Accepted Posters

  • The review process is now over: 187 contributions have been accepted as posters. They will be published in the Companion Volume (and hence in the Digital Library) and shown during the poster session of the conference.
  • Search the list below by typing text in the column headers.
  • See also the list of accepted papers.
  • The Call for Papers and the Papers Submission Instructions are still available for your information.

List of Accepted Posters

TrackTitleAuthors
Non-Elitist Evolutionary Multi-Objective Optimisation: Proof-of-Principle ResultsZimin Liang (The University of Birmingham), Miqing Li (The University of Birmingham), Per Kristian Lehre (The University of Birmingham)
Multi-Surrogate Assisted PSO with Multiple Exemplars for Expensive Multimodal Multi-Objective OptimizationZhiming Lv (Northwest A&F University), Shuqin Li (Northwest A&F University), Hongguang Sun (Northwest A&F University), Hongming Zhang (Northwest A&F University)
Evolution Enhancing Property Price Prediction by Generating Artificial Transaction DataZheping Liu (RMIT University), Andy Song (RMIT University), Nasser Sabar (La Trobe University), Kai Qin (YepHome), Takero Izuhara (ST Solutions)
Curious-II: A Multi/Many-Objective Optimization Algorithm with Subpopulations based on Multi-novelty SearchYuzi Jiang (State Grid Information & Telecommunication Group CO.,LTD), Danilo Vargas (Kyushu University, MiraiX)
Extending MOEA/D to Constrained Multi-objective Optimization via Making Constraints an Objective FunctionYusuke Yasuda (Tokyo Metropolitan University), Kenichi Tamura (Tokyo Metropolitan University), Keiichiro Yasuda (Tokyo Metropolitan University)
A Decomposition-based Multi-modal Multi-objective Evolutionary Algorithm with Problem Transformation into Two-objective SubproblemsYusuke Nojima (Osaka Metropolitan University), Yuto Fujii (Osaka Prefecture University), Naoki Masuyama (Osaka Metropolian University), Yiping Liu (Hunan University), Hisao Ishibuchi (Southern University of Science and Technology)
Stability, Entropy and Performance in PSOYurdusev AKAN (The University of Edinburgh), J. Michael Herrmann (The University of Edinburgh)
Modularity Based Linkage Model For NeuroevolutionYukai Qiao (University of Queensland), Marcus Gallagher (University of Queensland)
EMODiffusely Distributed Parallelization of MOEA/D with Edge Weight Vectors SharingYuji Sato (Hosei University), Mads Midtlyng (Hosei University), Mikiko Sato (Tokai University)
Nearest better network for visualization of the fitness landscapeYiya Diao (China University of Geosciences), Changhe Li (China University of Geosciences, School of Automation), Sanyou Zeng (China University of Geosciences, School of Mechanical Engineering and Electronic Information), Shengxiang Yang (De Montfort University, School of Computer Science and Informatics)
A Cluster-Based Multiobjective Optimization Algorithm for VRPSTW with Salary BalanceYi Mao (South China NormalUniversity), Jingjing Li (South China NormalUniversity), Na Tang (South China NormalUniversity)
Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based ProblemsYi Liu (Zhejiang Lab), Yu Cui (Zhejiang Lab), Will Browne (Queensland University of Technology), Bing Xue (Victoria University of Wellington), Wen Cheng (Zhejiang Lab), Yong Li (Zhejiang Lab), Lingfang Zeng (Zhejiang Lab)
Explaining Memristive Reservoir Computing Through Evolving Feature AttributionXinming Shi (Southern University of Science and Technology, University of Birmingham), Zilu Wang (Southern University of Science and Technology), Leandro Minku (University of Birmingham), Xin Yao (Southern University of Science and Technology, University of Birmingham)
Experimental Analyses of Crossover and Diversity on JumpXiaoyue Li (Hasso Plattner Institute, University of Potsdam), Timo Kötzing (Hasso Plattner Institute, University of Potsdam)
Interactive GA Approach for Video Digest SuggestionWooseok Song (Gwangju Institute of Science and Technology), Chang Wook Ahn (Gwangju Institute of Science and Technology)
Evolving Robust Facility PlacementsWilliam Thompson (Univerisity of Vermont), Alex Friedrichsen (University of Vermont), Chris Danforth (University of Vermont), Peter Dodds (University of Vermont), Nick Cheney (University of Vermont)
Optimized hybrid imbalanced data sampling for decision tree trainingWeronika Węgier (Wroclaw University of Technology), Michał Koziarski (Wroclaw University of Technology), Michał Woźniak (Wroclaw University of Technology)
GP with Ranging-Binding Technique for Symbolic RegressionWen-Zhong Fang (National Taiwan University), Chi-Hsien Chang (National Taiwan University), Jung-Chun Liu (National Taiwan University), Tian-Li Yu (National Taiwan University)
Evolution of an Internal Reward Function for Reinforcement LearningWeiyi Zuo (University of Chinese Academy of Sciences), Joachim Pedersen (IT University of Copenhagen), Sebastian Risi (IT University of Copenhagen)
Genetically Improved Software with fewer Data Cache Missesw. langdon (ucl), Justyna Petke (UCL), Aymeric Blot (univ-littoral), David Clark (ucl)
GAOn the Effect of Temporal Heterogeneity on Selection Pressure of Evolutionary AlgorithmsVictor Sanchez Sanchez (Universidad Nacional Autonoma de Mexico), Carlos Gershenson Garcia (Universidad Nacional Autonoma de Mexico), Carlos Hernandez Castellanos (Universidad Nacional Autonoma de Mexico)
Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution StrategiesVictor Costa (University of Coimbra), Nuno Lourenço (University of Coimbra), João Correia (University of Coimbra), Penousal Machado (University of Coimbra)
EMOA Generalized Circular Supply Chain Problem for Multi-objective Evolutionary AlgorithmsTobias Benecke (Otto von Guericke University), Oliver Antons (Otto von Guericke University), Sanaz Mostaghim (Otto von Guericke University), Julia Arlinghaus (Otto von Guericke University)
CSMulti-Task Multi-Behavior MAP-ElitesTimothée Anne (Université de Lorraine, Inria), Jean-Baptiste Mouret (Inria)
Sparse Mutation Decompositions: Fine Tuning Deep Neural Networks with Subspace EvolutionTim Whitaker (Colorado State University), Darrell Whitley (Colorado State University)
Two-point Crossover Operator in Genetic Algorithm for Deep Learning CompilerTianyi Zhou (jiangnan university), Fang Wei (jiangnan university)
Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility PredictionThomas Feutrier (University of Lille, Universite de Lille), Nadarajen Veerapen (Université de Lille), Marie-Eleonore Kessaci (Université de Lille)
A New Metaheuristic-Algorithm Similarity Measure Using Signal Flow DiagramsThimershen Achary (University of KwaZulu-Natal), Anban Pillay (University of KwaZulu-Natal), Edgar Jembere (University of KwaZulu-Natal)
SBSEA Novel Fitness Function for Automated Software Test Case Generation Based on Nested Constraint HardnessThi-Mai-Anh Bui (SOICT/HUST), Quoc-Trung Bui (SOICT/HUST), Van-Tri Do (SOICT/HUST)
RWAEnergy-aware metaheuristic for virtual machine placement towards a green cloud computingTakwa Tlili (University of Tunis), Saoussen Krichen (University of Tunis)
ECOMApplying an Evolutionary Algorithm to Compare Fix and Flex Grid Technologies in New Generation Optical NetworksStanislaw Kozdrowski (Warsaw University of Technology), Pawel Krysztofik (Warsaw University of Technology)
Development of forked divergence particle swarm optimizationSo Fukuhara (Kagawa University), Masao Arakawa (Kagawa University)
Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free LearningSimón Smith (Imperial College, Edinburgh Napier University), Bryan Lim (Imperial College), Hannah Janmohamed (Imperial College), Antoine Cully (Imperial College)
Drivers of Replicator Organisation in the Nanopond Artificial ChemistrySimon Hickinbotham (University of York)
Prompt-Guided Level GenerationShyam Sudhakaran (IT University of Copenhagen), Miguel González-Duque (IT University of Copenhagen), Claire Glanois (IT University of Copenhagen), Matthias Freiberger (IT University of Copenhagen), Elias Najarro (IT University of Copenhagen), Sebastian Risi (IT University of Copenhagen, modl.ai)
A Memetic Algorithm to Solve the Robust Influence Maximization Problems against Cascading FailuresShun Cai (Sun Yat-sen University), Shuai Wang (Sun Yat-sen University), Zhaoxi Ou (Sun Yat-sen University)
ECOMGenerating Competitive Solutions for Uncapacitated Facility Location Problem by Learning from Small InstancesShuaixiang Zhang (Southern University of Science and Technology), Hao Tong (Southern University of Science and Technology), JiaLin Liu (Southern University of Science and Technology), Xin Yao (Southern University of Science and Technology)
Adaptive Particle Swarm Optimization with Local Search for Multi-robot Multi-point Dynamic AggregationShihao Dai (South China University of Technology, Pazhou Lab), Ya-Hui Jia (South China University of Technology, Pazhou Lab), Wei-Neng Chen (South China University of Technology), Yi Mei (Victoria University of Wellington)
A Fuzzy Decision Variables Framework Based on Directed Sampling for Large-scale Multiobjective OptimizationShi-Ting Wang (Xiangtan University), Jin-Hua Zheng (Xiangtan University), Juan Zou (Xiangtan University), Yuan Liu (Xiangtan University), Sheng-Xiang Yang (De Montfort University), Ying-Jie Zou (Xiangtan University)
NEA Transformer-based Neural Architecture Search MethodShang Wang (Xiangtan University), Huanrong Tang (Xiangtan University), Jianquan Ouyang (Xiangtan University)
A Neural Architecture Search Method using Auxiliary Evaluation Metric based on ResNet ArchitectureShang Wang (Xiangtan University), Huanrong Tang (Xiangtan University), Jianquan Ouyang (Xiangtan University)
Theoretical Limits on the Success of Lexicase Selection Under Contradictory ObjectivesShakiba Shahbandegan (Michigan State University), Emily Dolson (Michigan State University)
Evolution Strategies with Seed Mirroring and End TournamentSean Soleyman (HRL Laboratories, LLC), Joshua Fadaie (HRL Laboratories, LLC), Fan Hung (HRL Laboratories, LLC), Deepak Khosla (HRL Laboratories, LLC)
On the Global Structure of PUBOi Fitness LandscapesSara Tari (Université du Littoral Côte d'Opale), Gabriela Ochoa (University of Stirling), Matthieu Basseur (Université du Littoral Côte d'Opale), Sébastien Verel (Université du Littoral Côte d'Opale)
ECOMA Hybrid BRKGA for Joint Scheduling Production, Transport, and Storage/Retrieval in Flexible Job ShopsS. Mahdi Homayuni (CESE- INESC TEC), Dalila Fontes (LIAAD - INESC TEC, Faculdade de Economia da Universidade do Porto), Fernando Fontes (SYSTEC/ARISE; Faculdade de Engenharia, Universidade do Porto)
