- The review process is now over: 103 contributions have been accepted as workshop papers. They will be published in the Companion Volume (and hence in the Digital Library) and presented during the workshop sessions of the conference.
- Search the list below by typing text in the column headers.
- The Papers Submission Instructions are still available for your information.
List of Accepted Workshop Papers
| Track | Title | Authors |
|---|---|---|
| WS - SWINGA | A Differential Particle Scheme and its Application to PID Parameter Tuning of an Inverted Pendulum | Victor Parque (Waseda University) |
| WS - EC+DM | A Divide and Conquer Approach for Web Services Location Allocation Problem | Harshal Tupsamudre, Saket Saurabh, Arun Ramamurthy, Mangesh Gharote, and Sachin Lodha (TCS Research and Innovation, Tata Consultancy Services, India) |
| WS - IWLCS | A Genetic Fuzzy System for Interpretable and Parsimonious Reinforcement Learning Policies | Jordan T. Bishop and Marcus Gallagher (University of Queensland) and Will N. Browne (Queensland University of Technology) |
| WS - IAM | A heuristic approach to feasibility verification for truck loading | Vinicius Gandra, Hatice Çalik, Tony Wauters, and Greet Vanden Berghe (KU Leuven) |
| WS - RWACMO | A Matheuristic Approach for Finding Effective Base Locations and Team Configurations for North West Air Ambulance | Burak Boyaci (Lancaster University); Muhammad Ali Nayeem (Lancaster University, Bangladesh University of Engineering and Technology); and Ahmed Kheiri (Lancaster University) |
| WS - IAM | A Multi-Objective Genetic Algorithm for Jacket Optimization | Jan Burak (Norwegian University of Science and Technology) and Ole Jakob Mengshoel (Norwegian University of Science and Technology, Carnegie Mellon University) |
| WS - EAPwU | A New Acquisition Function for Robust Bayesian Optimization of Unconstrained Problems | Sibghat Ullah and Hao Wang (Leiden University), Stefan Menzel and Bernhard Sendhoff (Honda Research Institute Europe GmbH), and Thomas Bäck (Leiden University) |
| WS - Student | A Parallel Genetic Algorithm to Speed Up the Resolution of the Algorithm Selection Problem | Alejandro Marrero, Eduardo Segredo, and Coromoto Leon (Universidad de La Laguna) |
| WS - PDEIM | A Partially Asynchronous Global Parallel Genetic Algorithm | Darren M. Chitty (Aston University) |
| WS - SWINGA | A Population-based Automatic Clustering Algorithm for Image Segmentation | Seyed Jalaleddin Mousavirad (Hakim Sabzevari University); Gerald Schaefer (Loughborough University); Mahshid Helali Moghadam (Malardalen University, RISE Research Institutes of Sweden); Mehrdad Saadatmand (RISE Research Institutes of Sweden); and Mahdi Pedram (Lorestan University of Medical Sciences) |
| WS - ECADA | A selection hyperheuristic guided by Thompson Sampling for numerical optimization | Marcella Scoczynski (Federal University of Technology - Parana), Diego Oliva (Universidad de Guadalajara), Erick Rodriguez-Esparza (University of Deusto), Myriam Delgado and Ricardo Lüders (Federal University of Technology - Parana), Mohamed El Yafrani (Aalborg University), Luiz Ledo (Federal University of Technology - Parana), Mohamed Abd Elaziz (Zagazig University), and Marco Perez-Cisnero (Universidad de Guadalajara) |
| WS - SAEOpt | A Two-Phase Surrogate Approach for High-Dimensional Constrained Discrete Multi-Objective Optimization | Rommel G. Regis (Saint Joseph's University, Mathematics Department) |
