhaf
Iterative genetic improvement: Scaling stochastic program synthesis. Artif. Intell. 322 (2023)
Ting Hu, Gabriela Ochoa, Wolfgang Banzhaf
Phenotype Search Trajectory Networks for Linear Genetic Programming. EuroGP (2023)
Nathan Haut, Bill Punch, Wolfgang Banzhaf
Active Learning Informs Symbolic Regression Model Development in Genetic Programming. GECCO Companion (2023)
Iliya Miralavy, Wolfgang Banzhaf
Spatial Genetic Programming. EuroGP (2023)
Nathan Haut, Wolfgang Banzhaf, Bill Punch
Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression. CoRR (2023)
Akbar Telikani, Amirhessam Tahmassebi, Wolfgang Banzhaf, Amir H. Gandomi
Evolutionary Machine Learning: A Survey. ACM Comput. Surv. 54 (8) (2022)
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 (2022)
William B. Langdon, Wolfgang Banzhaf
Long-term evolution experiment with genetic programming [hot of the press]. GECCO Companion (2022)
Nathan Haut, Wolfgang Banzhaf, Bill Punch
Active learning improves performance on symbolic regression tasks in StackGP. GECCO Companion (2022)
Nathan Haut, Wolfgang Banzhaf, Bill Punch
Active Learning Improves Performance on Symbolic RegressionTasks in StackGP. CoRR (2022)
Yuan Yuan, Wolfgang Banzhaf
Iterative Genetic Improvement: Scaling Stochastic Program Synthesis. CoRR (2022)
Nathan Haut, Wolfgang Banzhaf, Bill Punch
Correlation versus RMSE Loss Functions in Symbolic Regression Tasks. CoRR (2022)
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)
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)
Yuan Yuan, Wolfgang Banzhaf
Expensive Multiobjective Evolutionary Optimization Assisted by Dominance Prediction. IEEE Trans. Evol. Comput. 26 (1) (2022)
Gustavo Recio, Wolfgang Banzhaf, Roger White
From Dynamics to Novelty: An Agent-Based Model of the Economic System. Artif. Life 28 (1) (2022)
Ting Hu, Gabriela Ochoa, Wolfgang Banzhaf
Phenotype Search Trajectory Networks for Linear Genetic Programming. CoRR (2022)
Iliya Miralavy, Wolfgang Banzhaf
An Artificial Chemistry Implementation of a Gene Regulatory Network. CoRR (2022)
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 (2022)
William B. Langdon, Wolfgang Banzhaf
Long-Term Evolution Experiment with Genetic Programming. Artif. Life 28 (2) (2022)
Iliya Miralavy, Alexander Bricco, Assaf A. Gilad, Wolfgang Banzhaf
Using Genetic Programming to Predict and Optimize Protein Function. CoRR (2022)
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) (2021)
Stephen Kelly, Tatiana Voegerl, Wolfgang Banzhaf, Cedric Gondro
Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning. CoRR (2021)
Stephen Kelly, Tatiana Voegerl, Wolfgang Banzhaf, Cedric Gondro
Evolving hierarchical memory-prediction machines in multi-task reinforcement learning. Genet. Program. Evolvable Mach. 22 (4) (2021)
Kenneth N. Reid, Iliya Miralavy, Stephen Kelly, Wolfgang Banzhaf, Cedric Gondro
The factory must grow: automation in Factorio. GECCO Companion (2021)
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) (2021)
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) (2021)
Kenneth N. Reid, Iliya Miralavy, Stephen Kelly, Wolfgang Banzhaf, Cedric Gondro
The Factory Must Grow: Automation in Factorio. CoRR (2021)
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 (2020)
Yuan Yuan, Wolfgang Banzhaf
ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming. IEEE Trans. Software Eng. 46 (10) (2020)
Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search. ECCV (1) (2020)
