Finding the Global Minimum of a Low-Dimensional Spin-Glass Model. - Wolfgang Banzhaf (Parallelism, Learning, Evolution, 1989)

Learning in a competitive network. - Wolfgang Banzhaf; Hermann Haken (Neural Networks, 1990)

The time-into-intensity-mapping network. - Wolfgang Banzhaf; Kazuo Kyuma (Biol. Cybern., 1991)

Some Notes on Competition Among Cell Assemblies. - Wolfgang Banzhaf; Manfred Schmutz (Int. J. Neural Syst., 1991)

Genetic Programming for Pedestrians. - Wolfgang Banzhaf (ICGA, 1993)

Topological Aspects of Genetic Algorithms. - Takashi Iwamoto; Wolfgang Banzhaf; Kazuo Kyuma (ICGA, 1993)

Self-replicating sequences of binary numbers. Foundations I: General. - Wolfgang Banzhaf (Biol. Cybern., 1993)

Self-replicating sequences of binary numbers. Foundations II: Strings of length N=4. - Wolfgang Banzhaf (Biol. Cybern., 1993)

Artificial Selection in a System of Self-Replicating Strings. - Wolfgang Banzhaf (International Conference on Evolutionary Computation, 1994)

Genotype-Phenotype-Mapping and Neutral Variation - A Case Study in Genetic Programming. - Wolfgang Banzhaf (PPSN, 1994)

Self-Replicating Sequences of Binary Numbers: The Build-Up of Complexity. - Wolfgang Banzhaf (Complex Syst., 1994)

Pattern Search Using Genetic Algorithms and a Neural Network Model. - Shigetoshi Nara; Wolfgang Banzhaf (Complex Syst., 1994)

Interactive Evolution for Simulated Natural Evolution. - Jeanine Graf; Wolfgang Banzhaf (Artificial Evolution, 1995)

Self-Organizing Algorithms Derived from RNA Interactions. - Wolfgang Banzhaf (Evolution and Biocomputation, 1995)

Editors' Introduction. - Wolfgang Banzhaf; Frank H. Eeckman (Evolution and Biocomputation, 1995)

Interactive Evolution of Images. - Jeanine Graf; Wolfgang Banzhaf (Evolutionary Programming, 1995)

Complexity Compression and Evolution. - Peter Nordin; Wolfgang Banzhaf (ICGA, 1995)

Evolving Turing-Complete Programs for a Register Machine with Self-modifying Code. - Peter Nordin; Wolfgang Banzhaf (ICGA, 1995)

The Effect of Extensive Use of the Mutation Operator on Generalization in Genetic Programming Using Sparse Data Sets. - Wolfgang Banzhaf; Frank D. Francone; Peter Nordin (PPSN, 1996)

Introns in Nature and in Simulated Structure Evolution. - Peter Nordin; Wolfgang Banzhaf; Frank D. Francone (BCEC, 1997)

An On-Line Method to Evolve Behavior and to Control a Miniature Robot in Real Time with Genetic Programming. - Peter Nordin; Wolfgang Banzhaf (Adapt. Behav., 1997)

Speech Sound Discrimination with Genetic Programming. - Markus Conrads; Peter Nordin; Wolfgang Banzhaf (EuroGP, 1998)

Learning to Move a Robot with Random Morphology. - Peter Dittrich; Andreas Bürgel; Wolfgang Banzhaf (EvoRobot, 1998)

Self-Evolution in a Constructive Binary String System. - Peter Dittrich; Wolfgang Banzhaf (Artif. Life, 1998)

Evolution of a world model for a miniature robot using genetic programming. - Peter Nordin; Wolfgang Banzhaf; Markus Brameier (Robotics Auton. Syst., 1998)

Empirical analysis of different levels of meta-evolution. - Wolfgang Kantschik; Peter Dittrich; Markus Brameier; Wolfgang Banzhaf (CEC, 1999)

AIM-GP and parallelism. - Peter Nordin; Frank Hoffmann; Frank D. Francone; Markus Brameier; Wolfgang Banzhaf (CEC, 1999)

Meta-Evolution in Graph GP. - Wolfgang Kantschik; Peter Dittrich; Markus Brameier; Wolfgang Banzhaf (EuroGP, 1999)

Parallel Machine Code Genetic Programming. - Markus Brameier; Frank Hoffmann; Peter Nordin; Wolfgang Banzhaf; Frank D. Francone (GECCO, 1999)

Dynamical Properties of the Fitness Landscape of a GP Controlled Random Morphology Robot. - Peter Dittrich; Andre Skusa; Wolfgang Kantschik; Wolfgang Banzhaf (GECCO, 1999)

Homologous Crossover in Genetic Programming. - Frank D. Francone; Markus Conrads; Wolfgang Banzhaf; Peter Nordin (GECCO, 1999)

Genetic Programming 1998: Proceedings of the Third Annual Conference. - 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 (IEEE Trans. Evol. Comput., 1999)

Multi-Agent Systems Inspired by Artificial Chemistries: A Case Study in Automated Theorem Proving. - Jens Busch; Wolfgang Banzhaf (ICMAS, 2000)

Genetic Programming Bloat without Semantics. - William B. Langdon; Wolfgang Banzhaf (PPSN, 2000)

Editorial Introduction. - Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2000)

Acknowledgement. - Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2000)

Künstliche Chemie. - Andre Skusa; Wolfgang Banzhaf; Jens Busch; Peter Dittrich; Jens Ziegler 001 (Künstliche Intell., 2000)

DNASequencesGenerator: A Program for the Construction of DNA Sequences. - Udo Feldkamp; Sam Saghafi; Wolfgang Banzhaf; Hilmar Rauhe (DNA, 2001)

