| WS - AABOH | How to Tell a Fish from a Bee: Constructing Meta-Heuristic Search Behaviour Characteristics | Lauren Hayward (Stellenbosch University), Andries Engelbrecht (Stellenbosch University, Gulf University for Science and Technology) |
| WS - AABOH | On the Behavior of the Mixed-Integer SMS-EMOA on Box-Constrained Quadratic Bi-Objective Models | Ofer Shir (Tel-Hai College, The Galilee Research Institute - Migal), Michael Emmerich (Leiden University) |
| WS - AABOH | Initialization Matters for Asynchronous Steady-State Evolutionary Algorithms | Eric Scott (MITRE Corporation), Kenneth De Jong (George Mason University) |
| WS - BBOB | Comparison Of Three Versions Of Whale Optimization Algorithm (WOA) On The Bbob Test Suite | Óscar Espinoza (IIMAS-UNAM), Katya Rodríguez-Vázquez (IIMAS-UNAM), Carlos Hernández-Castellanos (IIMAS-UNAM), Suemi Rodriguez-Romo (FES-ACATLAN-UNAM) |
| WS - BBOB | Benchmarking State-of-the-art DIRECT-type Methods on the BBOB Noiseless Testbed | Jakub Kudela (Brno) |
| WS - BBOB | Evaluation of the impact of various modifications to CMA-ES that facilitate its theoretical analysis | Armand Gissler (École Polytechnique) |
| WS - BBOB | Benchmarking the Borg algorithm on the Biobjective bbob-biobj Testbed | Dimo Brockhoff (Inria, CMAP, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris), Pascal Capetillo (Institut Polytechnique de Paris), Jonathan Hornewall (Institut Polytechnique de Paris), Raphael Walker (Université Paris-Saclay) |
| WS - BBOB | Benchmarking CMA-ES with Basic Integer Handling on a Mixed-Integer Test Problem Suite | Tristan Marty (Thales Research & Technology, Inria), Yann Semet (Thales Research & Technology), Anne Auger (Inria, École Polytechnique), Sébastien Héron (Thales Research & Technology), Nikolaus Hansen (Inria) |
| WS - BBOB | A Distributed Multi-Disciplinary Design Optimization Benchmark Test Suite with Constraints and Multiple Conflicting Objectives | Victoria Johnson (The University of Sheffield), João Duro (The University of Sheffield), Visakan Kadirkamanathan (The University of Sheffield), Robin Purshouse (The University of Sheffield) |
| WS - EC+DM | Multi-objective Multiplexer Decision Making Benchmark Problem | Boris Djartov (German Aerospace Center (DLR), Otto-von-Guericke-University Magdeburg), Sanaz Mostaghim (Otto-von-Guericke-University Magdeburg) |
| WS - EC+DM | Using a Database to Support Interactive Multiobjective Optimization, Visualization, and Analysis | Bhupinder Saini (University of Jyvaskyla), Giomara Lárraga (University of Jyvaskyla), Kaisa Miettinen (University of Jyvaskyla) |
| WS - EC+DM | Component-based thinking in designing interactive multiobjective evolutionary methods | Giomara Larraga Maldonado (University of Jyväskylä), Kaisa Miettinen (University of Jyväskylä) |
| WS - EC+DM | Personalized Group Itinerary Recommendation using a Knowledge-based Evolutionary Approach | Farzaneh Jouyandeh (University of Windsor), Pooya Moradian Zadeh (University of Windsor) |
| WS - EC+DM | Metaheuristic Optimization for Transmission Network Expansion Planning: Testebed 2 of the Competition on Evolutionary Computation in the Energy Domain | José Almeida (GECAD, LASI, Polytechnic of Porto), Fernando Lezama (GECAD, LASI, Polytechnic of Porto), João Soares (GECAD, LASI, IPP), Leonardo Macedo (UNESP), Zita Vale (GECAD, LASI, Polytechnic of Porto), Ruben Romero (UNESP) |
| WS - ECADA | Using a Parallel Ensemble of Sequence-Based Selection Hyper-Heuristics for Electric Bus Scheduling | Darren Chitty (University of Exeter), James Lewis (City Science), Ed Keedwell (University of Exeter) |
| WS - ECADA | Sequential Rule Mining for Automated Design of Meta-heuristics | Weiyao Meng (University of Nottingham), Rong Qu (University of Nottingham) |
| WS - ECADA | Genetic Programming for Automatic Design of Parameter Adaptation in Dual-Population Differential Evolution | Vladimir Stanovov (Reshetnev Siberian State University of Science and Technology, Siberian Federal University), Eugene Semenkin (Reshetnev Siberian State University of Science and Technology, Siberian Federal University) |
