| 2023 | (1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems. Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa |
| 2023 | 3-Objective Pareto Optimization for Problems with Chance Constraints. Frank Neumann, Carsten Witt |
| 2023 | A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2023 | A Fast Multi-objective Evolutionary Approach for Designing Large-Scale Optical Mode Sorter. Annibale Panichella, Giuseppe Di Domenico |
| 2023 | A Fully-distributed Shape-aware Neural Controller for Modular Robots. Giorgia Nadizar, Eric Medvet, Kathryn Walker, Sebastian Risi |
| 2023 | A General Purpose Representation and Adaptive EA for Evolving Graphs. Eric Medvet, Simone Pozzi, Luca Manzoni |
| 2023 | A MILP-Based Very Large-Scale Neighborhood Search for the Heterogeneous Vehicle Routing Problem with Simultaneous Pickup and Delivery. Napoleão Nepomuceno, Ricardo Barboza Saboia, André L. V. Coelho |
| 2023 | A Study of Ant-Based Pheromone Spaces for Generation Perturbative Hyper-Heuristics. Emilio Singh, Nelishia Pillay |
| 2023 | A Two-Stage Multi-Objective Evolutionary Reinforcement Learning Framework for Continuous Robot Control. Hai-Long Tran, Long Doan, Ngoc Hoang Luong, Huynh Thi Thanh Binh |
| 2023 | A hierarchical clustering-based cooperative multi-population many-objective optimization algorithm. Na Yang, Quan Zhang, Ying Wu, Yisu Ge, Zhenzhou Tang |
| 2023 | AI for Scientific Discovery and a Sustainable Future. Carla Pedro Gomes |
| 2023 | Accelerating Evolution Through Gene Masking and Distributed Search. Hormoz Shahrzad, Risto P. Miikkulainen |
| 2023 | Adaptive Donor Selection Mixing for Multi-objective Optimization: an Enhanced Variant of MO-GOMEA. Hsu Chen Liao, Wen Zhong Fang, Tian-Li Yu |
| 2023 | Adaptive Search-based Repair of Deep Neural Networks. Davide Li Calsi, Matias Duran, Thomas Laurent, Xiao-Yi Zhang, Paolo Arcaini, Fuyuki Ishikawa |
| 2023 | Adaptive Team Cooperative Co-Evolution for a Multi-Rover Distribution Problem. Nicolas Fontbonne, Nicolas Maudet, Nicolas Bredèche |
| 2023 | Aggregation Through Adaptive Random Walks in a Minimalist Robot Swarm. Luigi Feola, Antoine Sion, Vito Trianni, Andreagiovanni Reina, Elio Tuci |
| 2023 | Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2023 | An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification. Gonglin Yuan, Bing Xue, Mengjie Zhang |
| 2023 | An Investigation of Geometric Semantic GP with Linear Scaling. Giorgia Nadizar, Fraser Garrow, Berfin Sakallioglu, Lorenzo Canonne, Sara Silva, Leonardo Vanneschi |
| 2023 | Analysing Equilibrium States for Population Diversity. Johannes Lengler, Andre Opris, Dirk Sudholt |
| 2023 | Analysing the Robustness of NSGA-II under Noise. Duc-Cuong Dang, Andre Opris, Bahare Salehi, Dirk Sudholt |
| 2023 | Analysis of (1+1) EA on LeadingOnes with Constraints. Tobias Friedrich, Timo Kötzing, Aneta Neumann, Frank Neumann, Aishwarya Radhakrishnan |
| 2023 | Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendIt. Per Kristian Lehre, Mario Alejandro Hevia Fajardo, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly |
| 2023 | Automated Repair of Unrealisable LTL Specifications Guided by Model Counting. Matías Brizzio, Maxime Cordy, Mike Papadakis, César Sánchez, Nazareno Aguirre, Renzo Degiovanni |
| 2023 | Automatic Hyper-Heuristic to Generate Heuristic-based Adaptive Sliding Mode Controller Tuners for Buck-Boost Converters. Daniel F. Zambrano-Gutierrez, Jorge Mario Cruz-Duarte, Herman Castañeda |
| 2023 | Bayesian Quality Diversity Search with Interactive Illumination. Paul Kent, Jürgen Branke |
| 2023 | Biological insights on grammar-structured mutations improve fitness and diversity. Stefano Tiso, Pedro Carvalho, Nuno Lourenço, Penousal Machado |
| 2023 | CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? Masahiro Nomura, Youhei Akimoto, Isao Ono |
| 2023 | Calculating lexicase selection probabilities is NP-Hard. Emily L. Dolson |
| 2023 | Channel Configuration for Neural Architecture: Insights from the Search Space. Sarah L. Thomson, Gabriela Ochoa, Nadarajen Veerapen, Krzysztof Michalak |
| 2023 | ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design. Pier Luca Lanzi, Daniele Loiacono |
| 2023 | Co-evolution improves the efficiency of preference learning methods when the Decision Maker's aspirations develop over time. Michal Tomczyk, Milosz Kadzinski |