NEEvolving Better Initializations For Neural Networks With PruningRyan Zhou (Queen's University), Ting Hu (Queen's University)
Efficient Quality-Diversity Optimization through Diverse Quality SpeciesRyan Wickman (University of Memphis), Bibek Poudel (University of Memphis), Taylor Villarreal (University of Memphis), Xiaofei Zhang (University of Memphis), Weizi Li (University of Memphis)
Performance Analysis of Hybrid Sampling and Meta-heuristicsRyan Lang (Stellenbosch University), Andries Engelbrecht (Stellenbosch University, Gulf University of Science and Technology)
The Problem Solving Benefits of Down-Sampling Vary by Selection SchemeRyan Boldi (University of Massachusetts Amherst), Ashley Bao (Amherst College), Martin Briesch (Johannes Gutenberg-Universität), Thomas Helmuth (Hamilton College), Dominik Sobania (Johannes Gutenberg-Universität), Lee Spector (Amherst College, University of Massachusetts Amherst), Alexander Lalejini (Grand Valley State University)
GPA Static Analysis of Informed Down-SamplesRyan Boldi (University of Massachusetts Amherst), Alexander Lalejini (Grand Valley State University), Thomas Helmuth (Hamilton College), Lee Spector (Amherst College)
Multi-Objective Artificial Bee Colony for Assembly Flexible Job Shop with Transportation and Setup TimesRunxin Han (Shandong Normal University), Junqing Li (Shandong Normal University), Xiumei Xiao (Yunnan Normal University)
A Comprehensive Pragmatic Investigation of Batched Acquisition Functions in Bayesian OptimizationRuizhe Zhou (South China University of Technology), Jinghui Zhong (South China University of Technology)
Towards a General Boolean Function Benchmark SuiteRoman Kalkreuth (Leiden Institute of Advanced Computer Science), Zdeněk Vašíček (Brno University of Technology), Jakub Husa (Brno University of Technology), Diederick Vermetten (Leiden Institute of Advanced Computer Science), Furong Ye (Leiden Institute of Advanced Computer Science), Thomas Bäck (Leiden Institute of Advanced Computer Science)
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classificationRoberto Santana (University of the Basque Country), Iván Hidago-Cenalmor (University of the Basque Country), Unai Garciarena (University of the Basque Country), Alexander Mendiburu (University of the Basque Country), Jose Lozano (University of the Basque Country)
An Evolutionary Strategy for Automatic Hypotheses Generation inspired by Abductive ReasoningRoberto Pietrantuono (Universitá degli Studi di Napoli)
NEevosax: JAX-Based Evolution StrategiesRobert Lange (Technical Univ. Berlin)
Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling ProblemsRobbert Reijnen (Technical University of Eindhoven), Yingqian Zhang (Technical University of Eindhoven), Zaharah Bukhsh (Technical University of Eindhoven), Mateusz Guzek (Goodyear Innovation Center Luxembourg)
ENUMInvestigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer ProblemsRaphael Prager (University of Münster), Heike Trautmann (University of Münster, University of Twente)
A Novel Approach for Texture Defect Detection using Statistical Features and a Bio-Inspired AlgorithmRahul Sharma (National Institute of Technology Goa), Venkatanareshbabu Kuppili (National Institute of Technology Goa)
GPIterative Structure-Based Genetic Programming for Neural Architecture SearchRahul Kapoor (University of Pretoria), Nelishia Pillay (University of Pretoria)
Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources SchedulingRafael Poppenborg (Karlsruhe Institute of Technology), Kaleb Phipps (Karlsruhe Institute of Technology), Hatem Khalloof (Karlsruhe Institute of Technology), Kevin Förderer (Karlsruhe Institute of Technology), Ralf Mikut (Karlsruhe Institute of Technology), Veit Hagenmeyer (Karlsruhe Institute of Technology)
Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature ExtractorsRachit Kumar (Perelman School of Medicine at the University of Pennsylvania), Joseph Romano (Perelman School of Medicine at the University of Pennsylvania), Marylyn Ritchie (Perelman School of Medicine at the University of Pennsylvania), Jason Moore (Cedars-Sinai Medical Center)
A New Genetic Programming Representation for Feature Learning in Skin Cancer DetectionQurrat Ain (Victoria University of Wellington), Harith Al-Sahaf (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington)
A Novel Quadtree-Based Genetic Programming Search for Searchable Encryption OptimizationPo-wei Harn (Auburn University), Bo Hui (Auburn University), Sai Deepthi Yeddula (Auburn University), Libo Sun (Auburn University), Min-Te Sun (National Central University), Wei-Shinn Ku (Auburn University)
Synthesizing Effective Diagnostic Models from Small Samples using Structural Machine Learning: a Case Study in Automating COVID-19 DiagnosisPiotr Kaszuba (Hylomorph Solutions Ltd.), Andrew Turner (Hylomorph Solutions Ltd.), Bartosz Mikulski (Hylomorph Solutions Ltd.), NL Shasha Jumbe (Level 42 AI, Inc.), Andreas Schuh (Level 42 AI, Inc.), Michael Morimoto (Level 42 AI, Inc.), Peter Rexelius (Level 42 AI, Inc.), Ryan Hafen (Level 42 AI, Inc.), Ron Deiotte (ISSAC Corp), Kevin Hammond (Hylomorph Solutions Ltd.), Jerry Swan (University of York), Krzysztof Krawiec (Poznan University of Technology, Hylomorph Solutions Ltd.)