| WS - ECADA | MLStar: A System for Synthesis of Machine-Learning Programs | Gabriel Kopito (PerformanceStar), Jonathan Schwartz (PerformanceStar), Julien Amblard (PerformanceStar), Robert Filman (PerformanceStar), Landon Rabern (PerformanceStar) |
| WS - ECADA | Algorithm Configuration via Continuously Racing: Preliminary Results | Yunshuang Xiao (IRIDIA, Université libre de Bruxellles), Leslie Pérez Cáceres (Pontificia Universidad Católica de Valparaíso), Manuel López-Ibáñez (University of Manchester), Thomas Stützle (IRIDIA, Université libre de Bruxellles) |
| WS - ECXAI | Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis. | Martin Fyvie (Robert Gordon University, The National Subsea Centre), John McCall (Robert Gordon University, The National Subsea Centre), Lee Christie (Robert Gordon University, The National Subsea Centre), Alexander Brownlee (University of Stirling) |
| WS - ECXAI | From Fitness Landscapes to Explainable AI and Back | Sarah Thomson (University of Stirling), Jason Adair (University of Stirling), Alexander Brownlee (University of Stirling), Daan van den Berg (VU University Amsterdam) |
| WS - ECXAI | Towards Principled Synthetic Benchmarks for Explainable Rule Set Learning Algorithms | David Pätzel (University of Augsburg), Michael Heider (University of Augsburg), Jörg Hähner (University of Augsburg) |
| WS - EGML-EC | An Evolutionary based Generative Adversarial Network Inspired Approach to Defeating Metamorphic Malware | Kehinde Babaagba (Edinburgh Napier University), Jordan Wylie (Edinburgh Napier University) |
| WS - EGML-EC | Multiobjective evolutionary search of the latent space of Generative Adversarial Networks for human face generation | Jairo Correa (Universidad de la República), Jimena Mignaco (Universidad de la República), Gonzalo Rey (Universidad de la República), Benjamín Machín (Universidad de la República), Sergio Nesmachnow (Universidad de la República), Jamal Toutouh (Universidad de Málaga) |
| WS - EGML-EC | Generating Adversarial Examples through Latent Space Exploration of Generative Adversarial Networks | Luana Clare (University of Coimbra, CISUC, DEI), João Correia (University of Coimbra, CISUC, DEI) |
| WS - EGML-EC | Analyzing the interplay between transferable GANs and gradient optimizers | Unai Garciarena (University of the Basque Country), Roberto Santana (University of the Basque Country (UPV/EHU)), Alexander Mendiburu (University of the Basque Country) |
| WS - ERBML | CRACS: Compaction of Rules in Anticipatory Classifier Systems | Romain Orhand (Icube Laboratory, University of Strasbourg), Pierre Collet (Icube Laboratory, University of Strasbourg), Pierre Parrend (Icube Laboratory, EPITA), Anne Jeannin-Girardon (Icube Laboratory, University of Strasbourg) |
| WS - ERBML | User-centred Design and Development of a Graphical User Interface for Learning Classifier Systems | Sooraj K Babu (Julius-Maximilians University, Games Engineering), Tim Schneider (Julius-Maximilians University, Games Engineering), Sebastian von Mammen (Julius-Maximilians University, Games Engineering) |
| WS - ERBML | Scikit-FIBERS: An 'OR'-Rule Discovery Evolutionary Algorithm for Risk Stratification in Right-Censored Survival Analyses | Ryan Urbanowicz (Cedars Sinai Medical Center), Harsh Bandhey (Cedars Sinai Medical Center), Malek Kamoun (University of Pennsylvania), Nolan Fogarty (Johns Hopkins University), Yi-An Hsieh (University of Pennsylvania) |
| WS - EvoSoft | PyScheduling: an Extensible and Easy-To-Use Python Framework for Scheduling Problems | Taha Arbaoui (University of Technology of Troyes), Mohamed Elamine Athmani (University of Technology of Troyes), Mohammed Henni (Ecole nationale Supérieure d'Informatique), Akram Badreddine Laissaoui (Ecole nationale Supérieure d'Informatique), Mourad Terzi (University of Technology of Troyes) |
