GECCO 2023 | 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

Track	Title	Authors
	Performance Comparison of Steady State GAs and Generational GAs for Capacitated Vehicle Routing Problems	Jose 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)
CS	Multi-Task Multi-Behavior MAP-Elites	Timothée Anne (Université de Lorraine, Inria), Jean-Baptiste Mouret (Inria)
	Interactive Evolutionary Computation for Strategy Discovery in Multi-Phase Operations	Martin 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)
	A Simple and Efficient Heuristic for Reducing Vulnerability of Complex Networks to Malicious Link Attacks	Marco Tomassini (University of Lausanne)
	On the Global Structure of PUBOi Fitness Landscapes	Sara 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)
NE	Quality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally important	Konstantinos Christou (CYENS Centre of Excellence), Chris Christodoulou (University of Cyprus), Vassilis Vassiliades (CYENS Centre of Excellence)
	An adaptive sparse large-scale multiobjective evolutionary algorithm	Feiyue 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)
NE	A Transformer-based Neural Architecture Search Method	Shang Wang (Xiangtan University), Huanrong Tang (Xiangtan University), Jianquan Ouyang (Xiangtan University)
	Neuroevolution for Autonomous Cyber Defense	Kade Heckel (University of Sussex)
	A Novel Approach for Texture Defect Detection using Statistical Features and a Bio-Inspired Algorithm	Rahul Sharma (National Institute of Technology Goa), Venkatanareshbabu Kuppili (National Institute of Technology Goa)
	Decision Trees+Evolutionary Algorithm for Predict then Optimize	Kevin 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)
	A Cluster-Based Multiobjective Optimization Algorithm for VRPSTW with Salary Balance	Yi Mao (South China NormalUniversity), Jingjing Li (South China NormalUniversity), Na Tang (South China NormalUniversity)
	A Selection Hyper-Heuristic for Transfer Learning in Genetic Programming	Jeffrey Russell (University of Pretoria), Nelishia Pillay (University of Pretoria)
	Many-objective Optimization via Voting for Elites	Jackson Dean (University of Vermont), Nick Cheney (University of Vermont)
	Does size matter? On the influence of ensemble size on constructing ensembles of dispatching rules	Marko 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)
	Extending MOEA/D to Constrained Multi-objective Optimization via Making Constraints an Objective Function	Yusuke Yasuda (Tokyo Metropolitan University), Kenichi Tamura (Tokyo Metropolitan University), Keiichiro Yasuda (Tokyo Metropolitan University)
GECH	ELEA - Build your own Evolutionary Algorithm in your Browser	Markus 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)
	Revealing the Inner Dynamics of Evolutionary Algorithms with Convection Selection	Maciej Komosinski (Poznan University of Technology), Konrad Miazga (Poznan University of Technology)
	Active Learning Informs Symbolic Regression Model Development in Genetic Programming	Nathan Haut (Michigan State University), Bill Punch (Michigan State University), Wolfgang Banzhaf (Michigan State University)
	Multi-Objective Genetic Programming based on Decomposition on Evolving Scheduling Heuristics for Dynamic Scheduling	Meng Xu (Victoria University of Wellington), Yi Mei (Victoria University of Wellington), Fangfang Zhang (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington)
	Relational Bayesian Optimization for Permutation	Bo-Wei Huang (National Taiwan University), Wen-Zhong Fang (National Taiwan University), Hsu-Chen Liao (National Taiwan University), Tian-Li Yu (National Taiwan University)
	Ant Colony Optimization with Pre-exploration of Outliers for TSP	Haoyu Meng (Central China Normal University), Jinglei Guo (Central China Normal University), Zeyuan Shi (Central China Normal University)
	Creative Discovery using Qality-Diversity Search	Jon McCormack (Monash University), Camilo Cruz Gambardella (Monash), Stephen Krol (Monash University)
	Evolution of Editing Scripts From Examples	Marek Sedlacek (Brno University of Technology), Lukas Sekanina (Brno University of Technology)