Survival of the Unfittest? - The Seceder Model and Its Fitness Landscape. - Peter Dittrich; Wolfgang Banzhaf (ECAL, 2001)

Stability of Metabolic and Balanced Organisations. - Pietro Speroni di Fenizio; Wolfgang Banzhaf (ECAL, 2001)

Spontaneous Formation of Proto-cells in an Universal Artificial Chemistry on a Planar Graph. - Pietro Speroni di Fenizio; Peter Dittrich; Wolfgang Banzhaf (ECAL, 2001)

Linear-Tree GP and Its Comparison with Other GP Structures. - Wolfgang Kantschik; Wolfgang Banzhaf (EuroGP, 2001)

Adaption of Operator Probabilities in Genetic Programming. - Jens Niehaus; Wolfgang Banzhaf (EuroGP, 2001)

Artificial Chemistries-A Review. - Peter Dittrich; Jens Ziegler 001; Wolfgang Banzhaf (Artif. Life, 2001)

Evolving Control Metabolisms for a Robot. - Jens Ziegler 001; Wolfgang Banzhaf (Artif. Life, 2001)

Evolving Teams of Predictors with Linear Genetic Programming. - Markus Brameier; Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2001)

A comparison of linear genetic programming and neural networks in medical data mining. - Markus Brameier; Wolfgang Banzhaf (IEEE Trans. Evol. Comput., 2001)

Explicit Control of Diversity and Effective Variation Distance in Linear Genetic Programming. - Markus Brameier; Wolfgang Banzhaf (EuroGP, 2002)

Automatic Generation of Control Programs for Walking Robots Using Genetic Programming. - Jens Busch; Jens Ziegler 001; Christian Aue; Andree Roß; Daniel Sawitzki; Wolfgang Banzhaf (EuroGP, 2002)

Linear-Graph GP - A New GP Structure. - Wolfgang Kantschik; Wolfgang Banzhaf (EuroGP, 2002)

Evolving Chess Playing Programs. - Roderich Groß; Keno Albrecht; Wolfgang Kantschik; Wolfgang Banzhaf (GECCO, 2002)

Some Considerations on the Reason for Bloat. - Wolfgang Banzhaf; William B. Langdon (Genet. Program. Evolvable Mach., 2002)

Exploring the search space of quantum programs. - André Leier; Wolfgang Banzhaf (IEEE Congress on Evolutionary Computation, 2003)

On Evolutionary Design, Embodiment, and Artificial Regulatory Networks. - Wolfgang Banzhaf (Embodied Artificial Intelligence, 2003)

On the Dynamics of an Artificial Regulatory Network. - Wolfgang Banzhaf (ECAL, 2003)

How to Program Artificial Chemistries. - Jens Busch; Wolfgang Banzhaf (ECAL, 2003)

Neutral Variations Cause Bloat in Linear GP. - Markus Brameier; Wolfgang Banzhaf (EuroGP, 2003)

More on Computational Effort Statistics for Genetic Programming. - Jens Niehaus; Wolfgang Banzhaf (EuroGP, 2003)

Decreasing the Number of Evaluations in Evolutionary Algorithms by Using a Meta-model of the Fitness Function. - Jens Ziegler 001; Wolfgang Banzhaf (EuroGP, 2003)

Evolving Hogg's Quantum Algorithm Using Linear-Tree GP. - André Leier; Wolfgang Banzhaf (GECCO, 2003)

Software Tools for DNA Sequence Design. - Udo Feldkamp; Hilmar Rauhe; Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2003)

On the Scalability of Social Order: Modeling the Problem of Double and Multi Contingency Following Luhmann. - Peter Dittrich; Thomas Kron; Wolfgang Banzhaf (J. Artif. Soc. Soc. Simul., 2003)

Comparison of Selection Strategies for Evolutionary Quantum Circuit Design. - André Leier; Wolfgang Banzhaf (GECCO (2), 2004)

Evolving Dynamics in an Artificial Regulatory Network Model. - P. Dwight Kuo; André Leier; Wolfgang Banzhaf (PPSN, 2004)

A New Programming Paradigm Inspired by Artificial Chemistries. - Wolfgang Banzhaf; Christian Lasarczyk (UPP, 2004)

Dynamic Subset Selection Based on a Fitness Case Topology. - Christian Lasarczyk; Peter Dittrich; Wolfgang Banzhaf (Evol. Comput., 2004)

Editorial Introduction. - Wolfgang Banzhaf; James A. Foster (Genet. Program. Evolvable Mach., 2004)

Repeated Patterns in Tree Genetic Programming. - William B. Langdon; Wolfgang Banzhaf (EuroGP, 2005)

An Algorithmic Chemistry for Genetic Programming. - Christian Lasarczyk; Wolfgang Banzhaf (EuroGP, 2005)

Total synthesis of algorithmic chemistries. - Christian Lasarczyk; Wolfgang Banzhaf (GECCO, 2005)

Repeated Sequences in Linear Genetic Programming Genomes. - William B. Langdon; Wolfgang Banzhaf (Complex Syst., 2005)

Editorial. - Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2005)

Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks. - André Leier; P. Dwight Kuo; Wolfgang Banzhaf; Kevin Burrage (EuroGP, 2006)

Introduction. - Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2006)

Acknowledgment. - Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2006)

"Going Back to our Roots": Second Generation Biocomputing. - Jon Timmis; Martyn Amos; Wolfgang Banzhaf; Andy M. Tyrrell (Int. J. Unconv. Comput., 2006)