| WS - EvoSoft | Maelstrom: An Accelerator-compatible GP Framework | Deacon Seals (Auburn University, BONSAI Lab), Robert Wilkes (Auburn University), Daniel Tauritz (Auburn University, BONSAI Lab) |
| WS - EvoSoft | Fast, Flexible, and Fearless: A Rust Framework for the Modular Construction of Metaheuristics | Jonathan Wurth (Universität Augsburg), Helena Stegherr (Universität Augsburg), Michael Heider (Universität Augsburg), Leopold Luley (Universität Augsburg), Jörg Hähner (Universität Augsburg) |
| WS - EvoSoft | A Joint Python/C++ Library for Efficient yet Accessible Black-Box and Gray-Box Optimization with GOMEA | Anton Bouter (Centrum Wiskunde & Informatica (CWI)), Peter Bosman (Centrum Wiskunde & Informatica (CWI)) |
| WS - EvoSoft | Replicable Self-Documenting Experiments with Arbitrary Search Spaces and Algorithms | Thomas Weise (Institute of Applied Optimization, School of Artificial Intelligence and Big Data, Hefei University), Zhize Wu (Institute of Applied Optimization, School of Artificial Intelligence and Big Data, Hefei University) |
| WS - EvoSoft | Improving Time and Memory Efficiency of Genetic Algorithms by Storing Populations as Minimum Spanning Trees of Patches | Maxim Buzdalov (Aberystwyth University) |
| WS - GEWS2023 | Designing Scalarizing Functions Using Grammatical Evolution | Amin V. Bernabe Rodriguez (CINVESTAV-IPN), Carlos A. Coello Coello (CINVESTAV-IPN) |
| WS - GEWS2023 | Comparing Individual Representations in Grammar-Guided Genetic Programming for Glucose Prediction in People with Diabetes | Leon Ingelse (LASIGE, Faculdade de Ciências da Universidade de Lisboa), José-Ignacio Hidalgo (Universidad Complutense de Madrid), José Manuel Colmenar (Universidad Rey Juan Carlos), Nuno Lourenço (University of Coimbra, CISUC, DEI), Alcides Fonseca (LASIGE, Faculdade de Ciências da Universidade de Lisboa) |
| WS - GEWS2023 | Initialisation in Structured Grammatical Evolution | Aidan Murphy (Trinity College Dublin, Lero), Nuno Lourenço (University of Coimbra), Anthony Ventresque (Trinity College Dubin, Lero) |
| WS - GGP | GPStar4: A flexible framework for experimenting with genetic programming | Julien Amblard (PerformanceStar), Robert Filman (PerformanceStar), Gabriel Kopito (PerformanceStar) |
| WS - GGP | Graph-Based Mutations for Music Generation | Maziar Kanani (University of Galway), Seán O'Leary (TU Dublin), James McDermott (University of Galway) |
| WS - GGP | Evolving Graphs with Cartesian Genetic Programming with Lexicase Selection | Yuri Lavinas (University of Toulouse), Kevin Cortacero (University of Toulouse), Sylvain Cussat-blanc (University of Toulouse) |
| WS - IAM | Hybrid Rocket Engine Design Using Pairwise Ranking Surrogate-assisted Differential Evolution | Hitomi Kano (Tokyo Metropolitan University), Tomohiro Harada (Tokyo Metropolitan University), Yukiya Miura (Tokyo Metropolitan University), Masahiro Kanazaki (Tokyo Metropolitan University) |
| WS - IAM | Pareto Front Upconvert on Multi-objective Building Facility Control Optimization | Naru Okumura (The University of Electro-Communications), Tomoaki Takagi (The University of Electro-Communications), Yoshihiro Ohta (Mitsubishi Electric Corporation), Hiroyuki Sato (The University of Electro-Communications) |
| WS - IAM | Landscape Analysis of Multi-objective Control of Fluidized Beds | Iffat Jamil (Otto-von-Guericke Universität Magdeburg), Sanaz Mostaghim (Otto-von-Guericke Universität Magdeburg), Berend van Wachem (Otto-von-Guericke Universität Magdeburg), Victor Chéron (Otto-von-Guericke Universität Magdeburg), Max Hausmann (Otto-von-Guericke Universität Magdeburg) |
| WS - IAM | Probabilistic-based Optimization for PV Hosting Capacity with Confidence Interval Restrictions | Luis Cordero (Department of Electrical Engineering, UNESP), Brian Jaramillo-Leon (Department of Electrical Engineering, UNESP), Jonatas Leite (Department of Electrical Engineering, UNESP), John Franco (Department of Electrical Engineering, UNESP), José Almeida (GECAD, LASI, Polytechnic of Porto), Fernando Lezama (GECAD, LASI, Polytechnic of Porto), João Soares (GECAD, LASI, Polytechnic of Porto) |
