| WS - IAM | Energy Consumption in Electronic Component Manufacturing through Large Neighborhood Search | Francesca Da Ros (University of Udine, Intelligent Optimization Lab), Luca Di Gaspero (University of Udine, Intelligent Optimization Lab), Marie-Louise Lackner (TU Wien, Christian Doppler Laboratory), Nysret Musliu (TU Wien, Christian Doppler Laboratory) |
| WS - LLMfwEC | Comparing Large Language Models and Grammatical Evolution for Code Generation | Leonardo Lucio Custode (University of Trento), Chiara Camilla Migliore Rambaldi (University of Trento), Marco Roveri (University of Trento), Giovanni Iacca (University of Trento) |
| WS - LLMfwEC | A Critical Examination of Large Language Model Capabilities in Iteratively Refining Differential Evolution Algorithm | Michal Pluhacek (Tomas Bata University in Zlín), Jozef Kovac (Tomas Bata University in Zlín), Peter Janku (Tomas Bata University in Zlín), Tomas Kadavy (Tomas Bata University in Zlín), Roman Senkerik (Tomas Bata University in Zlín), Adam Viktorin (Tomas Bata University in Zlín) |
| WS - IWERL | XCS with dynamic sized experience replay for memory constrained applications | ANMOL SURHONNE (Technical University of Munich), Manuel Wensauer (Technical University of Munich), Florian Maurer (Technical University of Munich), Thomas Wild (Technical University of Munich), Andreas Herkersdorf (Technical University of Munich) |
| WS - LAHS | Violation Landscapes Using Different Definitions of Constraint Violation | Yusuke Yasuda (Tokyo Metropolitan University), Kenichi Tamura (Tokyo Metropolitan University), Keiichiro Yasuda (Tokyo Metropolitan University) |
| WS - IAM | A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare | Alexander Edward Ian Brownlee (University of Stirling), Sarah Louise Thomson (Edinburgh Napier University), Rachael Oladapo (NHS Scotland) |
| WS - SAEOpt | Solving Expensive Optimization Problems with Heterogeneous Constraint Costs | Kamrul Rahi (The University of New South Wales), Hemant Singh (The University of New South Wales), Tapabrata Ray (The University of New South Wales) |
| WS - ECADA | Towards Evolutionary-based Automated Machine Learning for Small Molecule Pharmacokinetic Prediction | Alex G. C. de Sá (Baker Heart and Diabetes Institute, University of Queensland), David B. Ascher (University of Queensland, Baker Heart and Diabetes Institute) |
| WS - EC+DM | Explaining Automatically Designed Software Defined Perimeters with a Two Phase Evolutionary Computation System | James Gunder Frazier (Hamilton College), Thomas Helmuth (Hamilton College) |
| WS - NEWK | ACO-Pruning for Deep Neural Networks: A Case Study in CNNs | Renato Sellaro Dorighello (Universidade Tecnológica Federal do Paraná), Myriam Regattieri Delgado (Universidade Tecnológica Federal do Paraná), Ricardo Lüders (Universidade Tecnológica Federal do Paraná), Daniel Fernando Pigatto (Universidade Tecnológica Federal do Paraná) |
| WS - Student Workshop | Balancing human livability and bumblebee population in urban green areas via Agent-Based Model and Evolutionary Algorithms | Chiara Camilla Migliore Rambaldi (University of Trento), Omar Rota Stabelli (Fondazione Edmund Mach), Giovanni Iacca (University of Trento) |
| WS - QuantOpt | Automated Tabu Tenure Tuning by Unique Move for Quadratic Unconstrained Binary Optimization | Masahiko Sugimura (Fujitsu Limited), Matthieu Parizy (Fujitsu Limited) |
| WS - Student Workshop | Enhancing Classification Through Multi-view Synthesis in Multi-Population Ensemble Genetic Programming | Mohammad Sadegh Khorshidi (University of Technology Sydney), Navid Yazdanjue (University of Technology Sydney), Hassan Gharoun (University of Technology Sydney), Danial Yazdani (University of Technology Sydney), Mohammad Reza Nikoo (Sultan Qaboos University), Fang Chen (University of Technology Sydney), Amir H. Gandomi (University of Technology Sydney) |