A Genetic Programming Approach to the Generation of Hyper-Heuristics for the Uncapacitated Examination Timetabling Problem. - Nelishia Pillay; Wolfgang Banzhaf (EPIA Workshops, 2007)

Fast Genetic Programming on GPUs. - Simon Harding; Wolfgang Banzhaf (EuroGP, 2007)

Self-modifying cartesian genetic programming. - Simon Harding; Julian Francis Miller; Wolfgang Banzhaf (GECCO, 2007)

Fast Genetic Programming and Artificial Developmental Systems on GPUs. - Simon Harding; Wolfgang Banzhaf (HPCS, 2007)

Analysis of Preferential Network Motif Generation in an Artificial Regulatory Network Model Created by Duplication and Divergence. - André Leier; P. Dwight Kuo; Wolfgang Banzhaf (Adv. Complex Syst., 2007)

Why complex systems engineering needs biological development. - Wolfgang Banzhaf; Nelishia Pillay (Complex., 2007)

Reducing the Number of Fitness Evaluations in Graph Genetic Programming Using a Canonical Graph Indexed Database. - Jens Niehaus; Christian Igel; Wolfgang Banzhaf (Evol. Comput., 2007)

Artificial Development. - Simon Harding; Wolfgang Banzhaf (Organic Computing, 2008)

An Artificial Chemistry-based Model of Economies. - Bas Straatman; Roger White; Wolfgang Banzhaf (ALIFE, 2008)

Linear genetic programming GPGPU on Microsoft's Xbox 360. - Garnett Carl Wilson; Wolfgang Banzhaf (IEEE Congress on Evolutionary Computation, 2008)

A SIMD Interpreter for Genetic Programming on GPU Graphics Cards. - William B. Langdon; Wolfgang Banzhaf (EuroGP, 2008)

A Comparison of Cartesian Genetic Programming and Linear Genetic Programming. - Garnett Carl Wilson; Wolfgang Banzhaf (EuroGP, 2008)

Measuring rate of evolution in genetic programming using amino acid to synonymous substitution ratio ka/ks. - Ting Hu 001; Wolfgang Banzhaf (GECCO, 2008)

Combatting financial fraud: a coevolutionary anomaly detection approach. - Shelly Xiaonan Wu; Wolfgang Banzhaf (GECCO, 2008)

Nonsynonymous to Synonymous Substitution Ratio ka/ks: Measurement for Rate of Evolution in Evolutionary Computation. - Ting Hu 001; Wolfgang Banzhaf (PPSN, 2008)

A Developmental Approach to the Uncapacitated Examination Timetabling Problem. - Nelishia Pillay; Wolfgang Banzhaf (PPSN, 2008)

Evolving blackbox quantum algorithms using genetic programming. - Ralf Stadelhofer; Wolfgang Banzhaf; Dieter Suter (Artif. Intell. Eng. Des. Anal. Manuf., 2008)

An Eigen analysis of the GP community. - William B. Langdon; Riccardo Poli; Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2008)

Genetic programming on GPUs for image processing. - Simon Harding; Wolfgang Banzhaf (Int. J. High Perform. Syst. Archit., 2008)

Repeated patterns in genetic programming. - William B. Langdon; Wolfgang Banzhaf (Nat. Comput., 2008)

Self modifying Cartesian Genetic Programming: Parity. - Simon Harding; Julian Francis Miller; Wolfgang Banzhaf (IEEE Congress on Evolutionary Computation, 2009)

Augmenting artificial development with local fitness. - Taras Kowaliw; Wolfgang Banzhaf (IEEE Congress on Evolutionary Computation, 2009)

Evolving novel image features using Genetic Programming-based image transforms. - Taras Kowaliw; Wolfgang Banzhaf; Nawwaf Kharma; Simon Harding (IEEE Congress on Evolutionary Computation, 2009)

Discovery of email communication networks from the Enron corpus with a genetic algorithm using social network analysis. - Garnett Carl Wilson; Wolfgang Banzhaf (IEEE Congress on Evolutionary Computation, 2009)

Elongation Control in an Algorithmic Chemistry. - Thomas Meyer 004; Lidia Yamamoto; Wolfgang Banzhaf; Christian F. Tschudin (ECAL (1), 2009)

Investigations of Wilson's and Traulsen's Group Selection Models in Evolutionary Computation. - Shelly Xiaonan Wu; Wolfgang Banzhaf (ECAL (2), 2009)

Self Modifying Cartesian Genetic Programming: Fibonacci, Squares, Regression and Summing. - Simon Harding; Julian Francis Miller; Wolfgang Banzhaf (EuroGP, 2009)

The Role of Population Size in Rate of Evolution in Genetic Programming. - Ting Hu 001; Wolfgang Banzhaf (EuroGP, 2009)

Prediction of Interday Stock Prices Using Developmental and Linear Genetic Programming. - Garnett Carl Wilson; Wolfgang Banzhaf (EvoWorkshops, 2009)

Accelerating evolutionary computation with graphics processing units. - Wolfgang Banzhaf; Simon Harding (GECCO (Companion), 2009)

Evolution, development and learning using self-modifying cartesian genetic programming. - Simon Harding; Julian Francis Miller; Wolfgang Banzhaf (GECCO, 2009)

Neutrality and variability: two sides of evolvability in linear genetic programming. - Ting Hu 001; Wolfgang Banzhaf (GECCO, 2009)

An evolutionary approach to planning IEEE 802.16 networks. - Ting Hu 001; Yuanzhu Peter Chen; Wolfgang Banzhaf; Robert Benkoczi (GECCO, 2009)