CS	Coping with seasons: evolutionary dynamics of gene networks in a changing environment	Csenge Petak (University of Vermont), Lapo Frati (University of Vermont), Melissa Pespeni (University of Vermont), Nick Cheney (University of Vermont)
	Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation	Mario Hevia Fajardo (University of Birmingham), Per Kristian Lehre (University of Birmingham), Shishen Lin (University of Birmingham)
ENUM	Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems	Raphael Prager (University of Münster), Heike Trautmann (University of Münster, University of Twente)
	Augmentative Topology Agents For Open-Ended Learning	Muhammad Nasir (University of the Witwatersrand), Michael Beukman (University of the Witwatersrand), Steven James (University of the Witwatersrand), Christopher Cleghorn (University of the Witwatersrand)
	A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection	Qurrat Ain (Victoria University of Wellington), Harith Al-Sahaf (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington)
	Error and Correlation as fitness functions for Scaled Symbolic Regression in Grammatical Evolution	Aidan 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)
	Taylor Polynomial Enhancer using Genetic Programming for Symbolic Regression	Chi-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)
	Evolution Strategies with Seed Mirroring and End Tournament	Sean Soleyman (HRL Laboratories, LLC), Joshua Fadaie (HRL Laboratories, LLC), Fan Hung (HRL Laboratories, LLC), Deepak Khosla (HRL Laboratories, LLC)
GP	Performance Analysis of Self-Supervised Strategies for Standard Genetic Programming	Nuno Rodrigues (LASIGE), José Almeida (Champalimaud Research), Sara Silva (LASIGE)
	Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification	Roberto 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)
EML	Overcoming Deceptive Rewards with Quality-Diversity	Arno Feiden (Fraunhofer-Gesellschaft), Jochen Garcke (Institut für Numerische Simulation / Universität Bonn, Fraunhofer SCAI)
RWA	EA-based smartwatch application for training and assistance in cardiopulmonary resuscitation	Christian 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)
	Re-Evaluating Algorithm Variations Using Empirical Similarity	Jair Pereira Junior (University of Tsukuba), Claus Aranha (University of Tsukuba)
	The Problem Solving Benefits of Down-Sampling Vary by Selection Scheme	Ryan 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)
	Theoretical Limits on the Success of Lexicase Selection Under Contradictory Objectives	Shakiba Shahbandegan (Michigan State University), Emily Dolson (Michigan State University)
ECOM	Neighbor-Hop Mutation for Genetic Algorithm in Influence Maximization	Aviral Chawla (University of Vermont), Nick Cheney (University of Vermont)
	An information-theoretic evolutionary algorithm	Arnaud Berny (unaffiliated)
	Modeling Strong Physically Unclonable Functions with Metaheuristics	Carlos 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)
	Diversity-driven Multi-population Particle Swarm Optimization for Dynamic Optimization Problem	Pei-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)
	Modularity Based Linkage Model For Neuroevolution	Yukai Qiao (University of Queensland), Marcus Gallagher (University of Queensland)
	LCT-DER: Learning Classifier Table with Dynamic-Sized Experience Replay for Run-time SoC Performance-Power Optimization	Anmol Prakash Surhonne (Technical University of Munich), Florian Maurer (Technical University of Munich), Thomas Wild (Technical University of Munich), Andreas Herkersdorf (Technical University of Munich)
	Knowledge Shaped Behavior Generation for Online Adaptation	Connor Yates (Oregon State University), Kagan Tumer (Oregon State University)
	An Iterative Machine Learning Approach to Informative Performance Reporting in Dynamic Multi-Objective Optimization	Daniel Herring (The University of Birmingham, The University of Melbourne), Michael Kirley (The University of Melbourne), Xin Yao (The University of Birmingham)
RWA	Generative Meta-Learning Robust Quality-Diversity Portfolio	Kamer Yuksel (aiXplain, inc.)