| WS - NEWK | Exploring the Search Space of Neural Network Combinations obtained with Efficient Model Stitching | Arthur Guijt (Centrum Wiskunde & Informatica (CWI)), Dirk Thierens (Utrecht University), Tanja Alderliesten (Leiden University Medical Center), Peter A.N. Bosman (Centrum Wiskunde & Informatica (CWI), Delft University of Technology) |
| WS - QuantOpt | Harnessing Inferior Solutions For Superior Outcomes: Obtaining Robust Solutions From Quantum Algorithms | Pascal Halffmann (Fraunhofer Institute for Industrial Mathematics ITWM), Michael Trebing (Fraunhofer Institute for Industrial Mathematics ITWM), Steve Lenk (Fraunhofer Institute of Optronics, System Technologies and Image Exploitation Advanced System Technology branch IOSB-AST) |
| WS - IWERL | A Closer Look at Length-niching Selection and Spatial Crossover in Variable-length Evolutionary Rule Set Learning | David Pätzel (University of Augsburg), Richard Nordsieck (XITASO GmbH IT & Software Solutions), Jörg Hähner (University of Augsburg) |
| WS - EGML-EC | Comparison of evolutionary approaches for searching the latent space of Generative Adversarial Networks for the human face generation problem | Jimena Mignaco (Universidad de la República), Gonzalo Rey (Universidad de la República), Jairo Correa (Universidad de la República), Sergio Nesmachnow (Universidad de la República), Jamal Toutouh (Universidad de Málaga, Massachusetts Institute of Technology) |
| WS - ECADA | Dynamic Neural Architecture Search for Image Classification | Mia Gerber (University of Pretoria), Nelishia Pillay (University of Pretoria) |
| WS - GGP | Byron: A Fuzzer for Turing-complete Test Programs | Marco Sacchet (Politecnico di Torino), Dimitri Masetta (Politecnico di Torino), Giovanni Squillero (Politecnico di Torino), Alberto Tonda (MIA-PS, INRAE, Université Paris-Saclay, Institut des Systèmes Complexes de Paris Île-de-France) |
| WS - ECADA | Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search | Pengfei Xia (University of Science and Technology of China), Ziqiang Li (University of Science and Technology of China), Bin Li (University of Science and Technology of China) |
| WS - IWERL | A Survey on Learning Classifier Systems from 2022 to 2024 | Abubakar Siddique (Wellington Institute of Technology), Michael Heider (Universität Augsburg), Muhammad Iqbal (Higher Colleges of Technology), Hiroki Shiraishi (Yokohama National University) |
| WS - EvoOSS | EvoAl - Codeless Domain-Optimisation | Bernhard J. Berger (University of Rostock, Hamburg University of Technology), Christina Plump (DFKI GmbH - Cyber-Physical Systems), Lauren Paul (University of Bremen), Rolf Drechsler (University of Bremen) |
| WS - SWINGA | Critical Analysis of Raven Roost Optimization | Martijn Halsema (Leiden University), Diederick Vermetten (Leiden University), Thomas Bäck (Leiden University), Niki Van Stein (Leiden University) |
| WS - SymReg | Comparing Methods for Estimating Marginal Likelihood in Symbolic Regression | Patrick Leser (NASA Langley Research Center), Geoffrey Bomarito (NASA Langley Research Center), Gabriel Kronberger (University of Applied Sciences Upper Austria), Fabrício Olivetti de França (Universidade Federal do ABC) |
| WS - EC+DM | Dynamic Constrained Multiobjective Algorithm Based on Feasible Region Prediction | Zhiye Guo (Xidian University), Jingxuan Wei (Xidian University), Binhao Liang (Xidian University), Fengqin Liang (Xidian University) |
| WS - Student Workshop | Evolutionary image vectorization with variable curve number | Egor Bazhenov (ITMO University), Ivan Jarsky (ITMO University), Valeria Efimova (ITMO University), Sergey Muravyov (ITMO University) |
| WS - SymReg | Interactive Symbolic Regression - A Study on Noise Sensitivity and Extrapolation Accuracy | Sanjith Raghav S (Amrita Vishwa Vidyapeetham), Tejesh Kumar S (Amrita Vishwa Vidyapeetham), Rishiikesh B (Amrita Vishwa Vidyapeetham), Sanjay M (Amrita Vishwa Vidyapeetham), Shunmuga Velayutham C (Amrita Vishwa Vidyapeetham) |