| WS - IAM | Multi-Objective Policy Evolution for a Same-Day Delivery Problem with Soft Deadlines | Nikolaus Frohner (Vienna University of Technology), Günther Raidl (Vienna University of Technology), Francisco Chicano (University of Málaga) |
| WS - IAM | A Multi-Objective Decomposition Optimization Method for Refinery Crude Oil Scheduling through Genetic Programming | Cristiane Pereira (Petrobras Research and Development Center), Douglas Dias (University of Limerick, Rio de Janeiro State University), Luis Martí (Inria Chile Research Center, Institut national de recherche en sciences et technologies du numérique), Marley Vellasco (Pontifical Catholic University of Rio de Janeiro) |
| WS - IAM | Evolutionary F1 Race Strategy | Andrea Bonomi (University of Trento), Evelyn Turri (University of Trento), Giovanni Iacca (University of Trento) |
| WS - iGECCO | When to Elicit Preferences in Multi-Objective Bayesian Optimization | Juan Ungredda (ESTECO SpA), Juergen Branke (University of Warwick) |
| WS - iGECCO | A Comprehensive and Brief Survey on Interactive Evolutionary Computation in Sound and Music Composition for Algorithmic Auditory and Acoustic Design with Human-in-the-Loop | Yan Pei (The University of Aizu, Japan) |
| WS - iGECCO | Human-Driven Genetic Programming for Program Synthesis: A Prototype | Thomas Helmuth (Hamilton College), James Frazier (Hamilton College), Yuhan Shi (Hamilton College), Ahmed Abdelrehim (Hamilton College) |
| WS - KL | Towards optimisers that `Keep Learning' | Emma Hart (Edinburgh Napier University), Ian Miguel (University of St Andrews), Christopher Stone (University of St Andrews), Quentin Renau (Edinburgh Napier University) |
| WS - KL | Co-evolving RNNs and their Hyperparameters with SHO]{Co-evolving Recurrent Neural Networks and their Hyperparameters with Simplex Hyperparameter Optimization | Amit Kini (Rochester Institute of Technology), Swaraj Yadav (Rochester Institute of Technology), Aditya Thakur (Rochester Institute of Technology), Akshar Awari (Rochester Institute of Technology), Zimeng Lyu (Rochester Institute of Technology), Travis Desell (Rochester Institute of Technology) |
| WS - LAHS | Fitness Landscape Analysis of Genetic Programming Search Spaces with Local Optima Networks | Yifan He (Zhejiang University of Finance & Economics), Ferrante Neri (University of Surrey) |
| WS - LAHS | Empirical Loss Landscape Analysis of Neural Network Activation Functions | Anna Bosman (University of Pretoria), Andries Engelbrecht (University of Stellenbosch; Center for Applied Mathematics and Bioinformatics, Gulf University for Science and Technology), Marde Helbig (Griffith University) |
| WS - LAHS | Genotype Diversity Measures for Escaping Plateau Regions in University Course Timetabling | James Sakal (University of Exeter), Jonathan Fieldsend (University of Exeter), Edward Keedwell (University of Exeter) |
| WS - LAHS | Randomness in Local Optima Network Sampling | Sarah Thomson (University of Stirling), Nadarajen Veerapen (Université de Lille), Gabriela Ochoa (University of Stirling), Daan van den Berg (VU University Amsterdam) |
| WS - LAHS | Local Optima Networks of the Black Box Optimisation Benchmark Functions | Paul Mitchell (Heriot-Watt University, TAQA Bratani Ltd.), Gabriela Ochoa (The University of Stirling), Romain Chassagne (BRGM) |
| WS - LAHS | Walking through the Quadratic Assignment-Instance Space: Algorithm Performance and Landscape Measures | Bernhard Werth (University of Applied Sciences Upper Austria), Johannes Karder (University of Applied Sciences Upper Austria), Andreas Beham (University of Applied Sciences Upper Austria), Erik Pitzer (University of Applied Sciences Upper Austria), Kaifeng Yang (University of Applied Sciences Upper Austria), Stefan Wagner (University of Applied Sciences Upper Austria) |
| WS - LAHS | Extrema Graphs: Fitness Landscape Analysis to the Extreme! | Sophie Sadler (Swansea University), Alma Rahat (Swansea University), David Walker (University of Plymouth), Daniel Archambault (Swansea University) |