Soft memory for stock market analysis using linear and developmental genetic programming. - Garnett Carl Wilson; Wolfgang Banzhaf (GECCO, 2009)

Deployment of CPU and GPU-based genetic programming on heterogeneous devices. - Garnett Carl Wilson; Wolfgang Banzhaf (GECCO (Companion), 2009)

A study of heuristic combinations for hyper-heuristic systems for the uncapacitated examination timetabling problem. - Nelishia Pillay; Wolfgang Banzhaf (Eur. J. Oper. Res., 2009)

Self-organizing Systems. - Wolfgang Banzhaf (Encyclopedia of Complexity and Systems Science, 2009)

Catalytic Search in Dynamic Environments. - Lidia Yamamoto; Wolfgang Banzhaf (ALIFE, 2010)

Fast and effective predictability filters for stock price series using linear genetic programming. - Garnett Carl Wilson; Wolfgang Banzhaf (IEEE Congress on Evolutionary Computation, 2010)

Evolving Genes to Balance a Pole. - Miguel Nicolau; Marc Schoenauer; Wolfgang Banzhaf (EuroGP, 2010)

WiMAX Network Planning Using Adaptive-Population-Size Genetic Algorithm. - Ting Hu 001; Yuanzhu Peter Chen; Wolfgang Banzhaf (EvoApplications (2), 2010)

Self modifying cartesian genetic programming: finding algorithms that calculate pi and e to arbitrary precision. - Simon Harding; Julian F. Miller; Wolfgang Banzhaf (GECCO, 2010)

Interday foreign exchange trading using linear genetic programming. - Garnett Carl Wilson; Wolfgang Banzhaf (GECCO, 2010)

A hierarchical cooperative evolutionary algorithm. - Shelly Xiaonan Wu; Wolfgang Banzhaf (GECCO, 2010)

Detecting anomalies in spatiotemporal data using genetic algorithms with fuzzy community membership. - Garnett Carl Wilson; Simon Harding; Orland Hoeber; Rodolphe Devillers; Wolfgang Banzhaf (ISDA, 2010)

An informed genetic algorithm for the examination timetabling problem. - Nelishia Pillay; Wolfgang Banzhaf (Appl. Soft Comput., 2010)

The use of computational intelligence in intrusion detection systems: A review. - Shelly Xiaonan Wu; Wolfgang Banzhaf (Appl. Soft Comput., 2010)

Developments in Cartesian Genetic Programming: self-modifying CGP. - Simon Harding; Julian F. Miller; Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2010)

Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm. - Ting Hu 001; Simon Harding; Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2010)

Open issues in genetic programming. - Michael O'Neill 001; Leonardo Vanneschi; Steven M. Gustafson; Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2010)

Deployment of parallel linear genetic programming using GPUs on PC and video game console platforms. - Garnett Carl Wilson; Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2010)

Evolutionary transition through a new multilevel selection model. - Shelly Xiaonan Wu; Wolfgang Banzhaf (ECAL, 2011)

Evolving Reaction-Diffusion Systems on GPU. - Lidia Yamamoto; Wolfgang Banzhaf; Pierre Collet (EPIA, 2011)

Robustness, Evolvability, and Accessibility in Linear Genetic Programming. - Ting Hu 001; Joshua L. Payne; Wolfgang Banzhaf; Jason H. Moore (EuroGP, 2011)

Implementing cartesian genetic programming classifiers on graphics processing units using GPU.NET. - Simon Harding; Wolfgang Banzhaf (GECCO (Companion), 2011)

SMCGP2: self modifying cartesian genetic programming in two dimensions. - Simon Harding; Julian F. Miller; Wolfgang Banzhaf (GECCO, 2011)

SMCGP2: finding algorithms that approximate numerical constants using quaternions and complex numbers. - Simon Harding; Julian F. Miller; Wolfgang Banzhaf (GECCO (Companion), 2011)

Large network analysis for fisheries management using coevolutionary genetic algorithms. - Garnett Carl Wilson; Simon Harding; Orland Hoeber; Rodolphe Devillers; Wolfgang Banzhaf (GECCO, 2011)

Stock trading using linear genetic programming with multiple time frames. - Garnett Carl Wilson; Derek Leblanc; Wolfgang Banzhaf (GECCO, 2011)

Rethinking multilevel selection in genetic programming. - Shelly Xiaonan Wu; Wolfgang Banzhaf (GECCO, 2011)

Recovery properties of distributed cluster head election using reaction-diffusion. - Lidia Yamamoto; Daniele Miorandi; Pierre Collet; Wolfgang Banzhaf (Swarm Intell., 2011)

Hardware Acceleration for CGP: Graphics Processing Units. - Simon L. Harding; Wolfgang Banzhaf (Cartesian Genetic Programming, 2011)

Self-Modifying Cartesian Genetic Programming. - Simon L. Harding; Julian F. Miller; Wolfgang Banzhaf (Cartesian Genetic Programming, 2011)

Image Processing and CGP. - Lukás Sekanina; Simon L. Harding; Wolfgang Banzhaf; Taras Kowaliw (Cartesian Genetic Programming, 2011)

Mechanisms for Complex Systems Engineering Through Artificial Development. - Taras Kowaliw; Wolfgang Banzhaf (Morphogenetic Engineering, Toward Programmable Complex Systems, 2012)

Parallel exhaustive search vs. evolutionary computation in a large real world network search space. - Garnett Carl Wilson; Simon Harding; Orland Hoeber; Rodolphe Devillers; Wolfgang Banzhaf (IEEE Congress on Evolutionary Computation, 2012)