| WS - IAM | Advancing Project Management: Integrating Material Delivery in Multi-Contractor Multi-Mode RCPSP | Anastasiia Filatova (ITMO University), Ivan Perov (ITMO University), Egor Timoschak (ITMO University), Stanislav Batalenkov (ITMO University), Mikhail Kovalchuk (ITMO University), Denis Nasonov (ITMO University) |
| WS - IAM | A Matheuristic Algorithm to Optimise Multi-Objective Production Scheduling in a Manufacturing Plant with Fluctuating Raw Material Supplies | Abtin Nourmohammadzadeh (University of Hamburg), Stefan Voß (University of Hamburg) |
| WS - IWERL | XCS: Is Covering All You Need? | Connor Schönberner (Kiel University), Sven Tomforde (Kiel University) |
| WS - EEAI | Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture | Leni Le Goff (Edinburgh Napier University), Emma Hart (Edinburgh Napier University) |
| WS - IAM | Assessing PV Integration with Evolutionary Algorithms: Insights from the 2024 Competition on Evolutionary Computation in the Energy Domain | Fernando Lezama (GECAD, Polytechnic of Porto), José Almeida (GECAD, Polytechnic of Porto), João Soares (GECAD, Polytechnic of Porto), Zita Vale (GECAD, Polytechnic of Porto), Wenlei Bai (Oracle Energy and Water), Kwang Y. Lee (Baylor University), Wen Zhang (Baylor University) |
| WS - Student Workshop | Genetic Programming for the Reconstruction of Delay Differential Equations in Economics | Teresa Tonelli (Università degli Studi di Trieste), Gloria Pietropolli (Università degli Studi di Trieste), Gabriele Sbaiz (Università degli Studi di Trieste), Luca Manzoni (Università degli Studi di Trieste) |
| WS - ECXAI | Explaining evolutionary feature selection via local optima networks | Jason Adair (University of Stirling), Sarah L. Thomson (Edinburgh Napier University), Alexander E.I. Brownlee (University of Stirling) |
| WS - QuantOpt | Using an Evolutionary Algorithm to Create (MAX)-3SAT QUBOs | Sebastian Zielinski (LMU Munich), Maximilian Zorn (LMU Munich), Thomas Gabor (LMU Munich), Sebastian Feld (Delft University of Technology), Claudia Linnhoff-Popien (LMU Munich) |
| WS - ECXAI | Drawing Attributions From Evolved Counterfactuals | Jan Jakubik (Wroclaw University of Science and Technology), Halina Kwaśnicka (Wroclaw University of Science and Technology) |
| WS - EvoOSS | GOLEM: Flexible Evolutionary Design of Graph Representations of Physical and Digital Objects | Maiia Pinchuk (ITMO University), Grigorii Kirgizov (ITMO University), Lyubov Yamshchikova (ITMO University), Nikolay Nikitin (ITMO University), Irina Deeva (ITMO University), Karine Shakhkyan (ITMO University), Ivan Borisov (ITMO University), Kirill Zharkov (ITMO University), Anna Kalyuzhnaya (ITMO University) |
| WS - iGECCO | A User-Guided Generation Framework for Personalized Music Synthesis Using Interactive Evolutionary Computation | Yanan Wang (University of Aizu), Yan Pei (University of Aizu), Zerui Ma (Beijing University of Technology), Jianqiang Li (Beijing University of Technology) |
| WS - AABOH | Measuring Population Diversity in Variable Dimension Search Spaces | Michal Pluhacek (Tomas Bata University in Zlín), Adam Viktorin (Tomas Bata University in Zlín), Tomas Kadavy (Tomas Bata University in Zlín), Jozef Kovac (Tomas Bata University in Zlín), Roman Senkerik (Tomas Bata University in Zlín) |
| WS - NEWK | Concordance Index in Regression-based Survival Analysis: Evolutionary Discovery of Loss Function for Neural Networks | Mohammed Ghaith Altarabichi (Halmstad University), Abdallah Alabdallah (Halmstad University), Sepideh Pashami (Halmstad University), Thorsteinn Rögnvaldsson (Halmstad University), Sławomir Nowaczyk (Halmstad University), Mattias Ohlsson (Halmstad University) |
| WS - EGML-EC | A Generative Evolutionary Many-Objective Framework: A Case Study in Antimicrobial Agent Design | Matheus Müller Pereira da Silva (Laboratório Nacional de Computação Científica (LNCC/MCTI)), Jaqueline da Silva Angelo (Fundação Oswaldo Cruz (Fiocruz)), Isabella Alvim Guedes (Laboratório Nacional de Computação Científica (LNCC/MCTI)), Laurent Emmanuel Dardenne (Laboratório Nacional de Computação Científica (LNCC/MCTI)) |