| WS - IAM | Addressing the Multiplicity of Solutions in Optical Lens Design as a Niching Evolutionary Algorithms Computational Challenge | Anna V. Kononova (Leiden University); Ofer M. Shir (Computer Science Department, Tel-Hai College, and Migal Institute); Teus Tukker and Pierluigi Frisco (ASML); and Shutong Zeng and Thomas Bäck (Leiden University) |
| WS - IAM | Advanced Mine Optimisation under Uncertainty Using Evolution | William Reid (Maptek Pty. Ltd), Aneta Neumann (The University of Adelaide), Simon Ratcliffe (Maptek Pty. Ltd), and Frank Neumann (The University of Adelaide) |
| WS - EvoSoft | AI Programmer: Autonomously Creating Software Programs Using Genetic Algorithms | Kory Becker (Bloomberg) and Justin Gottschlich (Intel Corporation) |
| WS - DTEO | An Abstract Interface for Large-Scale Continuous Optimization Decomposition Methods | Rodolfo Ayala Lopes, Rodrigo Silva, and Alan Freitas (Universidade Federal de Ouro Preto) |
| WS - EAHPC | An Efficient Fault-tolerant Communication Algorithm for Population-based Metaheuristics | Amanda S. Dufek (Lawrence Berkeley National Laboratory), Douglas A. Augusto (Oswaldo Cruz Foundation), Helio J. C. Barbosa (National Laboratory for Scientific Computing), Pedro L. S. Dias (University of São Paulo - IAG), and Jack R. Deslippe (Lawrence Berkeley National Laboratory) |
| WS - ECPERM | An Empirical Evaluation of Permutation-Based Policies for Stochastic RCPSP | Olivier Regnier-Coudert and Guillaume Povéda (Airbus) |
| WS - IWLCS | An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS | Tim Hansmeier and Marco Platzner (Paderborn University) |
| WS - PDEIM | An operation to promote diversity in Evolutionary Algorithms in a Dynamic Hybrid Island Model | Grasiele Duarte and Beatriz Lima (Federal University of Rio de Janeiro) |
| WS - IWLCS | An Overview of LCS Research from 2020 to 2021 | David Pätzel and Michael Heider (University of Augsburg) and Alexander R. M. Wagner (University of Hohenheim) |
| WS - LAHS | Analysing the Loss Landscape Features of Generative Adversarial Networks | Jarrod Moses (University of Pretoria), Katherine Malan (University of South Africa), and Anna Bosman (University of Pretoria) |
| WS - SAEOpt | Augmenting High-dimensional Nonlinear Optimization with Conditional GANs | Pouya Rezazadeh Kalehbasti, Michael David Lepech, and Samarpreet Singh Pandher (Stanford University) |
| WS - ECADA | Automated Design of Accurate and Robust Image Classifiers with Brain Programming | Gerardo Ibarra-Vazquez (Estudiante UASLP), Gustavo Olague (CICESE), Cesar Puente (UASLP), Mariana Chan-Ley (CICESE), and Carlos Soubervielle-Montalvo (UASLP) |
| WS - Student | Automated Parameter Choice with Exploratory Landscape Analysis and Machine Learning | Maxim Pikalov and Vladimir Mironovich (ITMO University) |
| WS - NEvo@Work | Behavior-based Neuroevolutionary Training in Reinforcement Learning | Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, and Thomas Bartz-Beielstein (TH Köln) and A. E. Eiben (VU Amsterdam) |
| WS - AABOH | Benchmark Generator for TD Mk Landscapes | Tobias van Driessel and Dirk Thierens (Utrecht University) |
| WS - BBOB | Benchmarking SHADE algorithm enhanced with model based optimization on the BBOB noiseless testbed | Michał Okulewicz and Mateusz Zaborski (Faculty of Mathematics and Information Science Warsaw University of Technology) |
| WS - RWACMO | Black-box adversarial attacks using Evolution Strategies | Hao Qiu, Leonardo Lucio Custode, and Giovanni Iacca (University of Trento) |
| WS - Student | CLAHC - Custom Late Acceptance Hill Climbing: first results on TSP | Sylvain Clay, Lucien Mousin, Nadarajen Veerapen, and Laetitia Jourdan (Université de Lille) |
| WS - SecDef | Competitive Coevolution for Defense and Security: Elo-Based Similar-Strength Opponent Sampling | Sean N. Harris and Daniel R. Tauritz (Auburn University) |
| WS - EvoSoft | Component-Based Design of Multi-Objective Evolutionary Algorithms Using the Tigon Optimization Library | Joao A. Duro, Daniel C. Oara, Ambuj K. Sriwastava, and Yiming Yan (The University of Sheffield); Shaul Salomon (ORT Braude College of Engineering); and Robin C. Purshouse (The University of Sheffield) |
| WS - Student | Concurrent Neural Tree and Data Preprocessing AutoML for Image Classification | Anish Thite, Mohan Ashish Dodda, Alex Liu, and Pulak Agarwal (Georgia Institute of Technology) and Jason Zutty (Georgia Tech Research Institute) |
| WS - PDEIM | Conduit: A C++ Library for Best-Effort High Performance Computing | Matthew Andres Moreno, Santiago Rodriguez Papa, and Charles Ofria (Michigan State University) |
| WS - EvoRL | Coordinate Ascent MORE With Adaptive Entropy Control for Population-Based Regret Minimization | Maximilian Hüttenrauch and Gerhard Neumann (Karlsruhe Institute of Technology) |
| WS - SecDef | Deceiving Neural Source Code Classifiers: Finding Adversarial Examples with Grammatical Evolution | Claudio Ferretti and Martina Saletta (Università degli Studi di Milano-Bicocca) |
| WS - AABOH | Design of Large-Scale Metaheuristic Component Studies | Helena Stegherr, Michael Heider, Leopold Luley, and Jörg Hähner (Universität Augsburg) |
| WS - IAM | Determining a consistent experimental setup for benchmarking and optimizing databases | Moisés Silva-Muñoz (IRIDIA-CoDE, Université Libre de Bruxelles); Gonzalo Calderon (CeDInt-UPM, Universidad Politecnica de Madrid); and Alberto Franzin and Hugues Bersini (IRIDIA-CoDE, Université Libre de Bruxelles) |
| WS - LAHS | Dissipative Polynomials | William B. Langdon (ucl) and Justyna Petke and David Clark (University College London) |
| WS - BBOB | DMS and MultiGLODS: Black-Box Optimization Benchmarking of Two Direct Search Methods on the Biobjective bbob-biobj Test Suite | Dimo Brockhoff (Inria, IP Paris); Baptiste Plaquevent-Jourdain (ENSTA Paris); and Anne Auger and Nikolaus Hansen (Inria, IP Paris) |
| WS - LAHS | Dynamic Landscape Analysis for Open-Ended Stacking | Bernhard Werth (University of Applied Sciences Upper Austria, Johannes Keppler University Linz) and Johannes Karder, Andreas Beham, and Stefan Wagner (University of Applied Sciences Upper Austria) |
| WS - EvoSoft | EBIC.JL - an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia | Paweł Renc (AGH University of Science and Technology); Patryk Orzechowski (University of Pennsylvania, AGH University of Science and Technology); Jarosław Wąs and Aleksander Byrski (AGH University of Science and Technology); and Jason H. Moore (University of Penn) |
| WS - AABOH | Emergence of Structural Bias in Differential Evolution | Bas van Stein (Leiden University), Fabio Caraffini (De Montfort University), and Anna Kononova (Leiden University) |
| WS - RWACMO | Evolutionary Algorithms in High-dimensional Radio Access Network Optimization | Dmitriy Semenchikov (Saint Petersburg State University; HUAWEI, St. Petersburg Research Center); Anna Filippova (HUAWEI, St. Petersburg Research Center); Dmitriy Volf and Nikolai Kovrizhnykh (Saint Petersburg State University; HUAWEI, St. Petersburg Research Center); Maxim Mironov (Moscow Institute of Physics and Technology; HUAWEI, St. Petersburg Research Center); Zou Jinying (Saint Petersburg State University; HUAWEI, St. Petersburg Research Center); Luo Ronghui and Zhu Yuanming (HUAWEI, China); and Huang Wei and Chai Dapeng (HUAWEI, St. Petersburg Research Center) |
| WS - EvoRL | Evolutionary Reinforcement Learning for Sparse Rewards | Shibei Zhu (Aalto university) and Francesco Belardinelli and Borja González León (Imperial College) |
| WS - NEvo@Work | Evolving Neural Selection with Adaptive Regularization | Li Ding (University of Massachusetts Amherst, Massachusetts Institute of Technology) and Lee Spector (Amherst College, Hampshire College) |
| WS - SWINGA | Explaining SOMA: the Relation of Stochastic Perturbation to Population Diversity and Parameter Space Coverage | Michal Pluhacek, Anezka Kazikova, Tomas Kadavy, Adam Viktorin, and Roman Senkerik (Tomas Bata University in Zlin) |
| WS - ECPERM | Exploratory Analysis Of The Monte Carlo Tree Search For Solving The Linear Ordering Problem | Andoni Irazusta Garmendia, Josu Ceberio, and Alexander Mendiburu (University of the Basque Country) |
| WS - EVOGRAPH | Focusing on the Hybrid Quantum Computing - Tabu Search Algorithm: new results on the Asymmetric Salesman Problem | Eneko Osaba, Esther Villar-Rodriguez, and Izaskun Oregi (Tecnalia Research & Innovation) and Aitor Moreno-Fernandez-de-Leceta (Instituto Ibermatica de Innovacion) |
| WS - EAHPC | Generating Combinations on the GPU and its Application to the K-Subset Sum | Victor Parque (Waseda University) |
| WS - ECPERM | Generating Instances with Performance Differences for More Than Just Two Algorithms | Jakob Bossek (University of Münster) and Markus Wagner (The University of Adelaide) |
| WS - EVOGRAPH | Graph-Aware Evolutionary Algorithms for Influence Maximization | Kateryna Konotopska and Giovanni Iacca (University of Trento) |
| WS - SWINGA | HCS-BBD: An Effective Population-Based Approach for Multi-Level Thresholding | Seyed Jalaleddin Mousavirad (Hakim Sabzevari University), Gerald Schaefer (Loughborough University), and Diego Oliva and Salvador Hinojosa (Universidad de Guadalajara) |
| WS - RWACMO | House Price Prediction Using Clustering and Genetic Programming along with Conducting a Comparative Study | Fateme Azimlu, Shahryar Rahnamayan, and Masoud Makrehchi (University of Ontario Institute of Technology) |
| WS - SAEOpt | How Bayesian Should Bayesian Optimisation Be? | George De Ath, Richard M. Everson, and Jonathan E. Fieldsend (University of Exeter) |
| WS - NEvo@Work | Hybrid Encodings for Neuroevolution of Convolutional Neural Networks: A Case Study | Gustavo-Adolfo Vargas-Hákim, Efrén Mezura-Montes, and Héctor-Gabriel Acosta-Mesa (Artificial Intelligence Research Institute, University of Veracruz) |
| WS - ECPERM | Hybrid Linkage Learning for Permutation Optimization with Gene-pool Optimal Mixing Evolutionary Algorithms | Michal Witold Przewozniczek and Marcin Michal Komarnicki (Wroclaw University of Science and Technology), Peter A.N. Bosman (Centrum Wiskunde & Informatica (CWI)), Dirk Thierens (Utrecht University), Bartosz Frej (Wroclaw University of Science and Technology), and Ngoc Hoang Luong (University of Information Technology) |
| WS - EAHPC | Improving the Scalability of Distributed Neuroevolution Using Modular Congruence Class Generated Innovation Numbers | Joshua Karns and Travis Desell (Rochester Institute of Technology) |
| WS - LAHS | Investigating the Landscape of a Hybrid Local Search Approach for a Timetabling Problem | Thomas Feutrier, Marie-Éléonore Kessaci, and Nadarajen Veerapen (Universite de Lille) |
| WS - AABOH | Is there Anisotropy in Structural Bias? | Diederick L. Vermetten and Anna V. Kononova (Leiden University), Fabio Caraffini (De Montfort University), and Hao Wang and Thomas Bäck (Leiden University) |
| WS - PDEIM | Island Model in ActoDatA: an actor-based Implementation of a classical Distributed Evolutionary Computation Paradigm | Giuseppe Petrosino, Federico Bergenti, Gianfranco Lombardo, Monica Mordonini, Agostino Poggi, Michele Tomaiuolo, and Stefano Cagnoni (University of Parma) |
| WS - VizGEC | Many-objective Population Visualisation with Geons | Marius Nicolae Varga, Swen Gaudl, and David Walker (University of Plymouth) |
| WS - EAPwU | Maximising Hypervolume and Minimising $epsilon$-Indicators using Bayesian Optimisation over Sets | Tinkle Chugh (University of Exeter) and Manuel López-Ibáñez (University of Málaga, University of Manchester) |
| WS - EC+DM | Model Learning with Personalized Interpretability Estimation (ML-PIE) | Marco Virgolin (Chalmers University of Technology), Andrea De Lorenzo (University of Trieste), Francesca Randone (IMT School for Advanced Studies Lucca), Eric Medvet (University of Trieste), and Mattias Wahde (Chalmers University of Technology) |
| WS - IAM | Multi Tree Operators for Genetic Programming to Identify Optimal Energy Flow Controllers | Kathrin Kefer (Fronius International GmbH), Roland Hanghofer (Dynatrace Austria GmbH), Patrick Kefer (University of Applied Sciences Upper Austria), Markus Stöger and Bernd Hofer (Fronius International GmbH), and Michael Affenzeller and Stephan Winkler (University of Applied Sciences Upper Austria) |
| WS - SecDef | Multi-objective Evolutionary Algorithms for Distributed Tactical Control of Heterogeneous Agents | Rahul Dubey and Sushil J. Louis (University of Nevada Reno) |
| WS - IAM | Multi-Objective Evolutionary Product Bundling: A Case Study | Okan Tunalı and Ahmet Tuğrul Bayrak (Ata Technology Platforms), Víctor Sanchez-Anguix (Universitat Politècnica de València), and Reyhan Aydoğan (Özyeğin University) |
| WS - Student | Negative Learning Ant Colony Optimization for the Minimum Positive Influence Dominating Set Problem | Albert López Serrano (Universitat Autònoma de Barcelona), Teddy Nurcahyadi (IIIA-CSIC), Salim Bouamama (Ferhat Abbas University), and Christian Blum (IIIA-CSIC) |
| WS - NEvo@Work | Neuroevolution of Recurrent Neural Networks for Time Series Forecasting of Coal-Fired Power Plant Operating Parameters | Zimeng Lyu (Rochester Institute of Technology); Shuchita Patwardhan, David Stadem, James Langfeld, Steve Benson, and Seth Thoelke (Microbeam Technologies Incorporated); and Travis Desell (Rochester Institute of Technology) |
| WS - EvoRL | Novelty and MCTS | Hendrik Baier and Michael Kaisers (Centrum Wiskunde & Informatica (CWI)) |
| WS - EvoRL | On the challenges of jointly optimising robot morphology and control using a hierarchical optimisation scheme | Léni Kenneth Le Goff and Emma Hart (Edinburgh Napier University) |
| WS - NEvo@Work | On the Effects of Pruning on Evolved Neural Controllers for Soft Robots | Giorgia Nadizar (Department of Engineering and Architecture, University of Trieste; Department of Computer Science, Artificial Intelligence Lab, Oslo Metropolitan University); Eric Medvet, Felice Andrea Pellegrino, and Marco Zullich (Department of Engineering and Architecture, University of Trieste); and Stefano Nichele (Department of Computer Science, Artificial Intelligence Lab, Oslo Metropolitan University; Department of Holistic Systems, Simula Metropolitan Center for Digital Engineering) |
| WS - AABOH | On the Genotype Compression and Expansion for Evolutionary Algorithms in the Continuous Domain | Lucija Planinić and Marko Đurasević (Faculty of Electrical Engineering and Computing), Luca Mariot (Delft University of Technology), Domagoj Jakobović (Faculty of Electrical Engineering and Computing), Stjepan Picek (Delft University of Technology), and Carlos Coello Coello (CINVESTAV-IPN) |
| WS - ECPERM | On the symmetry of the Quadratic Assignment Problem through Elementary Landscape Decomposition | Xabier Benavides (Basque Center for Applied Mathematics) and Josu Ceberio and Leticia Hernando (University of the Basque Country) |
| WS - EvoSoft | Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics | Johann Dreo (Pasteur Institute); Arnaud Liefooghe (Univ. Lille, CNRS); Sébastien Verel (Université du Littoral Côte d'Opale); Marc Schoenauer (Inria Saclay–Île-de-France, CNRS); Juan J. Merelo (University of Granada); Alexandre Quemy (Poznan University of Technology); Benjamin Bouvier (N/A); and Jan Gmys (Inria Lille - Nord Europe) |
| WS - NEvo@Work | Pareto-Optimal Progressive Neural Architecture Search | Eugenio Lomurno, Stefano Samele, Matteo Matteucci, and Danilo Ardagna (Politecnico di Milano) |
| WS - Student | Population network structure impacts genetic algorithm optimisation performance | Aymeric Vié (University of Oxford) |
| WS - DTEO | Population-Based Coordinate Descent Algorithm with Majority Voting | Davood Zaman Farsa, Azam Asilian Bidgoli, Ehsan Rokhsatyazdi, and Shahryar Rahnamayan (University of Ontario Institute of Technology) |
| WS - NEvo@Work | Prediction of Personalized Blood Glucose Levels in Type 1 Diabetic Patients using a Neuroevolution Approach | Ivanoe De Falco (ICAR-CNR), Antonio Della Cioppa and Angelo Marcelli (University of Salerno), Umberto Scafuri (ICAR-CNR), Luca Stellaccio (University of Salerno), and Ernesto Tarantino (ICAR-CNR) |
| WS - SAEOpt | Preferential Bayesian optimisation with Skew Gaussian Processes | Alessio Benavoli (Trinity College Dubin) and Dario Azzimonti and Dario Piga (IDSIA Dalle Molle Institute for Artificial Intelligence Research) |
| WS - RWACMO | Project Portfolio Selection with Defense Capability Options | Kyle Robert Harrison, Saber Elsayed, and Ruhul A. Sarker (University of New South Wales) and Ivan L. Garanovich, Terence Weir, and Sharon G. Boswell (Defence Science and Technology Group, Department of Defence) |
| WS - AABOH | Quantifying the Impact of Boundary Constraint Handling Methods on Differential Evolution | Rick Boks, Anna Kononova, and Hao Wang (Leiden University) |
| WS - EAPwU | RARE: Evolutionary Feature Engineering for Rare-variant Bin Discovery | Satvik Dasariraju (University of Pennsylvania, The Lawrenceville School) and Ryan J. Urbanowicz (University of Pennsylvania) |
| WS - SWINGA | Self-organizing Migrating Algorithm with Clustering-aided Migration and Adaptive Perturbation Vector Control | Tomas Kadavy, Michal Pluhacek, Adam Viktorin, and Roman Senkerik (Tomas Bata University in Zlin) |
| WS - SecDef | Simulating a Logistics Enterprise Using an Asymmetrical Wargame Simulation with Soar Reinforcement Learning and Coevolutionary Algorithms | Ying Zhao (Naval Postgraduate School); Erik Hemberg (Massachusetts Institute of Technology, CSAIL); Nate Derbinsky (Northeastern University); Gabino Mata (US Marine Corp.); and Una-May O’Reilly (Massachusetts Institute of Technology, CSAIL) |