| 2023 | Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO. Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2023 | Combined Layout Optimization of Wind Farm and Cable Connection on Complex Terrain Using a Genetic Algorithm. Daiki Kiribuchi, Ryoko Hatakeyama, Tomoshi Otsuki, Tatsuya Yoshioka, Kana Konno, Takumi Matsuda |
| 2023 | Combining Evolutionary Algorithms with Reaction Rules Towards Focused Molecular Design. João Correia, Vitor Pereira, Miguel Rocha |
| 2023 | Comma Selection Outperforms Plus Selection on OneMax with Randomly Planted Optima. Joost Jorritsma, Johannes Lengler, Dirk Sudholt |
| 2023 | Comparing Metaheuristic Optimization Algorithms for Ambulance Allocation: An Experimental Simulation Study. Magnus Eide Schjølberg, Nicklas Paus Bekkevold, Xavier F. C. Sánchez-Díaz, Ole Jakob Mengshoel |
| 2023 | Comparing the expressive power of Strongly-Typed and Grammar-Guided Genetic Programming. Alcides Fonseca, Diogo Poças |
| 2023 | Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms. François Clément, Diederick Vermetten, Jacob de Nobel, Alexandre D. Jesus, Luís Paquete, Carola Doerr |
| 2023 | Cooperative Co-Evolution for Ensembles of Nested Dichotomies for Multi-Class Classification. Marcel Wever, Miran Özdogan, Eyke Hüllermeier |
| 2023 | Covariance Matrix Adaptation MAP-Annealing. Matthew C. Fontaine, Stefanos Nikolaidis |
| 2023 | Decomposition-Based Multi-Objective Evolutionary Algorithm with Model-Based Ideal Point Estimation. Yin Wu, Ruihao Zheng, Zhenkun Wang |
| 2023 | Differentiable Soft-Robot Generation. François Cochevelou, David Leo Bonner, Martin-Pierre Schmidt |
| 2023 | Directed Quick Search Guided Evolutionary Algorithm for Large-scale Multi-objective Optimization Problems. Ying Wu, Na Yang, Long Chen, Ye Tian, Zhenzhou Tang |
| 2023 | Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization. Robert Tjarko Lange, Tom Schaul, Yutian Chen, Chris Lu, Tom Zahavy, Valentin Dalibard, Sebastian Flennerhag |
| 2023 | Diversity Optimization for the Detection and Concealment of Spatially Defined Communication Networks. Aneta Neumann, Sharlotte Gounder, Xiankun Yan, Gregory Sherman, Benjamin Campbell, Mingyu Guo, Frank Neumann |
| 2023 | Divide and conquer: Using single objective dispatching rules to improve convergence for multi-objective optimisation. Marko Durasevic, Francisco Javier Gil Gala, Domagoj Jakobovic |
| 2023 | Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains. Luca Grillotti, Manon Flageat, Bryan Lim, Antoine Cully |
| 2023 | Doubly Stochastic Matrix Models for Estimation of Distribution Algorithms. Valentino Santucci, Josu Ceberio |
| 2023 | Down-Sampled Epsilon-Lexicase Selection for Real-World Symbolic Regression Problems. Alina Geiger, Dominik Sobania, Franz Rothlauf |
| 2023 | Dynamic Depth for Better Generalization in Continued Fraction Regression. Pablo Moscato, Andrew Ciezak, Nasimul Noman |
| 2023 | DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2023 | EA-based ASV Trajectory Planner for Detecting Cyanobacterial Blooms in Freshwater. Gonzalo Carazo-Barbero, Eva Besada-Portas, José Luis Risco-Martín, José Antonio López Orozco |
| 2023 | Effective EEG Feature Selection for Interpretable MDD (Major Depressive Disorder) Classification. Vojtech Mrazek, Soyiba Jawed, Muhammad Arif, Aamir Saeed Malik |
| 2023 | Effective Parallelization of the Vehicle Routing Problem. Rajesh Pandian Muniasamy, Somesh Singh, Rupesh Nasre, N. S. Narayanaswamy |
| 2023 | Effects of Dominance Modification on Hypervolume-based and IGD-based Performance Evaluation Results of NSGA-II. Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2023 | Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization. Cheng Gong, Yang Nan, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2023 | Effects of Objective Space Normalization in Multi-Objective Evolutionary Algorithms on Real-World Problems. Linjun He, Yang Nan, Hisao Ishibuchi, Dipti Srinivasan |
| 2023 | Enhanced Strongly typed Genetic Programming for Algorithmic Trading. Evangelia Christodoulaki, Michael Kampouridis, Maria Kyropoulou |
| 2023 | Estimation-of-Distribution Algorithms for Multi-Valued Decision Variables. Firas Ben Jedidia, Benjamin Doerr, Martin S. Krejca |
| 2023 | Evolutionary Approach to Recommender Systems Improvement by Directory of Products Optimization. Piotr Lipinski |