| WS - IAM | Efficient Scheduling of GECCO Conferences using Hyper-heuristic Algorithms | Ahmed Kheiri (Lancaster University), Yaroslav Pylyavskyy (Lancaster University), Peter Jacko (Lancaster University) |
| WS - GGP | Directed Acyclic Program Graph Applied to Supervised Classification | Thibaut Bellanger (ESIEA, Université d'Angers), Matthieu Le Berre (ESIEA), Manuel Clergue (ESIEA), Jin-Kao Hao (Université d'Angers) |
| WS - SymReg | Characterising the Double Descent of Symbolic Regression | Grant Dick (University of Otago), Caitlin A. Owen (University of Otago) |
| WS - QuantOpt | Stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models | Shailendra Bhandari (Department of Computer Science, Oslo Metropolitan University), Pedro Lencastre (Department of Computer Science, Oslo Metropolitan University), Pedro Lind (Department of Computer Science, Oslo Metropolitan University, Simula Research Laboratory, Numerical Analysis and Scientific Computing) |
| WS - Student Workshop | Is greed still good in multi-objective Bayesian optimisation? | Frederico Leite Richardson (University of Exeter), George De Ath (University of Exeter), Tinkle Chugh (University of Exeter) |
| WS - Student Workshop | TextNet: An Neural Architecture Search Method based on Rapid Text Processing Network Structure Analysis | Siyuan Chen (Jiangnan University), Wei Fang (Jiangnan University), Shuwei Zhu (Jiangnan University) |
| WS - SWINGA | Visualising Found Solutions and Measures for Dynamic Multi-objective Optimisation | Marde Helbig (Griffith University) |
| WS - LLMfwEC | L-AutoDA: Large Language Models for Automatically Evolving Decision-based Adversarial Attacks | Ping Guo (City University of Hong Kong), Fei Liu (City University of Hong Kong), Xi Lin (City University of Hong Kong), Qingchuan Zhao (City University of Hong Kong), Qingfu Zhang (City University of Hong Kong) |
| WS - EvoOSS | EasyLocal++ a 25-year Perspective on Local Search Frameworks | Sara Ceschia (University of Udine, Intelligent Optimization Lab), Francesca Da Ros (University of Udine, Intelligent Optimization Lab), Luca Di Gaspero (University of Udine, Intelligent Optimization Lab), Andrea Schaerf (University of Udine, Intelligent Optimization Lab) |
| WS - Student Workshop | Evolving Quantum Logic Gate Circuits in Qiskit | Thomas Robert Newbold (University of Exeter), Alberto Moraglio (University of Exeter) |
| WS - GGP | On Search Trajectory Networks for Graph Genetic Programming | Camilo De La Torre (University of Toulouse, IRIT), Sylvain Cussat-Blanc (University of Toulouse, IRIT), Dennis Wilson (ISAE-SUPAERO, Université de Toulouse, University of Toulouse), Yuri Lavinas (CRCT - INSERM) |
| WS - SymReg | Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics | Hongyu Liu (University of Science and Technology of China), Haoyang Liu (University of Science and Technology of China), Yufei Kuang (University of Science and Technology of China), Jie Wang (University of Science and Technology of China), Bin Li (University of Science and Technology of China) |
| WS - AABOH | Analyzing the Runtime of the Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) on the Concatenated Trap Function | Yukai Qiao (University of Queensland), Marcus Gallagher (University of Queensland) |
| WS - NEWK | Enabling An Informed Contextual Multi-Armed Bandit Framework For Stock Trading With Neuroevolution | Devroop Kar (Rochester Institute of Technology), Zimeng Lyu (Rochester Institute of Technology), Alexander G. Ororbia (Rochester Institute of Technology), Travis Desell (Rochester Institute of Technology), Daniel Krutz (Rochester Institute of Technology) |