	Development of forked divergence particle swarm optimization	So Fukuhara (Kagawa University), Masao Arakawa (Kagawa University)
	Two-Level Algorithm Combining Bayesian Optimization and Swarm Intelligence for Variable-Size Optimal Layout Problems	Juliette Gamot (ONERA, Inria), Mathieu Balesdent (ONERA), Romain Wuilbercq (ONERA), Arnault Tremolet (ONERA), Nouredine Melab (Inria), El-Ghazali Talbi (Inria)
	Fast Collective Decision-Making without Prior Knowledge	Nicolas Cambier (Vrije Universiteit Amsterdam), Eliseo Ferrante (Technology Innovation Institute, Vrije Universiteit Amsterdam)
GECH	Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization	Carolin Benjamins (Leibniz University Hannover), Elena Raponi (Technical University Munich, Sorbonne University), Anja Jankovic (Sorbonne University), Carola Doerr (Sorbonne University), Marius Lindauer (Leibniz University Hannover)
SBSE	A Novel Fitness Function for Automated Software Test Case Generation Based on Nested Constraint Hardness	Thi-Mai-Anh Bui (SOICT/HUST), Quoc-Trung Bui (SOICT/HUST), Van-Tri Do (SOICT/HUST)
	Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search	Andrei Kucharavy (HES-SO Valais/Wallis), Matteo Monti (EPFL), Rachid Guerraoui (EPFL), Ljiljana Dolamic (armasuisse CYD campus)
	Exploring the Potential of JuLeS: A White Box Framework for Local Search Metaheuristics	Francesca Da Ros (Università degli Studi di Udine, IOLab), Luca Di Gaspero (Università degli Studi di Udine, IOLab)
	Explaining Memristive Reservoir Computing Through Evolving Feature Attribution	Xinming 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)
	A Distributed Multilevel Memetic Algorithm for Signed Graph Clustering	Felix Hausberger (Heidelberg University), Marcelo Fonseca Faraj (Heidelberg University), Christian Schulz (Heidelberg University)
	The Influence of Probabilistic Grammars on Evolution	Jessica Mégane (University of Coimbra), Nuno Lourenço (University of Coimbra), Penousal Machado (University of Coimbra), Dirk Schweim (University of Applied Sciences Mainz)
	On-line Quick Hypervolume Algorithm	Andrzej Jaszkiewicz (Poznan University of Technology, Faculty of Computing and Telecommunications), Piotr Zielniewicz (Poznan University of Technology, Faculty of Computing and Telecommunications)
	Evolutionary Pruning of Deep Convolutional Networks by a Memetic GA with Sped-Up Local Optimization and GLCM Energy Z-Score	Ha 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)
NE	Evolving Better Initializations For Neural Networks With Pruning	Ryan Zhou (Queen's University), Ting Hu (Queen's University)
	Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning	Simón Smith (Imperial College, Edinburgh Napier University), Bryan Lim (Imperial College), Hannah Janmohamed (Imperial College), Antoine Cully (Imperial College)
	Approximating the Boundaries of Unstable Nuclei Using Analytic Continued Fractions	Pablo Moscato (The University of Newcastle), Rafael Grebogi (The University of Newcastle)
	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)
	Evolutionary Neural Networks for Livestock Disease Prevention	Krzysztof Michalak (Wroclaw University of Economics and Business), Mario Giacobini (Department of Veterinary Sciences, University of Torino, Torino, Italy)
	Towards a General Boolean Function Benchmark Suite	Roman 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)
	DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis	Bas 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)
	Performance Analysis of Hybrid Sampling and Meta-heuristics	Ryan Lang (Stellenbosch University), Andries Engelbrecht (Stellenbosch University, Gulf University of Science and Technology)
	Towards Large-Scale Simulations of Open-Ended Evolution in Continuous Cellular Automata	Bert Wang-Chak Chan (Google)
	Drivers of Replicator Organisation in the Nanopond Artificial Chemistry	Simon Hickinbotham (University of York)
	MNDE: Node-depth encoding can do better in evolutionary multitask algorithms	Dao 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)
	Computational and Exploratory Landscape Analysis of the GKLS Generator	Jakub Kudela (Brno University of Technology), Martin Juricek (Brno University of Technology)
	An analysis of heuristic templates in Genetic Programming for one-dimensional cutting and packing problems	Jesús 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)
	Learning Behavior Trees by Evolution-Inspired Approaches	Chuanshuai 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)
	Evolutionary Optimization of a Focused Ultrasound Propagation Predictor Neural Network	Jakub Chlebik (Brno University of Technology, Faculty of Information Technology), Jiri Jaros (Brno University of Technology, Faculty of Information Technology)