| WS - LAHS | A Search for Nonlinear Balanced Boolean Functions by Leveraging Phenotypic Properties | Bruno Gašperov (University of Zagreb, Faculty of Electrical Engineering and Computing), Marko Đurasević (University of Zagreb, Faculty of Electrical Engineering and Computing), Domagoj Jakobović (University of Zagreb, Faculty of Electrical Engineering and Computing) |
| WS - LAHS | Quantifying and Visualizing the Sharpness of Attraction Basins in Neural Network Error Landscapes | Isobel Bosman (University of Pretoria), Anna Bosman (University of Pretoria), Katherine Malan (University of South Africa) |
| WS - LAHS | Adaptive Landscape-aware Constraint Handling with Application to Binary Knapsack Problem | Arnaud Liefooghe (Univ. Lille), Katherine Malan (University of South Africa) |
| WS - NEWK | EvoPrunerPool: An Evolutionary Pruner using Pruner Pool for Compressing Convolutional Neural Networks | Sujit Subramanian S (Amrita Vishwa Vidyapeetham), Arvindram K (Amrita Vishwa Vidyapeetham), Shunmuga Velayutham C. (Amrita Vishwa Vidyapeetham), Madhusoodhan Sathya (MultiCoreWare Inc.), Nathiyaa Sengodan (MultiCoreWare Inc.), Divesh Kosuri (Amrita Vishwa Vidyapeetham), Sai Satvik Arvapalli (Amrita Vishwa Vidyapeetham), Thangavelu S (Amrita Vishwa Vidyapeetham), Jeyakumar G (Amrita Vishwa Vidyapeetham) |
| WS - NEWK | Local Stochastic Differentiable Architecture Search for Memetic Neuroevolution Algorithms | Joshua Karns (Rochester Institute of Technology), Travis Desell (Rochester Institute of Technology) |
| WS - NEWK | Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results | Nicholas Sung (Center for Frontier AI Research; Agency for Science, Technology and Research), Jian Cheng Wong (Institute for High Performance Computing, Agency for Science, Technology and Research; Nanyang Technological University), Chin Chun Ooi (Center for Frontier AI Research and Institute of High Performance Computing, Agency for Science, Technology and Research), Abhishek Gupta (Singapore Institute of Manufacturing Technology, Agency for Science, Technology and Research; Nanyang Technological University), Pao-Hsiung Chiu (Institute for High Performance Computing, Agency for Science, Technology and Research), Yew-Soon Ong (Agency for Science, Technology and Research; Nanyang Technological University) |
| WS - NEWK | SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking Neural Networks | Henrique Branquinho (University of Coimbra), Nuno Lourenço (University of Coimbra), Ernesto Costa (University of Coimbra) |
| WS - NEWK | Transfer Learning for Embodied Neuroevolution | Divya Kulkarni (Indian Institute of Technology Guwahati), Shivashankar Nair (Indian Institute of Technology Guwahati) |
| WS - QD-Benchmarks | Benchmark Tasks for Quality-Diversity Applied to Uncertain Domains | Manon Flageat (Imperial College), Luca Grillotti (Imperial College), Antoine Cully (Imperial College) |
| WS - QD-Benchmarks | Can the Problem-Solving Benefits of Quality Diversity Be Obtained Without Explicit Diversity Maintenance? | Ryan Boldi (University of Massachusetts Amherst), Lee Spector (Amherst College, University of Massachusetts Amherst) |
| WS - QD-Benchmarks | Kheperax: a Lightweight JAX-based Robot Control Environment for Benchmarking Quality-Diversity Algorithms | Luca Grillotti (Imperial College), Antoine Cully (Imperial College) |
| WS - QuantOpt | Solving the Flow-Shop Scheduling problem using Grover’s Algorithm | Malak Saiem (University of Technology of Troyes), Taha Arbaoui (University of Technology of Troyes), Faicel Hnaien (University of Technology of Troyes) |
| WS - QuantOpt | Comparing Solution Combination Techniques in Scatter Search for Quadratic Unconstrained Binary Optimization | Justin Pauckert (Fujitsu Limited, Technical Univ. Berlin), Pieter Debevere (Fujitsu Limited), Matthieu Parizy (Fujitsu Limited), Mayowa Ayodele (Fujitsu Research of Europe) |