Using sector information with linear genetic programming for intraday equity price trend analysis. - Garnett Carl Wilson; Derek Leblanc; Wolfgang Banzhaf (IEEE Congress on Evolutionary Computation, 2012)

Supervised Learning in Robotic Swarms: From Training Samples to Emergent Behavior. - Gregory Vorobyev; Andrew Vardy; Wolfgang Banzhaf (DARS, 2012)

Achieving desirable gameplay objectives by niched evolution of game parameters. - Scott Watson; Andrew Vardy; Wolfgang Banzhaf (IGIC, 2012)

The unconstrained automated generation of cell image features for medical diagnosis. - Taras Kowaliw; Wolfgang Banzhaf (GECCO, 2012)

Evolutionary dynamics on multiple scales: a quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming. - Ting Hu 001; Joshua L. Payne; Wolfgang Banzhaf; Jason H. Moore (Genet. Program. Evolvable Mach., 2012)

Artificial Life. - Wolfgang Banzhaf; Barry McMullin (Handbook of Natural Computing, 2012)

Optimizing Shape Design with Distributed Parallel Genetic Programming on GPUs. - Simon Harding; Wolfgang Banzhaf (Parallel Architectures and Bioinspired Algorithms, 2012)

Conformity and Nonconformity in Collective Robotics: A Case Study. - Gregory Vorobyev; Andrew Vardy; Wolfgang Banzhaf (ECAL, 2013)

Robustness and Evolvability of Recombination in Linear Genetic Programming. - Ting Hu 001; Wolfgang Banzhaf; Jason H. Moore (EuroGP, 2013)

Networks of transform-based evolvable features for object recognition. - Taras Kowaliw; Wolfgang Banzhaf; René Doursat (GECCO, 2013)

Artificial Chemistries on GPU. - Lidia Yamamoto; Pierre Collet; Wolfgang Banzhaf (Massively Parallel Evolutionary Computation on GPGPUs, 2013)

Automated design for playability in computer game agents. - Scott Watson; Wolfgang Banzhaf; Andrew Vardy (CIG, 2014)

Population Exploration on Genotype Networks in Genetic Programming. - Ting Hu 001; Wolfgang Banzhaf; Jason H. Moore (PPSN, 2014)

The Effects of Recombination on Phenotypic Exploration and Robustness in Evolution. - Ting Hu 001; Wolfgang Banzhaf; Jason H. Moore (Artif. Life, 2014)

Algorithmic Cheminformatics (Dagstuhl Seminar 14452). - Wolfgang Banzhaf; Christoph Flamm; Daniel Merkle; Peter F. Stadler (Dagstuhl Reports, 2014)

Genetic Programming and Emergence. - Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2014)

Response to comments on "Genetic Programming and Emergence". - Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2014)

Cache consensus: rapid object sorting by a robotic swarm. - Andrew Vardy; Gregory Vorobyev; Wolfgang Banzhaf (Swarm Intell., 2014)

Predicting High-Performance Concrete Compressive Strength Using Features Constructed by Kaizen Programming. - Vinícius Veloso de Melo; Wolfgang Banzhaf (BRACIS, 2015)

Evaluating Methods for Constant Optimization of Symbolic Regression Benchmark Problems. - Vinícius Veloso de Melo; Benjamin Fowler; Wolfgang Banzhaf (BRACIS, 2015)

Machiavellian agents: Player modelling to deceive and be deceived. - Scott Watson; Andrew Vardy; Wolfgang Banzhaf; Todd Wareham (CGAMES, 2015)

Kaizen Programming for Feature Construction for Classification. - Vinícius Veloso de Melo; Wolfgang Banzhaf (GPTP, 2015)

Modelling Evolvability in Genetic Programming. - Benjamin Fowler; Wolfgang Banzhaf (EuroGP, 2016)

A Genetic Programming Approach for the Traffic Signal Control Problem with Epigenetic Modifications. - Esteban Ricalde; Wolfgang Banzhaf (EuroGP, 2016)

Quantitative Analysis of Evolvability using Vertex Centralities in Phenotype Network. - Ting Hu 001; Wolfgang Banzhaf (GECCO, 2016)

Improving Logistic Regression Classification of Credit Approval with Features Constructed by Kaizen Programming. - Vinícius Veloso de Melo; Wolfgang Banzhaf (GECCO (Companion), 2016)

Artificial Multi-Bee-Colony Algorithm for k-Nearest-Neighbor Fields Search. - Yunhai Wang; Yiming Qian; Yang Li; Minglun Gong; Wolfgang Banzhaf (GECCO, 2016)

Neutrality, Robustness, and Evolvability in Genetic Programming. - Ting Hu 001; Wolfgang Banzhaf (GPTP, 2016)

Open-Ended Evolution: Perspectives from the OEE Workshop in York. - Tim Taylor 001; 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; et al. (Artif. Life, 2016)

Defining and simulating open-ended novelty: requirements, guidelines, and challenges. - 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 (Theory Biosci., 2016)

A New Fuzzy-Rough Hybrid Merit to Feature Selection. - Javad Rahimipour Anaraki; Saeed Samet; Wolfgang Banzhaf; Mahdi Eftekhari (Trans. Rough Sets, 2016)

Introduction to gene regulatory networks. - Sylvain Cussat-Blanc; Wolfgang Banzhaf (GECCO (Companion), 2017)

A hybrid genetic programming decision making system for RoboCup soccer simulation. - Amir Tavafi; Wolfgang Banzhaf (GECCO, 2017)

Applying Ecological Principles to Genetic Programming. - Emily L. Dolson; Wolfgang Banzhaf; Charles Ofria (GPTP, 2017)