Evolutionary Algorithms for Segment Optimization in Vectorial GPPhilipp Fleck (University of Applied Sciences Upper Austria), Stephan Winkler (University of Applied Sciences Upper Austria), Michael Kommenda (University of Applied Sciences Upper Austria), Sara Silva (Universidade de Lisboa), Leonardo Vanneschi (Universidade Nova de Lisboa), Michael Affenzeller (University of Applied Sciences Upper Austria)
Diversity-driven Multi-population Particle Swarm Optimization for Dynamic Optimization ProblemPei-Yao Zhu (South China University of Technology), Sheng-Hao Wu (South China University of Technology), Ke-Jing Du (Victoria University), Hua Wang (Victoria University), Jun Zhang (Victoria University), Zhi-Hui Zhan (South China University of Technology)
Do Random and Chaotic Sequences Really Cause Different PSO Performance?Paul Nörenberg (HTWK Leipzig University of Applied Sciences), Hendrik Richter (HTWK Leipzig University of Applied Sciences)
Approximating the Boundaries of Unstable Nuclei Using Analytic Continued FractionsPablo Moscato (The University of Newcastle), Rafael Grebogi (The University of Newcastle)
EMLA Parallelized Genitor II Implementation For Training Semiring Neural NetworksOlena Horokh (Technische Universität Dresden), Martin Böhm (Martin-Luther-Universität Halle-Wittenberg), Thomas Schmid (Martin-Luther-Universität Halle-Wittenberg, Universität Leipzig)
Controlling Hybrid Evolutionary Algorithms in Subset Selection for Multimodal OptimizationOle Jakob Mengshoel (Norwegian University of Science and Technology), Fredrik Foss (DNB, Norwegian University of Science and Technology), Xavier Sánchez Díaz (Norwegian University of Science and Technology)
GPPerformance Analysis of Self-Supervised Strategies for Standard Genetic ProgrammingNuno Rodrigues (LASIGE), José Almeida (Champalimaud Research), Sara Silva (LASIGE)
LGP-VEC: A Vectorial Linear Genetic Programming for Symbolic RegressionNikola Gligorovski (South China University of Technology), Jinghui Zhong (South China University of Technology)
Fast Collective Decision-Making without Prior KnowledgeNicolas Cambier (Vrije Universiteit Amsterdam), Eliseo Ferrante (Technology Innovation Institute, Vrije Universiteit Amsterdam)
Active Learning Informs Symbolic Regression Model Development in Genetic ProgrammingNathan Haut (Michigan State University), Bill Punch (Michigan State University), Wolfgang Banzhaf (Michigan State University)
Augmentative Topology Agents For Open-Ended LearningMuhammad Nasir (University of the Witwatersrand), Michael Beukman (University of the Witwatersrand), Steven James (University of the Witwatersrand), Christopher Cleghorn (University of the Witwatersrand)
Designing Convolutional Neural Networks using Surrogate assisted Genetic Algorithm for Medical Image ClassificationMuhammad Junaid Ali (Université de Haute-Alsace), Laurent Moalic (Université de Haute-Alsace), Mokhtar Essaid (Université de Haute-Alsace), Lhassane Idoumghar (Université de Haute-Alsace)
EMOSurrogate-Assisted NSGA-II Algorithm for Expensive Multiobjective OptimizationMouadh Yagoubi (IRT SystemX), Hiba Bederina (/)
Improved Multi-Objective Data Stream Clustering with Time and Memory OptimizationMohammed Attaoui (University of Luxembourg, Université Sorbonne Paris Nord), Hanene Azzag (Université Sorbonne Paris Nord), Mustapha Lebbah (DAVID Lab, Université de Versailles, Université Paris-Saclay; Université Sorbonne Paris Nord)
Solving the Multitasking Robust Influence Maximization Problem on Networks using a Multi-factorial Evolutionary AlgorithmMinghao Chen (Sun Yat-sen University), Shuai Wang (Sun Yat-sen University), Shun Cai (Sun Yat-sen University)
Variable neighborhood search for solving the -domination problemMilan Predojević (University of Banja Luka), Aleksandar Kartelj (University of Belgrade), Marko Djukanović (University of Banja Luka)
Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation DiscoveryMikhail Maslyaev (ITMO University), Alexander Hvatov (ITMO University)
Multi-Objective Optimization on Autoencoder for Feature Encoding and Attack Detection on Network DataMiguel Leon (Malardalen University), Tijana Markovic (Malardalen University), Sasikumar Punnekkat (Malardalen University)
A multi-policy sequence-based selection hyper-heuristic for multi-objective optimizationMichele Urbani (University of Trento), Francesco Pilati (University of Trento)
Automated algorithm composition of unsupervised image clustering algorithmsMia Gerber (University of Pretoria), Nelishia Pillay (University of Pretoria)
An analysis of choice functions for Fuzzy ART using grammatical evolutionMia Gerber (University of Pretoria), Nelishia Pillay (University of Pretoria)
Multi-Objective Genetic Programming based on Decomposition on Evolving Scheduling Heuristics for Dynamic SchedulingMeng Xu (Victoria University of Wellington), Yi Mei (Victoria University of Wellington), Fangfang Zhang (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington)
NEGenerative Adversarial Neuroevolution for Control Behaviour ImitationMaximilien Le Clei (Montreal Geriatric Institute), Pierre Bellec (Montreal Geriatric Institute)
Using Evolutionary Computation to Find Parameters that Promote Egalitarian Major Evolutionary TransitionsMax Foreback (Michigan State University), Sydney Leither (Michigan State University), Emily Dolson (Michigan State University)
Interactive Evolutionary Computation for Strategy Discovery in Multi-Phase OperationsMartin Masek (Edith Cowan University), Luke Kelly (Edith Cowan University), Jacob Snell (Edith Cowan University), Daniel Wheat (Edith Cowan University), Chiou Peng Lam (Edith Cowan University)
On the Trade-Off between Population Size and Number of Generations in GP for Program SynthesisMartin Briesch (University of Mainz), Dominik Sobania (University of Mainz), Franz Rothlauf (University of Mainz)