Yuan Yuan, Wolfgang Banzhaf
Toward Better Evolutionary Program Repair: An Integrated Approach. ACM Trans. Softw. Eng. Methodol. 29 (1) (2020)
Wolfgang Banzhaf
The Effects of Taxes on Wealth Inequality in Artificial Chemistry Models of Economic Activity. CoRR (2020)
Gustavo Recio, Wolfgang Banzhaf, Roger White
A Study of Severe Disruption in an Artificial Economy. ALIFE (2020)
Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti
Neural Architecture Transfer. CoRR (2020)
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 (2020)
Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search. CoRR (2020)
Stephen Kelly, Jacob Newsted, Wolfgang Banzhaf, Cedric Gondro
A modular memory framework for time series prediction. GECCO (2020)
Honglin Bao, Wolfgang Banzhaf
Evolution of Cooperative Hunting in Artificial Multi-layered Societies. CoRR (2020)
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)
Ting Hu, Marco Tomassini, Wolfgang Banzhaf
A network perspective on genotype-phenotype mapping in genetic programming. Genet. Program. Evolvable Mach. 21 (3) (2020)
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)
William B. Langdon, Wolfgang Banzhaf
Faster Genetic Programming GPquick via multicore and Advanced Vector Extensions. CoRR (2019)
Yuan Yuan, Wolfgang Banzhaf
A hybrid evolutionary system for automatic software repair. GECCO (2019)
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)
Ting Hu, Marco Tomassini, Wolfgang Banzhaf
Complex Network Analysis of a Genetic Programming Phenotype Network. EuroGP (2019)
Roger White, Wolfgang Banzhaf
Putting Natural Time into Science. CoRR (2019)
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 (2019)
David Robert White, Benjamin Fowler, Wolfgang Banzhaf, Earl T. Barr
Modelling Genetic Programming as a Simple Sampling Algorithm. GPTP (2019)
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)
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)
Yuan Yuan, Wolfgang Banzhaf
An Evolutionary System for Better Automatic Software Repair. GPTP (2019)
Vinícius Veloso de Melo, Danilo Vasconcellos Vargas, Wolfgang Banzhaf
Batch Tournament Selection for Genetic Programming. CoRR (2019)
Stephen Kelly, Wolfgang Banzhaf
Temporal Memory Sharing in Visual Reinforcement Learning. GPTP (2019)
William B. Langdon, Wolfgang Banzhaf
Continuous Long-Term Evolution of Genetic Programming. ALIFE (2019)
Vinícius Veloso de Melo, Wolfgang Banzhaf
Automatic feature engineering for regression models with machine learning: An evolutionary computation and statistics hybrid. Inf. Sci. 430 (2018)
Matthew Andres Moreno, Wolfgang Banzhaf, Charles Ofria
Learning an evolvable genotype-phenotype mapping. GECCO (2018)
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 (2018)
Sylvain Cussat-Blanc, Kyle Ira Harrington, Wolfgang Banzhaf
Artificial Gene Regulatory Networks - A Review. Artif. Life 24 (4) (2018)
Emily L. Dolson, Wolfgang Banzhaf, Charles Ofria
Ecological theory provides insights about evolutionary computation. PeerJ Prepr. 6 (2018)
Honglin Bao, Qiqige Wuyun, Wolfgang Banzhaf
Evolution of Cooperation through Genetic Collective Learning and Imitation in Multiagent Societies. ALIFE (2018)
Vinícius Veloso de Melo, Wolfgang Banzhaf
Drone Squadron Optimization: a novel self-adaptive algorithm for global numerical optimization. Neural Comput. Appl. 30 (10) (2018)
Emily L. Dolson, Wolfgang Banzhaf, Charles Ofria
Applying Ecological Principles to Genetic Programming. GPTP (2017)
Esteban Ricalde, Wolfgang Banzhaf