	Nearest better network for visualization of the fitness landscape	Yiya 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)
	Multiobjective coevolutionary training of Generative Adversarial Networks	Guillermo 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)
	Automated algorithm composition of unsupervised image clustering algorithms	Mia Gerber (University of Pretoria), Nelishia Pillay (University of Pretoria)
	Stability, Entropy and Performance in PSO	Yurdusev AKAN (The University of Edinburgh), J. Michael Herrmann (The University of Edinburgh)
	A Neural Architecture Search Method using Auxiliary Evaluation Metric based on ResNet Architecture	Shang Wang (Xiangtan University), Huanrong Tang (Xiangtan University), Jianquan Ouyang (Xiangtan University)
GA	Optimization of MFCCs for Time Signature Detection Using Genetic Algorithm	Jeremiah Abimbola (Silesian University of Technology), Daniel Kostrzewa (Silesian University of Technology), Pawel Kasprowski (Silesian University of Technology)
	Automated design of relocation rules for minimising energy consumption in the container relocation problem	Marko 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)
	Evolutionary Algorithms for Segment Optimization in Vectorial GP	Philipp 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)
	Multi-Surrogate Assisted PSO with Multiple Exemplars for Expensive Multimodal Multi-Objective Optimization	Zhiming Lv (Northwest A&F University), Shuqin Li (Northwest A&F University), Hongguang Sun (Northwest A&F University), Hongming Zhang (Northwest A&F University)
	AbCD: A Component-wise Adjustable Framework for Dynamic Optimization Problems	Alexandre Mascarenhas (University of Tsukuba), Yuri Lavinas (University of Tsukuba), Claus Aranha (University of Tsukuba)
NE	evosax: JAX-Based Evolution Strategies	Robert Lange (Technical Univ. Berlin)
	High Dimensional Many Objective Optimisation through Diverse Creation and Categorisation of Reference Vectors	Kai Wu (The University of Sheffield), George Panoutsos (The University of Sheffield)
EML	A Parallelized Genitor II Implementation For Training Semiring Neural Networks	Olena Horokh (Technische Universität Dresden), Martin Böhm (Martin-Luther-Universität Halle-Wittenberg), Thomas Schmid (Martin-Luther-Universität Halle-Wittenberg, Universität Leipzig)
	Evolving Herding Behaviour Diversity in Robot Swarms	Geoff Nitschke (UCT), Scott Hallauer (UCT), Emma Hart (Edinburgh Napier University)
	Sparse Mutation Decompositions: Fine Tuning Deep Neural Networks with Subspace Evolution	Tim Whitaker (Colorado State University), Darrell Whitley (Colorado State University)
	Efficient Quality-Diversity Optimization through Diverse Quality Species	Ryan Wickman (University of Memphis), Bibek Poudel (University of Memphis), Taylor Villarreal (University of Memphis), Xiaofei Zhang (University of Memphis), Weizi Li (University of Memphis)
	Non-Elitist Evolutionary Multi-Objective Optimisation: Proof-of-Principle Results	Zimin Liang (The University of Birmingham), Miqing Li (The University of Birmingham), Per Kristian Lehre (The University of Birmingham)
	Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean Functions	Marko 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)
	Improved Multi-Objective Data Stream Clustering with Time and Memory Optimization	Mohammed 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)
	A Decomposition-based Multi-modal Multi-objective Evolutionary Algorithm with Problem Transformation into Two-objective Subproblems	Yusuke 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)
	LGP-VEC: A Vectorial Linear Genetic Programming for Symbolic Regression	Nikola Gligorovski (South China University of Technology), Jinghui Zhong (South China University of Technology)
	Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution Strategies	Victor Costa (University of Coimbra), Nuno Lourenço (University of Coimbra), João Correia (University of Coimbra), Penousal Machado (University of Coimbra)
	Controllable Exploration of a Design Space via Interactive Quality Diversity	Konstantinos Sfikas (University of Malta), Antonios Liapis (University of Malta), Georgios Yannakakis (University of Malta)
	Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based Problems	Yi 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)
	Synthesizing Effective Diagnostic Models from Small Samples using Structural Machine Learning: a Case Study in Automating COVID-19 Diagnosis	Piotr 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.)