| WS - QuantOpt | Benchmarks for Digital Annealer with Quadratic Constrained Binary Optimization Problems | Hiroaki Kameyama (Fujitsu Limited), Yutaka Takita (Fujitsu Limited), Matthieu Parizy (Fujitsu Limited) |
| WS - Student Workshop | Shadow Gene Guidance: A Novel Approach for Elevating Genetic Programming Classifications and Boosting Predictive Confidence | Hassan Gharoun (University of Technology Sydney), Mohammad Sadegh Khorshidi (University of Technology Sydney), Navid Yazdanjue (University of Technology Sydney), Fang Chen (University of Technology Sydney), Amir H. Gandomi (University of Technology Sydney, University Research and Innovation Center (EKIK)) |
| WS - IAM | Modular Optimization Framework for Mixed Expensive and Inexpensive Real-World Problems | Roy de Winter (Leiden University, C-Job Naval Architects), Thomas Bäck (Leiden University), Niki van Stein (Leiden University) |
| WS - Student Workshop | SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic Paradigm | Junhao Song (Imperial College London, Heriot-Watt University), Yingfang Yuan (Heriot-Watt University), Wei Pang (Heriot-Watt University) |
| WS - SWINGA | Using LLM for Automatic Evolvement of Metaheuristics from Swarm Algorithm SOMA | Michal Pluhacek (Tomas Bata University in Zlín), Jozef Kovac (Tomas Bata University in Zlín), Adam Viktorin (Tomas Bata University in Zlín), Peter Janku (Tomas Bata University in Zlín), Tomas Kadavy (Tomas Bata University in Zlín), Roman Senkerik (Tomas Bata University in Zlín) |
| WS - QuantOpt | Enhanced QUBO Formulations for The Flow Shop Scheduling Problem | Yousra Farhani (Ecole Superieure d'Informatique), Malak Saiem (University of Technology of Troyes), Taha Arbaoui (INSA Lyon, Université Lumière Lyon 2, Université Claude Bernard Lyon 1, Université Jean Monnet Saint-Etienne, DISP UR4570), Faicel Hnaien (University of Technology of Troyes) |
| WS - EEAI | Synthetic Tabular Data by Using Image Generative Adversarial Networks | Bi Li (Guangdong University of Foreign Studies), Boyu Chen (Guangdong University of Foreign Studies), Nankai Lin (Guangdong University of Foreign Studies), Xueming Yan (Guangdong University of Foreign Studies), Yue Xie (University of Cambridge), Zhifeng Hao (Shantou University) |
| WS - QuantOpt | On Solving the Capacitated Vehicle Routing Problem with Time Windows using Quantum Annealing | Axel Vargas (Siemens AG), Pradyumn Shukla (University of Manchester, Karlsruhe Institute of Technology), Richard Allmendinger (University of Manchester), Andreas Jaeger (Siemens AG) |
| WS - QuantOpt | Solving the Turbine Balancing Problem using Quantum Annealing | Arnold Unterauer (Aqarios GmbH), David Bucher (Aqarios GmbH), Matthias Knoll (Aqarios GmbH), Constantin Economides (Aqarios GmbH), Michael Lachner (Aqarios GmbH), Thomas Germain (MTU Aero Engines AG), Moritz Kessel (MTU Aero Engines AG), Smajo Hajdinovic (MTU Aero Engines AG), Jonas Stein (Aqarios GmbH) |
| WS - SymReg | Accelerating GP Genome Evaluation Through Real Compilation with a Multiple Program Single Data Approach | Vinícius Veloso de Melo (Nasdaq), Wolfgang Banzhaf (Michigan State University), Giovanni Iacca (University of Trento) |
| WS - IWERL | Classifier Systems as a Solver for the Abstraction and Reasoning Corpus | Cameron Coombe (Queensland University of Technology, CSIRO Data61), David Howard (CSIRO Data61), Will Browne (Queensland University of Technology) |
| WS - IAM | On Constructing Algorithm Portfolios in Algorithm Selection for Computationally Expensive Black-box Optimization in the Fixed-budget Setting | Takushi Yoshikawa (Yokohama National University), Ryoji Tanabe (Yokohama National University) |
| WS - IAM | Structural Optimization with Isogeometric Representation using an Evolutionary Approach | Subodh Kalia (Syracuse University), Nikhil Padhye (Syracuse University), Chilukuri Mohan (Syracuse University) |