GECHELEA - Build your own Evolutionary Algorithm in your BrowserMarkus Wagner (Monash University), Erik Kohlros (Hasso Plattner Institute, University of Potsdam), Gerome Quantmeyer (Hasso Plattner Institute, University of Potsdam), Timo Kötzing (Hasso Plattner Institute, University of Potsdam)
A Preference-based Activity Scheduling Algorithm Using Many-objective OptimizationMarkus Rothkötter (Otto-von-Guericke University), Sanaz Mostaghim (Otto-von-Guericke University)
Automated design of relocation rules for minimising energy consumption in the container relocation problemMarko Đurasević (University of Zagreb Faculty of Electrical Engineering and Computing), Mateja Đumić (Department of Mathematics, Josip Juraj Strossmayer University of Osijek), Rebeka Čorić (Department of Mathematics, Josip Juraj Strossmayer University of Osijek), Francisco Javier Gil-Gala (University of Oviedo. Department of Computing)
Does size matter? On the influence of ensemble size on constructing ensembles of dispatching rulesMarko Durasevic (University of Zagreb Faculty of Electrical Engineering and Computing), Francisco Javier Gil-Gala (University of Oviedo. Department of Computing), Domagoj Jakobović (University of Zagreb Faculty of Electrical Engineering and Computing)
Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean FunctionsMarko Durasevic (University of Zagreb Faculty of Electrical Engineering and Computing), Domagoj Jakobovic (University of Zagreb Faculty of Electrical Engineering and Computing), Luca Mariot (Semantics, Cybersecurity & Services Group, University of Twente, The Netherlands), Stjepan Picek (Digital Security Group, Radboud University, Nijmegen, The Netherlands)
Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-OptimisationMario Hevia Fajardo (University of Birmingham), Per Kristian Lehre (University of Birmingham), Shishen Lin (University of Birmingham)
Evolution of Editing Scripts From ExamplesMarek Sedlacek (Brno University of Technology), Lukas Sekanina (Brno University of Technology)
A Simple and Efficient Heuristic for Reducing Vulnerability of Complex Networks to Malicious Link AttacksMarco Tomassini (University of Lausanne)
Scalable Neuroevolution of Ensemble LearnersMarcel Merten (University of Bremen), Rune Krauss (University of Bremen), Rolf Drechsler (University of Bremen, DFKI)
Revealing the Inner Dynamics of Evolutionary Algorithms with Convection SelectionMaciej Komosinski (Poznan University of Technology), Konrad Miazga (Poznan University of Technology)
Simulated Annealing Algorithm for the Bounded Diameter Minimum Spanning Tree ProblemLi Hong (Fujian Agriculture and Forestry University), Yiwen Zhong (Fujian Agriculture and Forestry University), Juan Lin (Fujian Agriculture and Forestry University)
Addressing the Health Versus Economy Dilemma in Data-Driven Policymaking During a PandemicLewis Hotchkiss (Swansea University), Alma Rahat (Swansea University)
Evolutionary Neural Networks for Livestock Disease PreventionKrzysztof Michalak (Wroclaw University of Economics and Business), Mario Giacobini (Department of Veterinary Sciences, University of Torino, Torino, Italy)
EMLFrom Random Forest to an interpretable decision tree - An evolutionary approachKrzysztof Jurczuk (Bialystok University of Technology), Marcin Czajkowski (Bialystok University of Technology), Marek Kretowski (Bialystok University of Technology)
Controllable Exploration of a Design Space via Interactive Quality DiversityKonstantinos Sfikas (University of Malta), Antonios Liapis (University of Malta), Georgios Yannakakis (University of Malta)
NEQuality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally importantKonstantinos Christou (CYENS Centre of Excellence), Chris Christodoulou (University of Cyprus), Vassilis Vassiliades (CYENS Centre of Excellence)
Decision Trees+Evolutionary Algorithm for Predict then OptimizeKevin Lagos (Universidad Tecnica Federico Santa Maria), Andres Navarro (Universidad Tecnica Federico Santa Maria), Felipe Dumont (Universidad Tecnica Federico Santa Maria), Maria-Cristina Riff (Universidad Tecnica Federico Santa Maria)
GPDistilSR: A Distilled Version of Gene Expression Programming Symbolic RegressionKei Sen Fong (National University of Singapore), Mehul Motani (National University of Singapore)
Utilizing the Expected Gradient in Surrogate-assisted Evolutionary AlgorithmsKei Nishihara (Yokohama National University), Masaya Nakata (Yokohama National University)
A Comparison of Structural Complexity Metrics for Explainable Genetic ProgrammingKarina Brotto Rebuli (University of Torino), Mario Giacobini (University of Torino), Sara Silva (University of Lisbon), Leonardo Vanneschi (Universidade Nova de Lisboa)
RWAGenerative Meta-Learning Robust Quality-Diversity PortfolioKamer Yuksel (aiXplain, inc.)
High Dimensional Many Objective Optimisation through Diverse Creation and Categorisation of Reference VectorsKai Wu (The University of Sheffield), George Panoutsos (The University of Sheffield)
Neuroevolution for Autonomous Cyber DefenseKade Heckel (University of Sussex)
AutoQUBO v2: Towards Efficient and Effective QUBO Formulations for Ising MachinesJustin Pauckert (Fujitsu Research of Europe, Technical Univ. Berlin), Mayowa Ayodele (Fujitsu Research of Europe), Marcos García (Fujitsu Research of Europe), Serban Georgescu (Fujitsu Research of Europe), Matthieu Parizy (Fujitsu Ltd)
Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free EstimationJunhao Huang (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Yanan Sun (Sichuan University), Mengjie Zhang (Victoria University of Wellington)