	An Evolutionary Strategy for Automatic Hypotheses Generation inspired by Abductive Reasoning	Roberto Pietrantuono (Universitá degli Studi di Napoli)
	An Investigation of Terminal Settings on Multitask Multi-objective Dynamic Flexible Job Shop Scheduling with Genetic Programming	Fangfang Zhang (Victoria University of Wellington), Yi Mei (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington)
NE	Self-Building Neural Networks	Andrea Ferigo (University of Trento), Giovanni Iacca (University of Trento)
	Leap Mapping: Improving Grammatical Evolution for Modularity Problems	Allan 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)
ECOM	A Hybrid BRKGA for Joint Scheduling Production, Transport, and Storage/Retrieval in Flexible Job Shops	S. 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)
	Curious-II: A Multi/Many-Objective Optimization Algorithm with Subpopulations based on Multi-novelty Search	Yuzi Jiang (State Grid Information & Telecommunication Group CO.,LTD), Danilo Vargas (Kyushu University, MiraiX)
	Multi-Objective Optimization on Autoencoder for Feature Encoding and Attack Detection on Network Data	Miguel Leon (Malardalen University), Tijana Markovic (Malardalen University), Sasikumar Punnekkat (Malardalen University)
	Prompt-Guided Level Generation	Shyam 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)
EMO	Diffusely Distributed Parallelization of MOEA/D with Edge Weight Vectors Sharing	Yuji Sato (Hosei University), Mads Midtlyng (Hosei University), Mikiko Sato (Tokai University)
	Hybrid Multi-Objective Genetic Programming for Parameterized Quantum Operator Discovery	Felix Gemeinhardt (Johannes Kepler Universität Linz), Stefan Klikovits (Johannes Kepler Universität Linz), Manuel Wimmer (Johannes Kepler Universität Linz)
	Evolution Enhancing Property Price Prediction by Generating Artificial Transaction Data	Zheping Liu (RMIT University), Andy Song (RMIT University), Nasser Sabar (La Trobe University), Kai Qin (YepHome), Takero Izuhara (ST Solutions)
	A Preference-based Activity Scheduling Algorithm Using Many-objective Optimization	Markus Rothkötter (Otto-von-Guericke University), Sanaz Mostaghim (Otto-von-Guericke University)
GP	Evolving Nonlinear Multigrid Methods With Grammar-Guided Genetic Programming	Dinesh Parthasarathy (University of Erlangen-Nuremberg), Jonas Schmitt (University of Erlangen-Nuremberg), Harald Köstler (University of Erlangen-Nuremberg)
	A Comparison of Structural Complexity Metrics for Explainable Genetic Programming	Karina Brotto Rebuli (University of Torino), Mario Giacobini (University of Torino), Sara Silva (University of Lisbon), Leonardo Vanneschi (Universidade Nova de Lisboa)
GP	A Static Analysis of Informed Down-Samples	Ryan Boldi (University of Massachusetts Amherst), Alexander Lalejini (Grand Valley State University), Thomas Helmuth (Hamilton College), Lee Spector (Amherst College)
	Addressing the Health Versus Economy Dilemma in Data-Driven Policymaking During a Pandemic	Lewis Hotchkiss (Swansea University), Alma Rahat (Swansea University)
	Optimized hybrid imbalanced data sampling for decision tree training	Weronika Węgier (Wroclaw University of Technology), Michał Koziarski (Wroclaw University of Technology), Michał Woźniak (Wroclaw University of Technology)
EML	Metaphor-based algorithms for learning the preference model parameters of FlowSort from large sets of assignment examples	Adam 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)
	Simultaneous Evolutionary Optimization of Features Subset and Clusters Number	José David Martín (NTT Data), Beatriz Pontes (University of Seville), José C. Riquelme (University of Seville)
	Genetically Improved Software with fewer Data Cache Misses	w. langdon (ucl), Justyna Petke (UCL), Aymeric Blot (univ-littoral), David Clark (ucl)
	A Comprehensive Pragmatic Investigation of Batched Acquisition Functions in Bayesian Optimization	Ruizhe Zhou (South China University of Technology), Jinghui Zhong (South China University of Technology)