Evolving Adaptive Traffic Signal Controllers for a Real Scenario Using Genetic Programming with an Epigenetic Mechanism. - Esteban Ricalde; Wolfgang Banzhaf (ICMLA, 2017)

Drone Squadron Optimization: a Self-adaptive Algorithm for Global Numerical Optimization. - Vinícius Veloso de Melo; Wolfgang Banzhaf (CoRR, 2017)

Improving the prediction of material properties of concrete using Kaizen Programming with Simulated Annealing. - Vinícius Veloso de Melo; Wolfgang Banzhaf (Neurocomputing, 2017)

Learning an evolvable genotype-phenotype mapping. - Matthew Andres Moreno; Wolfgang Banzhaf; Charles Ofria (GECCO, 2018)

Evolution of Cooperation through Genetic Collective Learning and Imitation in Multiagent Societies. - Honglin Bao; Qiqige Wuyun; Wolfgang Banzhaf (ALIFE, 2018)

Artificial Gene Regulatory Networks - A Review. - Sylvain Cussat-Blanc; Kyle Ira Harrington; Wolfgang Banzhaf (Artif. Life, 2018)

NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search. - Zhichao Lu; Ian Whalen; Vishnu Boddeti; Yashesh D. Dhebar; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf (CoRR, 2018)

Automatic feature engineering for regression models with machine learning: An evolutionary computation and statistics hybrid. - Vinícius Veloso de Melo; Wolfgang Banzhaf (Inf. Sci., 2018)

Drone Squadron Optimization: a novel self-adaptive algorithm for global numerical optimization. - Vinícius Veloso de Melo; Wolfgang Banzhaf (Neural Comput. Appl., 2018)

Ecological theory provides insights about evolutionary computation. - Emily L. Dolson; Wolfgang Banzhaf; Charles Ofria (PeerJ Prepr., 2018)

Complex Network Analysis of a Genetic Programming Phenotype Network. - Ting Hu 001; Marco Tomassini; Wolfgang Banzhaf (EuroGP, 2019)

Bond strength prediction of FRP-bar reinforced concrete: a multi-gene genetic programming approach. - Hamed Bolandi; Wolfgang Banzhaf; Nizar Lajnef; Kaveh Barri; Amir Hossein Alavi (GECCO (Companion), 2019)

NSGA-Net: neural architecture search using multi-objective genetic algorithm. - Zhichao Lu; Ian Whalen; Vishnu Boddeti; Yashesh D. Dhebar; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf (GECCO, 2019)

Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament. - Vinícius Veloso de Melo; Danilo Vasconcellos Vargas; Wolfgang Banzhaf (GECCO, 2019)

A hybrid evolutionary system for automatic software repair. - Yuan Yuan 004; Wolfgang Banzhaf (GECCO, 2019)

Temporal Memory Sharing in Visual Reinforcement Learning. - Stephen Kelly; Wolfgang Banzhaf (GPTP, 2019)

It Is Time for New Perspectives on How to Fight Bloat in GP. - Francisco Fernández de Vega; Gustavo Olague; Francisco Chávez de la O; Daniel Lanza; Wolfgang Banzhaf; Erik D. Goodman (GPTP, 2019)

Modelling Genetic Programming as a Simple Sampling Algorithm. - David Robert White; Benjamin Fowler; Wolfgang Banzhaf; Earl T. Barr (GPTP, 2019)

An Evolutionary System for Better Automatic Software Repair. - Yuan Yuan 004; Wolfgang Banzhaf (GPTP, 2019)

Continuous Long-Term Evolution of Genetic Programming. - William B. Langdon; Wolfgang Banzhaf (ALIFE, 2019)

Putting Natural Time into Science. - Roger White; Wolfgang Banzhaf (CoRR, 2019)

Faster Genetic Programming GPquick via multicore and Advanced Vector Extensions. - William B. Langdon; Wolfgang Banzhaf (CoRR, 2019)

Batch Tournament Selection for Genetic Programming. - Vinícius Veloso de Melo; Danilo Vasconcellos Vargas; Wolfgang Banzhaf (CoRR, 2019)

Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks. - Zhichao Lu; Ian Whalen; Yashesh D. Dhebar; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf; Vishnu Naresh Boddeti (CoRR, 2019)

NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search. - Zhichao Lu; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf; Vishnu Naresh Boddeti (ECCV (1), 2020)

A modular memory framework for time series prediction. - Stephen Kelly; Jacob Newsted; Wolfgang Banzhaf; Cedric Gondro (GECCO, 2020)

NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract). - Zhichao Lu; Ian Whalen; Yashesh D. Dhebar; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf; Vishnu Naresh Boddeti (IJCAI, 2020)

A Study of Severe Disruption in an Artificial Economy. - Gustavo Recio; Wolfgang Banzhaf; Roger White (ALIFE, 2020)

Time and Individual Duration in Genetic Programming. - Francisco Fernández de Vega; Gustavo Olague; Daniel Lanza; Francisco Chávez de la O; Wolfgang Banzhaf; Erik D. Goodman; Jose Menendez-Clavijo; Axel Martinez (IEEE Access, 2020)

The Effects of Taxes on Wealth Inequality in Artificial Chemistry Models of Economic Activity. - Wolfgang Banzhaf (CoRR, 2020)

A network perspective on genotype-phenotype mapping in genetic programming. - Ting Hu 001; Marco Tomassini; Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2020)

Toward Better Evolutionary Program Repair: An Integrated Approach. - Yuan Yuan 004; Wolfgang Banzhaf (ACM Trans. Softw. Eng. Methodol., 2020)

ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming. - Yuan Yuan 004; Wolfgang Banzhaf (IEEE Trans. Software Eng., 2020)

The factory must grow: automation in Factorio. - Kenneth N. Reid; Iliya Miralavy; Stephen Kelly; Wolfgang Banzhaf; Cedric Gondro (GECCO Companion, 2021)

Evolving hierarchical memory-prediction machines in multi-task reinforcement learning. - Stephen Kelly; Tatiana Voegerl; Wolfgang Banzhaf; Cedric Gondro (Genet. Program. Evolvable Mach., 2021)

Neural Architecture Transfer. - Zhichao Lu; Gautam Sreekumar; Erik D. Goodman; Wolfgang Banzhaf; Kalyanmoy Deb; Vishnu Naresh Boddeti (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification. - Zhichao Lu; Ian Whalen; Yashesh D. Dhebar; Kalyanmoy Deb; Erik D. Goodman; Wolfgang Banzhaf; Vishnu Naresh Boddeti (IEEE Trans. Evol. Comput., 2021)

Emergent Tangled Program Graphs in Partially Observable Recursive Forecasting and ViZDoom Navigation Tasks. - Stephen Kelly; Robert J. Smith 002; Malcolm I. Heywood; Wolfgang Banzhaf (ACM Trans. Evol. Learn. Optim., 2021)

Active learning improves performance on symbolic regression tasks in StackGP. - Nathan Haut; Wolfgang Banzhaf; Bill Punch 001 (GECCO Companion, 2022)

Long-term evolution experiment with genetic programming [hot of the press]. - William B. Langdon; Wolfgang Banzhaf (GECCO Companion, 2022)

Genetic improvement in the shackleton framework for optimizing LLVM pass sequences. - Shuyue Stella Li; Hannah Peeler; Andrew N. Sloss; Kenneth N. Reid; Wolfgang Banzhaf (GECCO Companion, 2022)

Optimizing LLVM pass sequences with shackleton: a linear genetic programming framework. - Hannah Peeler; Shuyue Stella Li; Andrew N. Sloss; Kenneth N. Reid; Yuan Yuan 004; Wolfgang Banzhaf (GECCO Companion, 2022)

Correlation Versus RMSE Loss Functions in Symbolic Regression Tasks. - Nathan Haut; Wolfgang Banzhaf; Bill Punch 001 (GPTP, 2022)

Long-Term Evolution Experiment with Genetic Programming. - William B. Langdon; Wolfgang Banzhaf (Artif. Life, 2022)

From Dynamics to Novelty: An Agent-Based Model of the Economic System. - Gustavo Recio; Wolfgang Banzhaf; Roger White (Artif. Life, 2022)

Using Genetic Programming to Predict and Optimize Protein Function. - Iliya Miralavy; Alexander Bricco; Assaf A. Gilad; Wolfgang Banzhaf (CoRR, 2022)

Active Learning Improves Performance on Symbolic RegressionTasks in StackGP. - Nathan Haut; Wolfgang Banzhaf; Bill Punch 001 (CoRR, 2022)

An Artificial Chemistry Implementation of a Gene Regulatory Network. - Iliya Miralavy; Wolfgang Banzhaf (CoRR, 2022)

Evolutionary Machine Learning: A Survey. - Akbar Telikani; Amirhessam Tahmassebi; Wolfgang Banzhaf; Amir H. Gandomi (ACM Comput. Surv., 2022)

Expensive Multiobjective Evolutionary Optimization Assisted by Dominance Prediction. - Yuan Yuan 004; Wolfgang Banzhaf (IEEE Trans. Evol. Comput., 2022)

Phenotype Search Trajectory Networks for Linear Genetic Programming. - Ting Hu 001; Gabriela Ochoa; Wolfgang Banzhaf (EuroGP, 2023)

Spatial Genetic Programming. - Iliya Miralavy; Wolfgang Banzhaf (EuroGP, 2023)

MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. - Hengzhe Zhang; Qi Chen 002; Alberto Tonda; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (EuroGP, 2023)

Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. - Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (GECCO, 2023)

MOAZ: A Multi-Objective AutoML-Zero Framework. - Ritam Guha; Wei Ao; Stephen Kelly; Vishnu Boddeti; Erik D. Goodman; Wolfgang Banzhaf; Kalyanmoy Deb (GECCO, 2023)

Active Learning Informs Symbolic Regression Model Development in Genetic Programming. - Nathan Haut; Bill Punch 001; Wolfgang Banzhaf (GECCO Companion, 2023)

A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (GECCO, 2023)

How the Combinatorics of Neutral Spaces Leads Genetic Programming to Discover Simple Solutions. - Wolfgang Banzhaf; Ting Hu 001; Gabriela Ochoa (GPTP, 2023)

Accelerating Image Analysis Research with Active Learning Techniques in Genetic Programming. - Nathan Haut; Wolfgang Banzhaf; Bill Punch 001; Dirk Colbry (GPTP, 2023)

Discovering Adaptable Symbolic Algorithms from Scratch. - Stephen Kelly; Daniel S. Park; Xingyou Song; Mitchell McIntire; Pranav Nashikkar; Ritam Guha; Wolfgang Banzhaf; Kalyanmoy Deb; Vishnu Naresh Boddeti; Jie Tan 001; Esteban Real (IROS, 2023)

Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (PRICAI (2), 2023)

Iterative genetic improvement: Scaling stochastic program synthesis. - Yuan Yuan 004; Wolfgang Banzhaf (Artif. Intell., 2023)

MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (IEEE Comput. Intell. Mag., 2023)

