Best Paper Nominations

  • The following papers have been nominated for a Best Paper Award.
  • For each Best Paper (one per track, or group of small tracks), the final choice will be made by GECCO attendees.

List of Best Paper Nominations

TrackTitleAuthors
EMOPareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and ExpressivenessArnaud Liefooghe (University of Lille, Inria), Gabriela Ochoa (University of Stirling), Sébastien Verel (Université du Littoral Côte d'Opale), Bilel Derbel (University of Lille, Inria)
EMOMany-objective (Combinatorial) Optimization is EasyArnaud Liefooghe (University of Lille, Inria), Manuel López-Ibáñez (University of Manchester)
CSSelection for short-term empowerment accelerates the evolution of homeostatic neural cellular automataCaitlin Grasso (University of Vermont), Josh Bongard (University of Vermont)
GPFast and Efficient Local-Search for Genetic Programming Based Loss Function LearningChristian Raymand (Victoria University of Wellington), Qi Chen (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington)
RWAAutomatic Hyper-Heuristic to Generate Heuristic-based Adaptive Sliding Mode Controller Tuners for Buck-Boost ConvertersDaniel Zambrano-Gutierrez (Tecnológico de Monterrey), Jorge Cruz-Duarte (Tecnológico de Monterrey), Herman Castañeda (Tecnológico de Monterrey)
ENUMUsing Affine Combinations of BBOB Problems for Performance AssessmentDiederick Vermetten (Leiden University), Furong Ye (Leiden University), Carola Doerr (Sorbonne Universite, CNRS)
TheoryCalculating lexicase selection probabilities is NP-HardEmily Dolson (Michigan State University)
ACO-SIThe Impact of Morphological Diversity in Robot SwarmsGeoff Nitschke (UCT), Sindiso Mkhatshwa (UCT)
EMLFuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier SystemsHiroki Shiraishi (Yokohama National University), Yohei Hayamizu (The State University of New York at Binghamton), Tomonori Hashiyama (The University of Electro-Communications)
ECOMQ-Learning Ant Colony Optimization supported by Deep Learning for Target Set SelectionJairo Enrique Ramírez Sánchez (Tecnologico de Monterrey), Camilo Chacón Sartori (IIIA-CSIC), Christian Blum (IIIA-CSIC)
ACO-SIPid-Inspired Modifications in Response Threshold Models In Swarm Intelligent SystemsMaryam Kebari (University of Central Florida), Annie Wu (University of Central Florida), H. Mathias (University of Wisconsin-La Crosse)
ENUMCMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems?Masahiro Nomura (Tokyo Institute of Technology), Youhei Akimoto (University of Tsukuba, RIKEN AIP), Isao Ono (Tokyo Institute of Technology)
EMLInteractive Latent Diffusion ModelMathurin Videau (Meta, Inria Saclay–Île-de-France), Nickolai Knizev (Meta), Alessandro Leite (Inria Saclay–Île-de-France), Marc Schoenauer (Inria Saclay–Île-de-France), Olivier Teytaud (Meta)
EMLCovariance Matrix Adaptation MAP-AnnealingMatthew Fontaine (University of Southern California), Stefanos Nikolaidis (University of Southern California)
RWAMulti-Objective Multi-Gene Genetic Programming for the Prediction of Leakage in Water Distribution NetworksMatthew Hayslep (University of Exeter), Edward Keedwell (University of Exeter), Raziyeh Farmani (University of Exeter)
CSMAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single PolicyMaxence Faldor (Imperial College London), Félix Chalumeau (InstaDeep), Manon Flageat (Imperial College London), Antoine Cully (Imperial College London)
GAFirst Improvement Hill Climber with Linkage Learning -- on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning Genetic AlgorithmsMichal Przewozniczek (Wroclaw University of Science and Technology), Renato Tinós (University of São Paulo), Marcin Komarnicki (Wroclaw University of Science and Technology)
SBSELearning by Viewing: Generating Test Inputs for Games by Integrating Human Gameplay Traces in NeuroevolutionPatric Feldmeier (University of Passau), Gordon Fraser (University of Passau)
GADiscovering Attention-Based Genetic Algorithms via Meta-Black-Box OptimizationRobert Lange (Technical Univ. Berlin), Tom Schaul (Google DeepMind), Yutian Chen (Google DeepMind), Chris Lu (University of Oxford), Tom Zahavy (Google DeepMind), Valentin Dalibard (Google DeepMind), Sebastian Flennerhag (Google DeepMind)
EMOOn the Unbounded External Archive and Population Size in Preference-based Evolutionary Multi-objective Optimization Using a Reference PointRyoji Tanabe (Yokohama National University)
GECHQuality-diversity in dissimilarity spacesSteve Huntsman (STR)
GPFully Autonomous Programming with Large Language ModelsVadim Liventsev (Technical University of Eindhoven, Philips Research), Anastasiia Grishina (Simula Research Laboratory, University of Oslo), Aki Härmä (Philips Research), Leon Moonen (Simula Research Laboratory, BI Norwegian Business School)
ECOMNew Knowledge about the Elementary Landscape Decomposition for Solving the Quadratic Assignment ProblemXabier Benavides (Basque Center for Applied Mathematics, University of the Basque Country), Josu Ceberio (University of the Basque Country), Leticia Hernando (University of the Basque Country), Jose Antonio Lozano (Basque Center for Applied Mathematics, University of the Basque Country)
NEFast Evolutionary Neural Architecture Search by Contrastive Predictor with Linear RegionsYameng Peng (RMIT University), Andy Song (RMIT University), Vic Ciesielski (RMIT University), Haytham Fayek (RMIT University), Xiaojun Chang (University of Technology Sydney)
ENUMEvolutionary Mixed-Integer Optimization with Explicit ConstraintsYuan Hong (Dalhousie University), Dirk Arnold (Dalhousie University)
GPGrammar-guided Linear Genetic Programming for Dynamic Job Shop SchedulingZhixing Huang (Victoria University of Wellington), Yi Mei (Victoria University of Wellington), Fangfang Zhang (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington)