- 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 - EAHPC | X-Aevol: GPU Implementation of an Evolutionary Experimentation Simulator | Laurent Turpin, Jonathan Rouzaud-Cornabas, and Thierry Gautier (Inria) |
| WS - RWACMO | Black-box adversarial attacks using Evolution Strategies | Hao Qiu, Leonardo Lucio Custode, and Giovanni Iacca (University of Trento) |
| 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 - 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 - 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 - EvoSoft | AI Programmer: Autonomously Creating Software Programs Using Genetic Algorithms | Kory Becker (Bloomberg) and Justin Gottschlich (Intel Corporation) |
| 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 - PDEIM | Solving QUBO with GPU Parallel MOPSO | Noriyuki Fujimoto and Kouki Nanai (Osaka Prefecture 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 - SWINGA | A Differential Particle Scheme and its Application to PID Parameter Tuning of an Inverted Pendulum | Victor Parque (Waseda University) |
| 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 - 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 - 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 | Evolutionary Reinforcement Learning for Sparse Rewards | Shibei Zhu (Aalto university) and Francesco Belardinelli and Borja González León (Imperial College) |
| WS - PDEIM | A Partially Asynchronous Global Parallel Genetic Algorithm | Darren M. Chitty (Aston University) |
| 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 - 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 - VizGEC | Many-objective Population Visualisation with Geons | Marius Nicolae Varga, Swen Gaudl, and David Walker (University of Plymouth) |
| 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 - 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 - 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 - 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 - IAM | Trustworthy AI for Process Automation on a Chylla-Haase Polymerization Reactor | Daniel Hein and Daniel Labisch (Siemens AG) |
| WS - SAEOpt | How Bayesian Should Bayesian Optimisation Be? | George De Ath, Richard M. Everson, and Jonathan E. Fieldsend (University of Exeter) |
| 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 - 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 - AABOH | Design of Large-Scale Metaheuristic Component Studies | Helena Stegherr, Michael Heider, Leopold Luley, and Jörg Hähner (Universität Augsburg) |
| 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 - 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 - SecDef | Multi-objective Evolutionary Algorithms for Distributed Tactical Control of Heterogeneous Agents | Rahul Dubey and Sushil J. Louis (University of Nevada Reno) |
| 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 - EAHPC | Improving the Scalability of Distributed Neuroevolution Using Modular Congruence Class Generated Innovation Numbers | Joshua Karns and Travis Desell (Rochester Institute of Technology) |
| WS - AABOH | Quantifying the Impact of Boundary Constraint Handling Methods on Differential Evolution | Rick Boks, Anna Kononova, and Hao Wang (Leiden 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 - 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 | Deceiving Neural Source Code Classifiers: Finding Adversarial Examples with Grammatical Evolution | Claudio Ferretti and Martina Saletta (Università degli Studi di Milano-Bicocca) |
| 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 - 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 - 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 - 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 - 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 - 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 - 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 - IWLCS | An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS | Tim Hansmeier and Marco Platzner (Paderborn 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 - ECPERM | An Empirical Evaluation of Permutation-Based Policies for Stochastic RCPSP | Olivier Regnier-Coudert and Guillaume Povéda (Airbus) |
| 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 - 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 - 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 - 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 - Student | Automated Parameter Choice with Exploratory Landscape Analysis and Machine Learning | Maxim Pikalov and Vladimir Mironovich (ITMO University) |
| 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 - PDEIM | Conduit: A C++ Library for Best-Effort High Performance Computing | Matthew Andres Moreno, Santiago Rodriguez Papa, and Charles Ofria (Michigan State University) |
| 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 - Student | CLAHC - Custom Late Acceptance Hill Climbing: first results on TSP | Sylvain Clay, Lucien Mousin, Nadarajen Veerapen, and Laetitia Jourdan (Université de Lille) |
| 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 - AABOH | Benchmark Generator for TD Mk Landscapes | Tobias van Driessel and Dirk Thierens (Utrecht University) |
| 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 - 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 - AABOH | Emergence of Structural Bias in Differential Evolution | Bas van Stein (Leiden University), Fabio Caraffini (De Montfort University), and Anna Kononova (Leiden University) |
| 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 - EVOGRAPH | Graph-Aware Evolutionary Algorithms for Influence Maximization | Kateryna Konotopska and Giovanni Iacca (University of Trento) |
| WS - IAM | A heuristic approach to feasibility verification for truck loading | Vinicius Gandra, Hatice Çalik, Tony Wauters, and Greet Vanden Berghe (KU Leuven) |
| WS - EAHPC | Generating Combinations on the GPU and its Application to the K-Subset Sum | Victor Parque (Waseda University) |
| 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 - 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 - SecDef | Competitive Coevolution for Defense and Security: Elo-Based Similar-Strength Opponent Sampling | Sean N. Harris and Daniel R. Tauritz (Auburn University) |
| 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 - VizGEC | Visualizing fitnesses and constraint violations in single-objective optimization | Tomofumi KITAMURA and Alex FUKUNAGA (The University of Tokyo) |
| WS - EvoRL | Using Deep Q-Network for Selection Hyper-Heuristics | Augusto Dantas, Alexander Fiabane do Rego, and Aurora Pozo (Federal University of Paraná) |
| WS - Student | Population network structure impacts genetic algorithm optimisation performance | Aymeric Vié (University of Oxford) |
| 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 - 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 - 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 - 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 - SAEOpt | A Two-Phase Surrogate Approach for High-Dimensional Constrained Discrete Multi-Objective Optimization | Rommel G. Regis (Saint Joseph's University, Mathematics Department) |
| 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - EvoRL | Novelty and MCTS | Hendrik Baier and Michael Kaisers (Centrum Wiskunde & Informatica (CWI)) |
| 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 - 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 - SAEOpt | Augmenting High-dimensional Nonlinear Optimization with Conditional GANs | Pouya Rezazadeh Kalehbasti, Michael David Lepech, and Samarpreet Singh Pandher (Stanford University) |
| 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 - 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 - 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 | 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 - 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 - 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 | 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 - 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 | Towards Population-based Fitness Landscape Analysis Using Local Optima Networks | Melike Dila Karatas, Ozgur Ekim Akman, and Jonathan Edward Fieldsend (University of Exeter) |
| 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 - 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 - NEvo@Work | Pareto-Optimal Progressive Neural Architecture Search | Eugenio Lomurno, Stefano Samele, Matteo Matteucci, and Danilo Ardagna (Politecnico di Milano) |
| 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 - LAHS | Dissipative Polynomials | William B. Langdon (ucl) and Justyna Petke and David Clark (University College London) |