	An analysis of choice functions for Fuzzy ART using grammatical evolution	Mia Gerber (University of Pretoria), Nelishia Pillay (University of Pretoria)
	On the Trade-Off between Population Size and Number of Generations in GP for Program Synthesis	Martin Briesch (University of Mainz), Dominik Sobania (University of Mainz), Franz Rothlauf (University of Mainz)
	QNEAT: Natural Evolution of Variational Quantum Circuit Architecture	Alessandro Giovagnoli (LMU), Yunpu Ma (LMU, Siemens), Matthias Schubert (LMU), Volker Tresp (LMU, Siemens)
RWA	Energy-aware metaheuristic for virtual machine placement towards a green cloud computing	Takwa Tlili (University of Tunis), Saoussen Krichen (University of Tunis)
	Assessing the Generalizability of a Performance Predictive Model	Ana 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)
	Fighting Underspecification in Symbolic Regression with Fitness Sharing	Fabricio de Franca (Universidade Federal do ABC)
	Spacecraft Swarm Orbital Formation Optimisation Using Evolutionary Techniques	Daniel Stolfi (University of Luxembourg), Grégoire Danoy (University of Luxembourg)
	Hierarchical Frames-of-References in Learning Classifier Systems	Fumito Uwano (Okayama University), Will Browne (Queensland University of Technology)
	Phased Genetic Programming for Application to the Traveling Salesman Problem	Darren Chitty (University of Exeter), Ed Keedwell (University of Exeter)
ECOM	Training Agents for Unknown Logistics Problems	Elisa Schmidt (Leibniz University Hannover), Matthias Becker (Leibniz University Hannover)
	GP with Ranging-Binding Technique for Symbolic Regression	Wen-Zhong Fang (National Taiwan University), Chi-Hsien Chang (National Taiwan University), Jung-Chun Liu (National Taiwan University), Tian-Li Yu (National Taiwan University)
	Attention in Rule-Based Machine Learning: Exploiting Learning Classifier Systems' Generalization for Image Classification	Abubakar Siddique (Wellington Institute of Technology), Muhammad Iqbal (Higher Colleges of Technology), Shahab Din (Higher Colleges of Technology), Will Browne (Queensland University of Technology)
	Simulated Annealing Algorithm for the Bounded Diameter Minimum Spanning Tree Problem	Li Hong (Fujian Agriculture and Forestry University), Yiwen Zhong (Fujian Agriculture and Forestry University), Juan Lin (Fujian Agriculture and Forestry University)
	Utilizing the Expected Gradient in Surrogate-assisted Evolutionary Algorithms	Kei Nishihara (Yokohama National University), Masaya Nakata (Yokohama National University)
	Two-point Crossover Operator in Genetic Algorithm for Deep Learning Compiler	Tianyi Zhou (jiangnan university), Fang Wei (jiangnan university)
	Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation	Junhao Huang (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Yanan Sun (Sichuan University), Mengjie Zhang (Victoria University of Wellington)
	Evolving Robust Facility Placements	William Thompson (Univerisity of Vermont), Alex Friedrichsen (University of Vermont), Chris Danforth (University of Vermont), Peter Dodds (University of Vermont), Nick Cheney (University of Vermont)
	A Fuzzy Decision Variables Framework Based on Directed Sampling for Large-scale Multiobjective Optimization	Shi-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)
	An Adaptive Sequence-Based Selection Hyper-Heuristic for Application to Electric Bus Scheduling	Darren Chitty (University of Exeter), James Lewis (City Science), Ed Keedwell (University of Exeter)
	Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent Environments	Gautier Hamon (Inria), Eleni Nisioti (Inria), Clément Moulin-Frier (Inria)
	A Novel Quadtree-Based Genetic Programming Search for Searchable Encryption Optimization	Po-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)
	Promoting Originality in Online Swarm Robotics	Amine Boumaza (Université de Lorraine / LORIA, Loria)
RWA	Optimising Ferroelectric Thin Films with Evolutionary Computation	Eléonore Vissol-Gaudin (Nanyang Technological University), Yee-Fun Lim (Intitute of Materials Research and Engineering, ASTAR), Kedar Hippalgaonkar (Nanyang Technological University, ASTAR)