Evolving Adaptive Traffic Signal Controllers for a Real Scenario Using Genetic Programming with an Epigenetic Mechanism. ICMLA (2017)
Vinícius Veloso de Melo, Wolfgang Banzhaf
Improving the prediction of material properties of concrete using Kaizen Programming with Simulated Annealing. Neurocomputing 246 (2017)
Vinícius Veloso de Melo, Wolfgang Banzhaf
Drone Squadron Optimization: a Self-adaptive Algorithm for Global Numerical Optimization. CoRR (2017)
Amir Tavafi, Wolfgang Banzhaf
A hybrid genetic programming decision making system for RoboCup soccer simulation. GECCO (2017)
Sylvain Cussat-Blanc, Wolfgang Banzhaf
Introduction to gene regulatory networks. GECCO (Companion) (2017)
Yuan Yuan, Wolfgang Banzhaf
ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming. CoRR (2017)
Javad Rahimipour Anaraki, Saeed Samet, Wolfgang Banzhaf, Mahdi Eftekhari
A New Fuzzy-Rough Hybrid Merit to Feature Selection. Trans. Rough Sets 20 (2016)
Yunhai Wang, Yiming Qian, Yang Li, Minglun Gong, Wolfgang Banzhaf
Artificial Multi-Bee-Colony Algorithm for k-Nearest-Neighbor Fields Search. GECCO (2016)
Vinícius Veloso de Melo, Wolfgang Banzhaf
Improving Logistic Regression Classification of Credit Approval with Features Constructed by Kaizen Programming. GECCO (Companion) (2016)
Ting Hu, Wolfgang Banzhaf
Neutrality, Robustness, and Evolvability in Genetic Programming. GPTP (2016)
Ting Hu, Wolfgang Banzhaf
Quantitative Analysis of Evolvability using Vertex Centralities in Phenotype Network. GECCO (2016)
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) (2016)
Esteban Ricalde, Wolfgang Banzhaf
A Genetic Programming Approach for the Traffic Signal Control Problem with Epigenetic Modifications. EuroGP (2016)
Benjamin Fowler, Wolfgang Banzhaf
Modelling Evolvability in Genetic Programming. EuroGP (2016)
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 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) (2016)
Sylvain Cussat-Blanc, Wolfgang Banzhaf
Introduction to Gene Regulatory Networks. GECCO (Companion) (2015)
Vinícius Veloso de Melo, Wolfgang Banzhaf
Predicting High-Performance Concrete Compressive Strength Using Features Constructed by Kaizen Programming. BRACIS (2015)
Scott Watson, Andrew Vardy, Wolfgang Banzhaf, Todd Wareham
Machiavellian agents: Player modelling to deceive and be deceived. CGAMES (2015)
Vinícius Veloso de Melo, Benjamin Fowler, Wolfgang Banzhaf
Evaluating Methods for Constant Optimization of Symbolic Regression Benchmark Problems. BRACIS (2015)
Ting Hu, Wolfgang Banzhaf, Jason H. Moore
Population Exploration on Genotype Networks in Genetic Programming. PPSN (2014)
Wolfgang Banzhaf, Christoph Flamm, Daniel Merkle, Peter F. Stadler
Algorithmic Cheminformatics (Dagstuhl Seminar 14452). Dagstuhl Reports 4 (11) (2014)
Wolfgang Banzhaf
Response to comments on "Genetic Programming and Emergence". Genet. Program. Evolvable Mach. 15 (1) (2014)
Wolfgang Banzhaf
Genetic Programming and Emergence. Genet. Program. Evolvable Mach. 15 (1) (2014)
Ting Hu, Wolfgang Banzhaf, Jason H. Moore
The Effects of Recombination on Phenotypic Exploration and Robustness in Evolution. Artif. Life 20 (4) (2014)
Andrew Vardy, Gregory Vorobyev, Wolfgang Banzhaf
Cache consensus: rapid object sorting by a robotic swarm. Swarm Intell. 8 (1) (2014)
Scott Watson, Wolfgang Banzhaf, Andrew Vardy
Automated design for playability in computer game agents. CIG (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wolfgang Banzhaf