| WS - IAM | Simulation-based Scheduling of a Large-scale Industrial Formulation Plant Using a Heuristics-assisted Genetic Algorithm | Christian Klanke (TU Dortmund); Dominik Bleidorn, Christian Koslowski, and Christian Sonntag (INOSIM Software GmbH); and Sebastian Engell (TU Dortmund) |
| WS - ECPERM | Solving Job Shop Scheduling Problems Without Using a Bias for Good Solutions | Thomas Weise, Xinlu Li, Yan Chen, and Zhize Wu (Institute of Applied Optimization, School of Artificial Intelligence and Big Data, Hefei University) |
| WS - PDEIM | Solving QUBO with GPU Parallel MOPSO | Noriyuki Fujimoto and Kouki Nanai (Osaka Prefecture University) |
| WS - DTEO | The Bee-Benders Hybrid Algorithm with application to Transmission Expansion Planning | Cameron A.G. MacRae and Melih Ozlen (RMIT University) and Andreas Tilman Ernst (Monash University) |
| WS - Student | The Lower Bounds on the Runtime of the $(1 + (lambda, lambda))$~GA on the Minimum Spanning Tree Problem | Matvey Shnytkin and Denis Antipov (ITMO University) |
| WS - ECADA | Towards Large Scale Automated Algorithm Designby Integrating Modular Benchmarking Frameworks | Amine Aziz-Alaoui (IRT Saint Exupéry); Carola Doerr (CNRS, Sorbonne Université); and Johann Dreo (Pasteur Institute) |
| WS - LAHS | Towards Population-based Fitness Landscape Analysis Using Local Optima Networks | Melike Dila Karatas, Ozgur Ekim Akman, and Jonathan Edward Fieldsend (University of Exeter) |
| WS - ECPERM | Towards the Landscape Rotation as a Perturbation Strategy on the Quadratic Assignment Problem | Joan Alza and Mark Bartlett (Robert Gordon University), Josu Ceberio (University of the Basque Country), and John McCall (Robert Gordon University) |
| WS - IAM | Trustworthy AI for Process Automation on a Chylla-Haase Polymerization Reactor | Daniel Hein and Daniel Labisch (Siemens AG) |
| WS - ECADA | Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules | Jacob de Nobel, Diederick Vermetten, and Hao Wang (Leiden University); Carola Doerr (Sorbonne Université, CNRS); and Thomas Baeck (Leiden University) |
| WS - LAHS | Understanding Parameter Spaces using Local Optima Networks: A Case Study on Particle Swarm Optimization | Christopher W. Cleghorn (The University of the Witwatersrand) and Gabriela Ochoa (University of Stirling) |
| WS - EvoRL | Using Deep Q-Network for Selection Hyper-Heuristics | Augusto Dantas, Alexander Fiabane do Rego, and Aurora Pozo (Federal University of Paraná) |
| WS - IAM | Using Grammatical Evolution for Modelling Energy Consumption on a Computer Numerical Control Machine | Samuel Carvalho (Limerick Institute of Technology, University of Limerick); Joe Sullivan (Limerick Institute of Technology); and Douglas Dias, Enrique Naredo, and Conor Ryan (University of Limerick) |
| WS - EvoRL | Using Reinforcement Learning for Tuning Genetic Algorithms | Jose Quevedo and Marwan Abdelatti (University of Rhode Island), Farhad Imani (University of Connecticut), and Manbir Sodhi (University of Rhode Island) |
| WS - VizGEC | Visualizing fitnesses and constraint violations in single-objective optimization | Tomofumi KITAMURA and Alex FUKUNAGA (The University of Tokyo) |
| WS - ECADA | Which Hyperparameters to Optimise? An Investigation of Evolutionary Hyperparameter Optimisation in Graph Neural Network for Molecular Property Prediction | Yingfang Yuan, Wenjun Wang, and Wei Pang (Heriot-Watt University) |
| WS - EAHPC | X-Aevol: GPU Implementation of an Evolutionary Experimentation Simulator | Laurent Turpin, Jonathan Rouzaud-Cornabas, and Thierry Gautier (Inria) |