	Comparison of MCMC Adaptation Schemes: A Preliminary Empirical Study	BOWEN LIU (Vrije Universiteit Brussel), Edna Milgo (Vrije Universiteit Brussel), Nixon Ronoh (Vrije Universiteit Brussel), Bernard Manderick (Vrije Universiteit Brussel)
	A Memetic Algorithm to Solve the Robust Influence Maximization Problems against Cascading Failures	Shun Cai (Sun Yat-sen University), Shuai Wang (Sun Yat-sen University), Zhaoxi Ou (Sun Yat-sen University)
	Comparing Algorithm Selection Approaches on Black-Box Optimization Problems	Ana 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)
	An analysis of training models to evolve heuristics for the travelling salesman problem	Francisco 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)
EMO	A Generalized Circular Supply Chain Problem for Multi-objective Evolutionary Algorithms	Tobias Benecke (Otto von Guericke University), Oliver Antons (Otto von Guericke University), Sanaz Mostaghim (Otto von Guericke University), Julia Arlinghaus (Otto von Guericke University)
ECOM	Generating Competitive Solutions for Uncapacitated Facility Location Problem by Learning from Small Instances	Shuaixiang 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)
	Deep BIAS: Detecting Structural Bias using Explainable AI	Bas van Stein (LIACS, Leiden University), Diederick Vermetten (LIACS, Leiden University), Fabio Caraffini (Swansea University), Anna V. Kononova (LIACS, Leiden University)
	Optimizing Keyboard Configuration Using Single and Multi-Objective Evolutionary Algorithms	Ahmer Khan (Michigan State University), Kalyanmoy Deb (Michigan State University)
	Controlling Hybrid Evolutionary Algorithms in Subset Selection for Multimodal Optimization	Ole 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)
	Evolution of an Internal Reward Function for Reinforcement Learning	Weiyi Zuo (University of Chinese Academy of Sciences), Joachim Pedersen (IT University of Copenhagen), Sebastian Risi (IT University of Copenhagen)
	Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery	Mikhail Maslyaev (ITMO University), Alexander Hvatov (ITMO University)
EML	From Random Forest to an interpretable decision tree - An evolutionary approach	Krzysztof Jurczuk (Bialystok University of Technology), Marcin Czajkowski (Bialystok University of Technology), Marek Kretowski (Bialystok University of Technology)
	Designing Convolutional Neural Networks using Surrogate assisted Genetic Algorithm for Medical Image Classification	Muhammad Junaid Ali (Université de Haute-Alsace), Laurent Moalic (Université de Haute-Alsace), Mokhtar Essaid (Université de Haute-Alsace), Lhassane Idoumghar (Université de Haute-Alsace)
	Scalable Neuroevolution of Ensemble Learners	Marcel Merten (University of Bremen), Rune Krauss (University of Bremen), Rolf Drechsler (University of Bremen, DFKI)
	Multi-Objective Artificial Bee Colony for Assembly Flexible Job Shop with Transportation and Setup Times	Runxin Han (Shandong Normal University), Junqing Li (Shandong Normal University), Xiumei Xiao (Yunnan Normal University)
CS	The Struggle for Existence: Time, Memory and Boat	John Stevenson (Long Beach Institute)
	Inequality and the Emergence of Social Stratification	Geoff Nitschke (University of Cape Town), Brandon Gower-Winter (University of Cape Town)
	Variable neighborhood search for solving the -domination problem	Milan Predojević (University of Banja Luka), Aleksandar Kartelj (University of Belgrade), Marko Djukanović (University of Banja Luka)
	A Diploid Genetic Algorithm for Solving the Multidimensional Multi-way Number Partitioning Problem	Adrian 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)
	Solving the Multitasking Robust Influence Maximization Problem on Networks using a Multi-factorial Evolutionary Algorithm	Minghao Chen (Sun Yat-sen University), Shuai Wang (Sun Yat-sen University), Shun Cai (Sun Yat-sen University)
	Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems	Robbert Reijnen (Technical University of Eindhoven), Yingqian Zhang (Technical University of Eindhoven), Zaharah Bukhsh (Technical University of Eindhoven), Mateusz Guzek (Goodyear Innovation Center Luxembourg)
RWA	Towards Optimized Schedules for Charging Electric Vehicles on Austrian Highways using Genetic Algorithms	Christian 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)
	Using Evolutionary Computation to Find Parameters that Promote Egalitarian Major Evolutionary Transitions	Max Foreback (Michigan State University), Sydney Leither (Michigan State University), Emily Dolson (Michigan State University)
	Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors	Rachit 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)
	Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling	Rafael 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)
	Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility Prediction	Thomas Feutrier (University of Lille, Universite de Lille), Nadarajen Veerapen (Université de Lille), Marie-Eleonore Kessaci (Université de Lille)
CS	Fast generation of centroids for MAP-Elites	Jean-Baptiste Mouret (Inria, CNRS / Université de Lorraine)
	A multi-policy sequence-based selection hyper-heuristic for multi-objective optimization	Michele Urbani (University of Trento), Francesco Pilati (University of Trento)
GA	On the Effect of Temporal Heterogeneity on Selection Pressure of Evolutionary Algorithms	Victor Sanchez Sanchez (Universidad Nacional Autonoma de Mexico), Carlos Gershenson Garcia (Universidad Nacional Autonoma de Mexico), Carlos Hernandez Castellanos (Universidad Nacional Autonoma de Mexico)
	Diversity Search for the Generation of Diverse Grasping Trajectories	Johann 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)
EMO	Mastering Stochastic Partially Observable Asymmetrical Multi-Agent Game with Rolling Horizon Evolution Algorithm	James Chao (NIWC Pacific), Lance Nakamoto (NIWC Pacific)
	Interactive GA Approach for Video Digest Suggestion	Wooseok Song (Gwangju Institute of Science and Technology), Chang Wook Ahn (Gwangju Institute of Science and 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)
GP	Iterative Structure-Based Genetic Programming for Neural Architecture Search	Rahul Kapoor (University of Pretoria), Nelishia Pillay (University of Pretoria)
	Adaptive Particle Swarm Optimization with Local Search for Multi-robot Multi-point Dynamic Aggregation	Shihao 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)
GP	DistilSR: A Distilled Version of Gene Expression Programming Symbolic Regression	Kei Sen Fong (National University of Singapore), Mehul Motani (National University of Singapore)
	AutoQUBO v2: Towards Efficient and Effective QUBO Formulations for Ising Machines	Justin 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)
	A New Metaheuristic-Algorithm Similarity Measure Using Signal Flow Diagrams	Thimershen Achary (University of KwaZulu-Natal), Anban Pillay (University of KwaZulu-Natal), Edgar Jembere (University of KwaZulu-Natal)
ECOM	Applying an Evolutionary Algorithm to Compare Fix and Flex Grid Technologies in New Generation Optical Networks	Stanislaw Kozdrowski (Warsaw University of Technology), Pawel Krysztofik (Warsaw University of Technology)
	Experimental Analyses of Crossover and Diversity on Jump	Xiaoyue Li (Hasso Plattner Institute, University of Potsdam), Timo Kötzing (Hasso Plattner Institute, University of Potsdam)
NE	Generative Adversarial Neuroevolution for Control Behaviour Imitation	Maximilien Le Clei (Montreal Geriatric Institute), Pierre Bellec (Montreal Geriatric Institute)
EMO	Surrogate-Assisted NSGA-II Algorithm for Expensive Multiobjective Optimization	Mouadh Yagoubi (IRT SystemX), Hiba Bederina (/)
RWA	Minimizing Black Boxes due to Polynomial-Model-Based Optimization	Janina 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))

Accepted Posters

List of Accepted Posters

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