Two-Level Algorithm Combining Bayesian Optimization and Swarm Intelligence for Variable-Size Optimal Layout ProblemsJuliette Gamot (ONERA, Inria), Mathieu Balesdent (ONERA), Romain Wuilbercq (ONERA), Arnault Tremolet (ONERA), Nouredine Melab (Inria), El-Ghazali Talbi (Inria)
Performance Comparison of Steady State GAs and Generational GAs for Capacitated Vehicle Routing ProblemsJose Quevedo (The University of Rhode Island), Maximilian Heer (The University of Rhode Island), Marwan Abdelatti (The University of Rhode Island), Resit Sendag (The University of Rhode Island), Manbir Sodhi (The University of Rhode Island)
Simultaneous Evolutionary Optimization of Features Subset and Clusters NumberJosé David Martín (NTT Data), Beatriz Pontes (University of Seville), José C. Riquelme (University of Seville)
Creative Discovery using Qality-Diversity SearchJon McCormack (Monash University), Camilo Cruz Gambardella (Monash), Stephen Krol (Monash University)
CSThe Struggle for Existence: Time, Memory and BoatJohn Stevenson (Long Beach Institute)
Diversity Search for the Generation of Diverse Grasping TrajectoriesJohann Huber (Sorbonne Université, Institut des Systèmes Intelligents et de Robotique), Oumar Sane (Sorbonne Université, Institut des Systèmes Intelligents et de Robotique), Miranda Coninx (Sorbonne Université, Institut des Systèmes Intelligents et de Robotique), Faïz Ben Amar (Sorbonne Université, Institut des Systèmes Intelligents et de Robotique), Stéphane Doncieux (Sorbonne Université, Institut des Systèmes Intelligents et de Robotique)
An analysis of heuristic templates in Genetic Programming for one-dimensional cutting and packing problemsJesús Quesada (University of Oviedo), Francisco Javier Gil-Gala (University of Oviedo), Marko Durasevic (University of Zagreb), María Sierra (University of Oviedo), Ramiro Varela (University of Oviedo)
The Influence of Probabilistic Grammars on EvolutionJessica Mégane (University of Coimbra), Nuno Lourenço (University of Coimbra), Penousal Machado (University of Coimbra), Dirk Schweim (University of Applied Sciences Mainz)
GAOptimization of MFCCs for Time Signature Detection Using Genetic AlgorithmJeremiah Abimbola (Silesian University of Technology), Daniel Kostrzewa (Silesian University of Technology), Pawel Kasprowski (Silesian University of Technology)
A Selection Hyper-Heuristic for Transfer Learning in Genetic ProgrammingJeffrey Russell (University of Pretoria), Nelishia Pillay (University of Pretoria)
CSFast generation of centroids for MAP-ElitesJean-Baptiste Mouret (Inria, CNRS / Université de Lorraine)
RWAMinimizing Black Boxes due to Polynomial-Model-Based OptimizationJanina Schreiber (CASUS – Center for Advanced Systems Understanding Helmholtz-Zentrum Dresden-Rossendorf e.V. (HZDR)), Damar Wicaksono (CASUS – Center for Advanced Systems Understanding Helmholtz-Zentrum Dresden-Rossendorf e.V. (HZDR)), Michael Hecht (CASUS – Center for Advanced Systems Understanding Helmholtz-Zentrum Dresden-Rossendorf e.V. (HZDR))
EMOMastering Stochastic Partially Observable Asymmetrical Multi-Agent Game with Rolling Horizon Evolution AlgorithmJames Chao (NIWC Pacific), Lance Nakamoto (NIWC Pacific)
Computational and Exploratory Landscape Analysis of the GKLS GeneratorJakub Kudela (Brno University of Technology), Martin Juricek (Brno University of Technology)
Evolutionary Optimization of a Focused Ultrasound Propagation Predictor Neural NetworkJakub Chlebik (Brno University of Technology, Faculty of Information Technology), Jiri Jaros (Brno University of Technology, Faculty of Information Technology)
Re-Evaluating Algorithm Variations Using Empirical SimilarityJair Pereira Junior (University of Tsukuba), Claus Aranha (University of Tsukuba)
Many-objective Optimization via Voting for ElitesJackson Dean (University of Vermont), Nick Cheney (University of Vermont)
Ant Colony Optimization with Pre-exploration of Outliers for TSPHaoyu Meng (Central China Normal University), Jinglei Guo (Central China Normal University), Zeyuan Shi (Central China Normal University)
Evolutionary Pruning of Deep Convolutional Networks by a Memetic GA with Sped-Up Local Optimization and GLCM Energy Z-ScoreHa Hyun Cho (Seoul National University), Han Joon Byun (Seoul National University), Min Kee Kim (Seoul National University), Joon Huh (Seoul National University), Byung-Ro Moon (Seoul National University)
Multiobjective coevolutionary training of Generative Adversarial NetworksGuillermo Ripa (Universidad de la República), Agustín Mautone (Universidad de la República), Andrés Vidal (Universidad de la República), Sergio Nesmachnow (Universidad de la República), Jamal Toutouh (University of Málaga, Massachusetts Institute of Technology)
Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent.Gloria Pietropolli (University of Trieste), Federico Julian Camerota Verdù (University of Trieste), Luca Manzoni (University of Trieste), Mauro Castelli (Universidade Nova de Lisboa)
Inequality and the Emergence of Social StratificationGeoff Nitschke (University of Cape Town), Brandon Gower-Winter (University of Cape Town)
Evolving Herding Behaviour Diversity in Robot SwarmsGeoff Nitschke (UCT), Scott Hallauer (UCT), Emma Hart (Edinburgh Napier University)
Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent EnvironmentsGautier Hamon (Inria), Eleni Nisioti (Inria), Clément Moulin-Frier (Inria)
Hierarchical Frames-of-References in Learning Classifier SystemsFumito Uwano (Okayama University), Will Browne (Queensland University of Technology)
An analysis of training models to evolve heuristics for the travelling salesman problemFrancisco Javier Gil Gala (University of Oviedo), Marko Durasevic (University of Zagreb), Mateja Dumic (Josip Juraj Strossmayer University of Osijek), Rebeka Coric (Josip Juraj Strossmayer University of Osijek), Domagoj Jakobovic (University of Zagreb)