| WS - ECXAI | Instances in the health domain based on the exploration of a dataset's hardness embedding | Maria Gabriela Valeriano (Instituto Tecnológico de Aeronáutica, Universidade Federal de São Paulo), João Luiz Junho Pereira (Instituto Tecnológico de Aeronáutica), Carlos Roberto Veiga Kiffer (Universidade Federal de São Paulo), Ana Carolina Lorena (Instituto Tecnológico de Aeronáutica) |
| WS - LLMfwEC | Classifier Systems as a Solver for the Abstraction and Reasoning Corpus | Sardar Mehtab Bin Murtaza (Michigan State University), Aidan McCoy (Michigan State University), Zhiyuan Ren (Michigan State University), Aidan Murphy (University College Dublin, Michigan State University), Wolfgang Banzhaf (Michigan State University) |
| WS - IAM | Improving the Efficiency Of Genetic Programming for Classification Tasks Using a Phased Approach | Darren M. Chitty (University of Exeter) |
| WS - LLMfwEC | An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms | Leonardo Lucio Custode (University of Trento), Fabio Caraffini (Swansea University), Anil Yaman (Vrije Universiteit Amsterdam), Giovanni Iacca (University of Trento) |
| WS - AABOH | Correlation-based Analysis of the Influence of Bound Constraint Handling Methods on Population Dynamics in Differential Evolution | Madalina Andreea Mitran (West University of Timisoara) |
| WS - NEWK | Efficacy of using a dynamic length implementation vs. a fixed-length for neuroarchitecture search | Mark Coleti (Oak Ridge National Laboratory), Chathika Gunaratne (Oak Ridge National Laboratory), Steven Young (Oak Ridge National Laboratory), Swetha Varadarajan (ACM), Robert Patton (Oak Ridge National Laboratory), Tom Potok (Oak Ridge National Laboratory) |
| WS - SAEOpt | Empirical Study of Surrogate Model Assisting JADE: Relation Between the Model Accuracy and the Optimization Efficiency | Konrad Krawczyk (Warsaw University of Technology), Jarosław Arabas (Warsaw University of Technology) |
| WS - NEWK | The Effect of Training Schedules on Morphological Robustness and Generalization | Edoardo Barba (University of Trento), Anil Yaman (Vrije Universiteit Amsterdam), Giovanni Iacca (University of Trento) |
| WS - QuantOpt | A Simple QUBO Formulation of Sudoku | Sascha Mücke (TU Dortmund) |
| WS - SWINGA | Solving QUBO with MOPSO and Decomposition | Kojiro Noborio (Osaka Metropolitan University), Noriyuki Fujimoto (Osaka Metropolitan University) |
| WS - ECXAI | Explaining Session-based Recommendations using Grammatical Evolution | Piotr Lipinski (Computational Intelligence Research Group, Institute of Computer Science, University of Wroclaw), Klaudia Balcer (Computational Intelligence Research Group, Institute of Computer Science, University of Wroclaw) |
| WS - Student Workshop | A novel unsupervised segmentation approach for brain computed tomography employing hyperparameter optimization | Paulo Victor dos Santos (Universidade Federal de Goiás), Marcella Scoczynski (Federal University of Technology – Paraná), Solange Amorim Nogueira (Hospital Israelita Albert Einstein), Rafael Maffei Loureiro (Hospital Israelita Albert Einstein), Cristhiane Gonçalves (Federal University of Technology – Paraná), Wesley Pacheco Calixto (Universidade Federal de Goiás) |
| WS - NEWK | Investigating Hyperparameter Optimization and Transferability for ES-HyperNEAT: A TPE Approach | Romain Claret (University of Neuchâtel, University College Dublin), Michael O'Neill (University College Dublin), Paul Cotofrei (University of Neuchâtel), Kilian Stoffel (University of Neuchâtel) |
| WS - NEWK | Eventually, all you need is a simple evolutionary algorithm (for neuroevolution of continuous control policies) | Michel El Saliby (DIA, University of Trieste), Giorgia Nadizar (DMG, University of Trieste), Erica Salvato (DIA, University of Trieste), Eric Medvet (DIA, University of Trieste) |
| WS - GGP | Minimizing the EXA-GP Graph-Based Genetic Programming Algorithm for Interpretable Time Series Forecasting | Jared Murphy (Rochester Institute of Technology), Travis Desell (Rochester Institute of Technology) |