Data Sampling via Active Learning in Cartesian Genetic Programming for Biomedical Data. - Yuri Lavinas; Nathan Haut; William Punch 001; Wolfgang Banzhaf; Sylvain Cussat-Blanc (CEC, 2024)

End-to-End Decentralized Tracking of Carbon Footprint using Internet of Things and Distributed Databases. - Salman Ali; Cedric Gondro; Qiben Yan; Wolfgang Banzhaf (CIoT, 2024)

Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (EuroGP, 2024)

Linear Genetic Programming. - Wolfgang Banzhaf; Ting Hu 001 (GECCO Companion, 2024)

On the Nature of the Phenotype in Tree Genetic Programming. - Wolfgang Banzhaf; Illya Bakurov (GECCO, 2024)

Dynamically Sampling biomedical Images For Genetic Programming. - Yuri Lavinas; Nathaniel Haut; William Punch 001; Wolfgang Banzhaf; Sylvain Cussat-Blanc (GECCO Companion, 2024)

Accelerating GP Genome Evaluation Through Real Compilation with a Multiple Program Single Data Approach. - Vinícius Veloso de Melo; Wolfgang Banzhaf; Giovanni Iacca (GECCO Companion, 2024)

LLM Fault Localisation within Evolutionary Computation Based Automated Program Repair. - Sardar Bin Murtaza; Aidan Mccoy; Zhiyuan Ren; Aidan Murphy; Wolfgang Banzhaf (GECCO Companion, 2024)

Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (GECCO, 2024)

A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (GECCO Companion, 2024)

A Distributed System for Optimization of Carbon Emitting Resource Consumption in Supply Chains. - Salman Ali; Cedric Gondro; Qiben Yan; Wolfgang Banzhaf (ISNCC, 2024)

Enhancing the Computational Efficiency of Genetic Programming Through Alternative Floating-Point Primitives. - Christopher Crary; Bogdan Burlacu; Wolfgang Banzhaf (PPSN (1), 2024)

Adaptive Sampling of Biomedical Images with Cartesian Genetic Programming. - Yuri Lavinas; Nathan Haut; William Punch 001; Wolfgang Banzhaf; Sylvain Cussat-Blanc (PPSN (1), 2024)

P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (PPSN (1), 2024)

A Spatial Artificial Chemistry Implementation of a Gene Regulatory Network Aimed at Generating Protein Concentration Dynamics. - Iliya Miralavy; Wolfgang Banzhaf (Artif. Life, 2024)

Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (CoRR, 2024)

Sharpness-Aware Minimization in Genetic Programming. - Illya Bakurov; Nathan Haut; Wolfgang Banzhaf (CoRR, 2024)

Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations. - Zhixing Huang; Yi Mei 001; Fangfang Zhang 003; Mengjie Zhang 001; Wolfgang Banzhaf (CoRR, 2024)

Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling. - Zhixing Huang; Yi Mei 001; Fangfang Zhang 003; Mengjie Zhang 001; Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2024)

A geometric semantic macro-crossover operator for evolutionary feature construction in regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (Genet. Program. Evolvable Mach., 2024)

Modular Multitree Genetic Programming for Evolutionary Feature Construction for Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

"The physics of evolution" by Michael W. Roth, Crc press, 2023. - Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2024)

Computational peptide discovery with a genetic programming approach. - Nicolas Scalzitti; Iliya Miralavy; David E. Korenchan; Christian T. Farrar; Assaf A. Gilad; Wolfgang Banzhaf (J. Comput. Aided Mol. Des., 2024)

A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

A General Feature-Informed Crossover for Two-Stage Feature Selection in Symbolic Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (CEC, 2025)

On the Effectiveness of Crossover Operators in Cartesian Genetic Programming. - Mark Kocherovsky; Marzieh Kianinejad; Illya Bakurov; Wolfgang Banzhaf (EuroGP, 2025)

A Symbolic Regression Screening Approach Within Peptide Optimisation. - Aidan Murphy; Mark Kocherovsky; Nir Dayan; Iliya Miralavy; Assaf A. Gilad; Wolfgang Banzhaf (EvoApplications (2), 2025)

How Neutrality Shapes Evolution: Simplicity Bias and Search. - Ting Hu 001; Wolfgang Banzhaf; Gabriela Ochoa (GECCO, 2025)

A comparison of tournament and lexicase selection paradigms in regression problems: error-based fitness versus correlation fitness. - Illya Bakurov; Aidan Murphy; Charles Ofria; Wolfgang Banzhaf (GECCO, 2025)

RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression. - Hengzhe Zhang; Qi Chen 002; Bing Xue 001; Wolfgang Banzhaf; Mengjie Zhang 001 (ICLR, 2025)

Bridging Fitness With Search Spaces By Fitness Supremums: A Theoretical Study on LGP. - Zhixing Huang; Yi Mei 001; Fangfang Zhang 003; Mengjie Zhang 001; Wolfgang Banzhaf (CoRR, 2025)

Using FPGA devices to accelerate the evaluation phase of tree-based genetic programming: an extended analysis. - Christopher Crary; Wesley Piard; Greg Stitt; Benjamin M. Hicks; Caleb Bean; Bogdan Burlacu; Wolfgang Banzhaf (Genet. Program. Evolvable Mach., 2025)

Open Questions about Time and Self-reference in Living Systems. - Samson Abramsky; Wolfgang Banzhaf; Leo S. D. Caves; Michael Levin; Penousal Machado; Charles Ofria; Susan Stepney; Roger White (CoRR, 2025)

Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression. - Nathan Haut; Wolfgang Banzhaf; Bill Punch 001 (IEEE Trans. Evol. Comput., 2025)