| WS - QuantOpt | Quantum Enhancements for AlphaZero | James Chao (Naval Information Warfare Center Pacific), Ramiro Rodriguez (Naval Information Warfare Center Pacific), Sean Crowe (Naval Information Warfare Center Pacific) |
| WS - QuantOpt | Quantum Entanglement inspired Differential Evolution algorithm | Abhishek Dixit (Chongqing University), Ashish Mani (Amity University) |
| WS - QuantOpt | Entanglement Local Search-Assisted Quantum-Inspired Optimization for Portfolio Optimization in G20 Markets | Shu-Yu Kuo (National Taiwan University), Yun-Ting Lai (National Chi Nan University), Yu-Chi Jiang (National Taiwan University), Ming-Ho Chang (National Chi Nan University), Kun-Min Wu (National Chi Nan University), Po-Chun Chen (National Chi Nan University), Yu-Yu Chang (National Chi Nan University), Yong Feng Tong (National Chi Nan University), Yao-Hsin Chou (National Chi Nan University; Physics Division, National Center for Theoretical Sciences) |
| WS - QuantOpt | A Relative Approach to Comparative Performance Analysis for Quantum Optimization | Thomas Gabor (LMU Munich), Sebastian Zielinski (LMU Munich), Sofie Henghuber (LMU Munich), Claudia Linnhoff-Popien (LMU Munich) |
| WS - QuantOpt | Application of Quantum Annealing to Supply Chain Planning under Uncertainty | Jesus Garcia Garcia (TheNextPangea, Leiden University), Pablo Galan Jativa (TheNextPangea) |
| WS - QuantOpt | Influence of Different 3SAT-to-QUBO Transformations on the Solution Quality of Quantum Annealing: A Benchmark Study | Sebastian Zielinski (LMU Munich), Jonas Nüßlein (LMU Munich), Jonas Stein (LMU Munich), Thomas Gabor (LMU Munich), Claudia Linnhoff-Popien (LMU Munich), Sebastian Feld (Delft University of Technology) |
| WS - QuantOpt | Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA | Jonas Stein (LMU Munich), Farbod Chamanian (LMU Munich), Maximilian Zorn (LMU Munich), Jonas Nüßlein (LMU Munich), Sebastian Zielinski (LMU Munich), Michael Kölle (LMU Munich), Claudia Linnhoff-Popien (LMU Munich) |
| WS - QuantOpt | Applying Ising Machines to Multi-objective QUBOs | Mayowa Ayodele (Fujitsu Research of Europe), Richard Allmendinger (The University of Manchester), Manuel López-Ibáñez (The University of Manchester), Arnaud Liefooghe (Univ. Lille, CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL), Matthieu Parizy (Fujitsu Laboratories Ltd.) |
| WS - QuantOpt | Encoding the At-Most Constraint for QUBO and Quantum Annealing: Experiments with the N-Queens problem | Philippe Codognet (JFLI, Sorbonne University / CNRS; The University of Tokyo) |
| WS - QuantOpt | An Efficient QAOA via a Polynomial QPU-Needless Approach | Francisco Chicano (University of Malaga), Zakaria Dahi (University of Malaga), Gabriel Luque (University of Malaga) |
| WS - QuantOpt | Quantum Speed-ups for Single-machine Scheduling Problems | Camille Grange (Laboratory of Computer Science, Robotics and Microelectronics of Montpellier), Eric Bourreau (Laboratory of Computer Science, Robotics and Microelectronics of Montpellier), Michael Poss (Laboratory of Computer Science, Robotics and Microelectronics of Montpellier), Vincent T'kindt (Laboratory of Fundamental and Applied Computer Science of Tours) |
| WS - QuantOpt | Solving Scheduling Problems with Quantum Computing: a Study on Flexible Open Shop | Marco Baioletti (University of Perugia), Angelo Oddi (Consiglio Nazionale delle Ricerche, ISTC), Riccardo Rasconi (Consiglio Nazionale delle Ricerche, ISTC) |
| WS - SAEOpt | Sequential Hybridization of Online Surrogate Models for Continuous Optimization | Pablo S. Naharro (Universidad Politécnica de Madrid, Lurtis Rules), José-María Peña (Lurtis Ltd.), Antonio LaTorre (Universidad Politécnica de Madrid) |
| WS - SAEOpt | Bayesian Optimization For Choice Data | Alessio Benavoli (Trinity College Dubin), Dario Azzimonti (IDSIA Dalle Molle Institute for Artificial Intelligence Research), Dario Piga (IDSIA Dalle Molle Institute for Artificial Intelligence Research) |