Exploring the Potential of JuLeS: A White Box Framework for Local Search MetaheuristicsFrancesca Da Ros (Università degli Studi di Udine, IOLab), Luca Di Gaspero (Università degli Studi di Udine, IOLab)
A Distributed Multilevel Memetic Algorithm for Signed Graph ClusteringFelix Hausberger (Heidelberg University), Marcelo Fonseca Faraj (Heidelberg University), Christian Schulz (Heidelberg University)
Hybrid Multi-Objective Genetic Programming for Parameterized Quantum Operator DiscoveryFelix Gemeinhardt (Johannes Kepler Universität Linz), Stefan Klikovits (Johannes Kepler Universität Linz), Manuel Wimmer (Johannes Kepler Universität Linz)
An adaptive sparse large-scale multiobjective evolutionary algorithmFeiyue Qiu (Zhejiang University of Technology), Huizhen Hu (Zhejiang University of Technology), Jin Ren (Zhejiang University of Technology), Liping Wang (Zhejiang University of Technology), Qicang Qiu (Zhejiang Lab)
An Investigation of Terminal Settings on Multitask Multi-objective Dynamic Flexible Job Shop Scheduling with Genetic ProgrammingFangfang Zhang (Victoria University of Wellington), Yi Mei (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington)
Fighting Underspecification in Symbolic Regression with Fitness SharingFabricio de Franca (Universidade Federal do ABC)
ECOMTraining Agents for Unknown Logistics ProblemsElisa Schmidt (Leibniz University Hannover), Matthias Becker (Leibniz University Hannover)
RWAOptimising Ferroelectric Thin Films with Evolutionary ComputationEléonore Vissol-Gaudin (Nanyang Technological University), Yee-Fun Lim (Intitute of Materials Research and Engineering, A*STAR), Kedar Hippalgaonkar (Nanyang Technological University, A*STAR)
GPEvolving Nonlinear Multigrid Methods With Grammar-Guided Genetic ProgrammingDinesh Parthasarathy (University of Erlangen-Nuremberg), Jonas Schmitt (University of Erlangen-Nuremberg), Harald Köstler (University of Erlangen-Nuremberg)
An Adaptive Sequence-Based Selection Hyper-Heuristic for Application to Electric Bus SchedulingDarren Chitty (University of Exeter), James Lewis (City Science), Ed Keedwell (University of Exeter)
Phased Genetic Programming for Application to the Traveling Salesman ProblemDarren Chitty (University of Exeter), Ed Keedwell (University of Exeter)
MNDE: Node-depth encoding can do better in evolutionary multitask algorithmsDao Tran Cong (FPT Software AI Center), Anh Do Tuan (Hanoi University of Science and Technology), Binh Huynh Thi Thanh (Hanoi University of Science and Technology), Anh Do Duc (Hanoi University of Science and Technology), Bang Ban Ha (Hanoi University of Science and Technology), Su Nguyen (La Trobe University)
Spacecraft Swarm Orbital Formation Optimisation Using Evolutionary TechniquesDaniel Stolfi (University of Luxembourg), Grégoire Danoy (University of Luxembourg)
An Iterative Machine Learning Approach to Informative Performance Reporting in Dynamic Multi-Objective OptimizationDaniel Herring (The University of Birmingham, The University of Melbourne), Michael Kirley (The University of Melbourne), Xin Yao (The University of Birmingham)
CSCoping with seasons: evolutionary dynamics of gene networks in a changing environmentCsenge Petak (University of Vermont), Lapo Frati (University of Vermont), Melissa Pespeni (University of Vermont), Nick Cheney (University of Vermont)
Knowledge Shaped Behavior Generation for Online AdaptationConnor Yates (Oregon State University), Kagan Tumer (Oregon State University)
Learning Behavior Trees by Evolution-Inspired ApproachesChuanshuai Deng (Defense Innovation Institute, University of Electronic Science and Technology of China), Chenjing Zhao (Defense Innovation Institute), Zhenghui Liu (Intelligent Game and Decision Lab, Tianjin Artificial Intelligence Innovation Center), Jiexin Zhang (Intelligent Game and Decision Lab, Tianjin Artificial Intelligence Innovation Center), Yunlong Wu (Intelligent Game and Decision Lab, Tianjin Artificial Intelligence Innovation Center), Yanzhen Wang (Intelligent Game and Decision Lab, Tianjin Artificial Intelligence Innovation Center), Hong Cheng (University of Electronic Science and Technology of China), Xiaodong Yi (Intelligent Game and Decision Lab, Tianjin Artificial Intelligence Innovation Center)
RWATowards Optimized Schedules for Charging Electric Vehicles on Austrian Highways using Genetic AlgorithmsChristian Stippel (Vienna University of Technology), Benjamin Schwendinger (Vienna University of Technology), Michael Kammerhofer (Vienna University of Technology), Ralph Hoch (Vienna University of Technology), Hermann Kaindl (Danube University Krems), Thilo Sauter (Vienna University of Technology, Danube University Krems)
RWAEA-based smartwatch application for training and assistance in cardiopulmonary resuscitationChristian Lins (Hamburg University of Applied Sciences), Erik Berwald (Carl von Ossietzky University Oldenburg), Andreas Klausen (Carl von Ossietzky University Oldenburg), Andreas Hein (Carl von Ossietzky University Oldenburg, OFFIS - Institute for Information Technology), Sebastian Fudickar (Unversität zu Lübeck)
Taylor Polynomial Enhancer using Genetic Programming for Symbolic RegressionChi-Hsien Chang (National Taiwan University), Tu-Chin Chiang (National Taiwan University), Tzu-Hao Hsu (National Taiwan University), Ting-Shuo Chuang (National Taiwan University), Wen-Zhong Fang (National Taiwan University), Tian-Li Yu (National Taiwan University)
GECHTowards Self-Adjusting Weighted Expected Improvement for Bayesian OptimizationCarolin Benjamins (Leibniz University Hannover), Elena Raponi (Technical University Munich, Sorbonne University), Anja Jankovic (Sorbonne University), Carola Doerr (Sorbonne University), Marius Lindauer (Leibniz University Hannover)