| WS - SAEOpt | A New Acquisition Function for Multi-objective Bayesian Optimization: Correlated Probability of Improvement | Kaifeng Yang (FH Hagenberg), Kai Chen (Central South University), Michael Affenzeller (FH Hagenberg), Bernhard Werth (FH Hagenberg) |
| WS - SAEOpt | JADE with k Nearest Neighbors Surrogate Model | Konrad Krawczyk (Warsaw University of Technology), Jarosław Arabas (Warsaw University of Technology) |
| WS - SAEOpt | Cost-Aware Active Learning for Feasible Region Identification | Ioana Nikova (Siemens Industry Software, Ghent University), Tom Dhaene (Ghent University, Imec), Ivo Couckuyt (Ghent University, Imec) |
| WS - SAEOpt | A Robust Offline Data-Driven Evolutionary Optimization Algorithm for Solving Expensive Soft Pneumatic Actuator Design | Hao Chen (Zhejiang University), Zhenhua Wang (Zhejiang University), Kai Sun (Zhejiang University), Weicheng Cui (Westlake University), Weikun Li (Westlake University) |
| WS - SAEOpt | Dynamic Fidelity Selection for Hyperparameter Optimization | Shintaro Takenaga (University of Tsukuba, National Institute of Advanced Industrial Science and Technology), Yoshihiko Ozaki (National Institute of Advanced Industrial Science and Technology; GREE, Inc.), Masaki Onishi (National Institute of Advanced Industrial Science and Technology) |
| WS - SAEOpt | Repetitive Processes and Their Surrogate-Model Congruent Encoding for Evolutionary Algorithms - A Theoretic Proposal | Christina Plump (DFKI - Cyber Physical Systems), Bernhard Berger (Hamburg University of Technology), Rolf Drechsler (University Bremen, DFKI - Cyber Physical Systems) |
| WS - SBOX-COST | Evaluation of Algorithms from the Nevergrad Toolbox on the Strictly Box-Constrained SBOX-COST Benchmarking Suite | Konstantin Dietrich (TU Dresden, ScaDS.AI), Pascal Kerschke (TU Dresden, ScaDS.AI) |
| WS - SBOX-COST | Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite | Mădălina-Andreea Mitran (West University of Timisoara), Anna Kononova (LIACS, Leiden University), Fabio Caraffini (Swansea University), Daniela Zaharie (West University of Timisoara) |
| WS - SBOX-COST | Comparing Boundary Handling Techniques of CMA-ES on the bbob and sbox-cost Test Suites | Dimo Brockhoff (Inria, IP Paris) |
| WS - SBOX-COST | Exploring the Frequency of Boundary Control Methods Activation in Metaheuristic Algorithms | Tomas Kadavy (Tomas Bata University in Zlin), Michal Pluhacek (Tomas Bata University in Zlin), Adam Viktorin (Tomas Bata University in Zlin), Roman Senkerik (Tomas Bata University in Zlin) |
| WS - SBOX-COST | Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite | Diederick Vermetten (Leiden University), Manuel López-Ibáñez (University of Manchester), Olaf Mersmann (TH Köln), Richard Allmendinger (University of Manchester), Anna Kononova (Leiden University) |
| WS - SWINGA | An Improved Hybrid Multi-Objective Particle Swarm Optimization to Enhance Convergence and Diversity | Nazrul Islam (University of York), John Oyekan (University of York) |
| WS - SWINGA | Leveraging Large Language Models for the Generation of Novel Metaheuristic Optimization Algorithms | Michal Pluhacek (Tomas Bata University in Zlin), Anezka Kazikova (Tomas Bata University in Zlin), Tomas Kadavy (Tomas Bata University in Zlin), Adam Viktorin (Tomas Bata University in Zlin), Roman Senkerik (Tomas Bata University in Zlin) |
| WS - SWINGA | Configuring a Hierarchical Evolutionary Strategy Using Exploratory Landscape Analysis | Hubert Guzowski (AGH University of Science and Technology), Maciej Smołka (AGH University of Science and Technology) |
| WS - SWINGA | Maximizing Efficiency: A Comparative Study of SOMA Variants and Constraint Handling Methods for Time Delay System Optimization | Roman Senkerik (Tomas Bata University in Zlin), Tomas Kadavy (Tomas Bata University in Zlin), Peter Janku (Tomas Bata University in Zlin), Michal Pluhacek (Tomas Bata University in Zlin), Hubert Guzowski (AGH University of Science and Technology), Libor Pekar (Tomas Bata University in Zlin), Radek Matusu (Tomas Bata University in Zlin), Adam Viktorin (Tomas Bata University in Zlin), Maciej Smolka (AGH University of Science and Technology), Aleksander Byrski (AGH University of Science and Technology), Zuzana Kominkova Oplatkova (Tomas Bata University in Zlin) |
| WS - SWINGA | Exploring Adaptive Components of SOMA | Marcela Matusikova (Tomas Bata University in Zlin), Michal Pluhacek (Tomas Bata University in Zlin), Tomas Kadavy (Tomas Bata University in Zlin), Adam Viktorin (Tomas Bata University in Zlin), Roman Senkerik (Tomas Bata University in Zlin) |
| WS - SymReg | Priors For Symbolic Regression | Deaglan Bartlett (Institut d'Astrophysique de Paris), Harry Desmond (Institute of Cosmology & Gravitation), Pedro Ferreira (University of Oxford) |
| WS - SymReg | Evolving Deformable Mirror Control to Generate Partially Coherent Light Fields | Daniel Younis (Department of Physics and Astronomy, University of Rochester), Thomas Antonsen (University of Maryland), Luke Johnson (The MITRE Corporation), Eric Scott (The MITRE Corporation), Dmitri Kaganovich (Naval Research Laboratory), Bahman Hafizi (Naval Research Laboratory) |
| WS - SymReg | Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation | Du Nguyen Duy (Software Competence Center Hagenberg GmbH), Michael Affenzeller (University of Applied Sciences Upper Austria), Ramin Nikzad-Langerodi (Software Competence Center Hagenberg GmbH) |
| WS - SymReg | GECCO'2022 Symbolic Regression Competition: Post-Analysis of the Operon Framework | Bogdan Burlacu (University of Applied Sciences Upper Austria) |
| WS- Student | Gaggle: Genetic Algorithms on the GPU using PyTorch | Lucas Fenaux (University of Waterloo), Thomas Humphries (University of Waterloo), Florian Kerschbaum (University of Waterloo) |
| WS- Student | ATLAS - A Co-evolutionary Framework for Automatic Tuning of Adversarial Neural Networks | Saurav Shyju (Amrita Vishwa Vidyapeetham University), Ritwik Murali (Amrita Vishwa Vidyapeetham University) |
| WS- Student | Pretraining Reduces Runtime in Denoising Autoencoder Genetic Programming by an Order of Magnitude | Johannes Reiter (University of Applied Sciences Mainz), Dirk Schweim (University of Applied Sciences Mainz), David Wittenberg (Johannes Gutenberg University Mainz) |
| WS- Student | LSevoBN: a structure learning algorithm for large Bayesian networks | Yury Kaminsky (ITMO University), Irina Deeva (ITMO University) |
| WS- Student | The Effectiveness of Niching on OpenAI-Evolution Strategies in the Evolution of Robotic Behavior | Arthur Bianchini (Universidade Federal de Santa Catarina), Brenda Machado (Universidade Federal de Santa Catarina), Jônata Carvalho (Universidade Federal de Santa Catarina) |
| WS- Student | Evolution of Walsh Transforms with Genetic Programming | Luigi Rovito (University of Trieste), Andrea De Lorenzo (University of Trieste), Luca Manzoni (University of Trieste) |
| WS- Student | Exploratory Landscape Analysis Based Parameter Control | Maxim Pikalov (ITMO University), Aleksei Pismerov (ITMO University) |
| WS- Student | Comparison of Bayesian Optimization Algorithms for BBOB Problems in Dimensions 10 and 60 | Maria Laura Santoni (Sorbonne Université), Elena Raponi (Technical University of Munich, Sorbonne Université), Renato De Leone (University of Camerino), Carola Doerr (Sorbonne Université, CNRS) |
| WS- Student | Capacitated School Bus Routing Problem with Time Windows, Heterogeneous Fleets and Travel Assistants | Ozioma Paul (University of Manchester), Julia Handl (University of Manchester), Manuel Lopez-Ibanez (University of Manchester) |
| WS- Student | Neuroevolutionary Compiler Control for Code Optimization | Kade Heckel (University of Sussex) |
| WS- Student | Empirical Analysis of Crossover-Based Evolutionary Algorithms on Rugged Landscape | Simon Naumov (ITMO University) |
| WS- Student | A Dynamic Partial Update for Covariance Matrix Adaptation | Hiroki Shimizu (The University of Tokyo), Masashi Toyoda (Institute of industrial Science, the University of Tokyo) |