Modeling Strong Physically Unclonable Functions with MetaheuristicsCarlos Coello Coello (CINVESTAV-IPN, Departamento de Computacion), Marko Durasevic (University of Zagreb), Domagoj Jakobovic (University of Zagreb), Marina Krcek (Delft University of Technology), Luca Mariot (University of Twente), Stjepan Picek (Digital Security Group, Radboud University, Nijmegen, The Netherlands)
Comparison of MCMC Adaptation Schemes: A Preliminary Empirical StudyBOWEN LIU (Vrije Universiteit Brussel), Edna Milgo (Vrije Universiteit Brussel), Nixon Ronoh (Vrije Universiteit Brussel), Bernard Manderick (Vrije Universiteit Brussel)
Relational Bayesian Optimization for PermutationBo-Wei Huang (National Taiwan University), Wen-Zhong Fang (National Taiwan University), Hsu-Chen Liao (National Taiwan University), Tian-Li Yu (National Taiwan University)
Towards Large-Scale Simulations of Open-Ended Evolution in Continuous Cellular AutomataBert Wang-Chak Chan (Google)
DoE2Vec: Deep-learning Based Features for Exploratory Landscape AnalysisBas van Stein (LIACS, Leiden University), Fu Xing Long (BMW Group), Moritz Frenzel (BMW Group), Peter Krause (divis intelligent solutions GmbH), Markus Gitterle (University of Applied Sciences Munich), Thomas Bäck (LIACS, Leiden University)
Deep BIAS: Detecting Structural Bias using Explainable AIBas van Stein (LIACS, Leiden University), Diederick Vermetten (LIACS, Leiden University), Fabio Caraffini (Swansea University), Anna V. Kononova (LIACS, Leiden University)
ECOMNeighbor-Hop Mutation for Genetic Algorithm in Influence MaximizationAviral Chawla (University of Vermont), Nick Cheney (University of Vermont)
EMLOvercoming Deceptive Rewards with Quality-DiversityArno Feiden (Fraunhofer-Gesellschaft), Jochen Garcke (Institut für Numerische Simulation / Universität Bonn, Fraunhofer SCAI)
An information-theoretic evolutionary algorithmArnaud Berny (unaffiliated)
LCT-DER: Learning Classifier Table with Dynamic-Sized Experience Replay for Run-time SoC Performance-Power OptimizationAnmol Prakash Surhonne (Technical University of Munich), Florian Maurer (Technical University of Munich), Thomas Wild (Technical University of Munich), Andreas Herkersdorf (Technical University of Munich)
On-line Quick Hypervolume AlgorithmAndrzej Jaszkiewicz (Poznan University of Technology, Faculty of Computing and Telecommunications), Piotr Zielniewicz (Poznan University of Technology, Faculty of Computing and Telecommunications)
Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary SearchAndrei Kucharavy (HES-SO Valais/Wallis), Matteo Monti (EPFL), Rachid Guerraoui (EPFL), Ljiljana Dolamic (armasuisse CYD campus)
NESelf-Building Neural NetworksAndrea Ferigo (University of Trento), Giovanni Iacca (University of Trento)
Assessing the Generalizability of a Performance Predictive ModelAna Nikolikj (Jožef Stefan Institute), Gjorgjina Cenikj (Jožef Stefan Institute), Gordana Ispirova (Jožef Stefan Institute), Diederick Vermetten (LIACS, Leiden University), Ryan Lang (Stellenbosch University), Andries Engelbrecht (Stellenbosch University), Carola Doerr (Sorbonne University), Peter Korošec (Jožef Stefan Institute), Tome Eftimov (Jožef Stefan Institute)
Comparing Algorithm Selection Approaches on Black-Box Optimization ProblemsAna Kostovska (Jožef Stefan Institute), Anja Jankovic (Sorbonne University), Diederick Vermetten (Leiden University), Sašo Džeroski (Jožef Stefan Institute), Tome Eftimov (Jožef Stefan Institute), Carola Doerr (CNRS, Sorbonne Université)
Promoting Originality in Online Swarm RoboticsAmine Boumaza (Université de Lorraine / LORIA, Loria)
Leap Mapping: Improving Grammatical Evolution for Modularity ProblemsAllan de Lima (University of Limerick), Samuel Carvalho (Technological University of the Shannon: Midlands Midwest), Douglas Dias (University of Limerick, Universidade do Estado do Rio de Janeiro), Joseph Sullivan (Technological University of the Shannon: Midlands Midwest), Conor Ryan (University of Limerick)
AbCD: A Component-wise Adjustable Framework for Dynamic Optimization ProblemsAlexandre Mascarenhas (University of Tsukuba), Yuri Lavinas (University of Tsukuba), Claus Aranha (University of Tsukuba)
QNEAT: Natural Evolution of Variational Quantum Circuit ArchitectureAlessandro Giovagnoli (LMU), Yunpu Ma (LMU, Siemens), Matthias Schubert (LMU), Volker Tresp (LMU, Siemens)
Error and Correlation as fitness functions for Scaled Symbolic Regression in Grammatical EvolutionAidan Murphy (Trinity College Dublin, Lero), Allan De Lima (University of Limerick, Lero), Douglas Mota Dias (University of Limerick, Lero), Conor Ryan (University of Limerick, Lero)
Optimizing Keyboard Configuration Using Single and Multi-Objective Evolutionary AlgorithmsAhmer Khan (Michigan State University), Kalyanmoy Deb (Michigan State University)
A Diploid Genetic Algorithm for Solving the Multidimensional Multi-way Number Partitioning ProblemAdrian Petrovan (Technical University of Cluj-Napoca), Petrica Pop (Technical University of Cluj-Napoca), Cosmin Sabo (Technical University of Cluj-Napoca), Oliviu Matei (Technical University of Cluj-Napoca)
EMLMetaphor-based algorithms for learning the preference model parameters of FlowSort from large sets of assignment examplesAdam Handke (Poznan University of Technology), Damian Jóźwiak (Poznan University of Technology), Piotr Kamiński (Poznan University of Technology), Michał Wiśniewski (Poznan University of Technology), Miłosz Kadziński (Poznan University of Technology)
Attention in Rule-Based Machine Learning: Exploiting Learning Classifier Systems' Generalization for Image ClassificationAbubakar Siddique (Wellington Institute of Technology), Muhammad Iqbal (Higher Colleges of Technology), Shahab Din (Higher Colleges of Technology), Will Browne (Queensland University of Technology)