| 2023 | Evolutionary Computation Evolving. Kenneth A. De Jong |
| 2023 | Evolutionary Diversity Optimisation in Constructing Satisfying Assignments. Adel Nikfarjam, Ralf Rothenberger, Frank Neumann, Tobias Friedrich |
| 2023 | Evolutionary Mixed-Integer Optimization with Explicit Constraints. Yuan Hong, Dirk Arnold |
| 2023 | Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous UAV Navigation in Large-Scale Complex Environments. Guangyan An, Ziyu Wu, Zhilong Shen, Ke Shang, Hisao Ishibuchi |
| 2023 | Evolving Flying Machines in Minecraft Using Quality Diversity. Alejandro Medina, Melanie Richey, Mark Mueller, Jacob Schrum |
| 2023 | Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems. Diksha Goel, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo |
| 2023 | Exploring High-dimensional Rules Indirectly via Latent Space Through a Dimensionality Reduction for XCS. Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama |
| 2023 | Factored Particle Swarm Optimization for Policy Co-training in Reinforcement Learning. Kordel K. France, John W. Sheppard |
| 2023 | Fast Evolutionary Neural Architecture Search by Contrastive Predictor with Linear Regions. Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang |
| 2023 | Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning. Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang |
| 2023 | Finding Near-Optimal Weight Independent Sets at Scale. Ernestine Großmann, Sebastian Lamm, Christian Schulz, Darren Strash |
| 2023 | First Improvement Hill Climber with Linkage Learning - on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning Genetic Algorithms. Michal Witold Przewozniczek, Renato Tinós, Marcin Michal Komarnicki |
| 2023 | Fixed Parameter Multi-Objective Evolutionary Algorithms for the W-Separator Problem. Samuel Baguley, Tobias Friedrich, Aneta Neumann, Frank Neumann, Marcus Pappik, Ziena Zeif |
| 2023 | Fourier Analysis Meets Runtime Analysis: Precise Runtimes on Plateaus. Benjamin Doerr, Andrew James Kelley |
| 2023 | Fourier Transform-based Surrogates for Permutation Problems. Francisco Chicano, Bilel Derbel, Sébastien Vérel |
| 2023 | Fully Autonomous Programming with Large Language Models. Vadim Liventsev, Anastasiia Grishina, Aki Härmä, Leon Moonen |
| 2023 | Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems. Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama |
| 2023 | Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space. Alejandro Marrero, Eduardo Segredo, Emma Hart, Jakob Bossek, Aneta Neumann |
| 2023 | Genetic Algorithm with Linkage Learning. Renato Tinós, Michal Przewozniczek, Darrell Whitley, Francisco Chicano |
| 2023 | Genetic programming for the vehicle routing problem with zone-based pricing. Francisco Javier Gil Gala, Sezin Afsar, Marko Durasevic, Juan José Palacios, Murat Afsar |
| 2023 | Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully |
| 2023 | Grammar-guided Linear Genetic Programming for Dynamic Job Shop Scheduling. Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang |
| 2023 | Guiding the Exploration of the Solution Space in Walking Robots Through Growth-Based Morphological Development. Martín Naya-Varela, Andrés Faiña, Richard J. Duro |
| 2023 | HOTGP - Higher-Order Typed Genetic Programming. Matheus Campos Fernandes, Fabrício Olivetti de França, Emilio Francesquini |
| 2023 | How Fitness Aggregation Methods Affect the Performance of Competitive CoEAs on Bilinear Problems. Mario Alejandro Hevia Fajardo, Per Kristian Lehre |
| 2023 | How Well Does the Metropolis Algorithm Cope With Local Optima? Benjamin Doerr, Taha El Ghazi El Houssaini, Amirhossein Rajabi, Carsten Witt |
| 2023 | How the Morphology Encoding Influences the Learning Ability in Body-Brain Co-Optimization. Federico Pigozzi, Federico Julian Camerota Verdù, Eric Medvet |
| 2023 | How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs. Benjamin Doerr, Arthur Dremaux, Johannes F. Lutzeyer, Aurélien Stumpf |
| 2023 | Hybridizing TPOT with Bayesian Optimization. Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer |
| 2023 | Improving Neighborhood Exploration Mechanism to Speed up PLS. Yuhao Kang, Jialong Shi, Jianyong Sun, Ye Fan |
| 2023 | Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration. Hannah Janmohamed, Thomas Pierrot, Antoine Cully |
| 2023 | Interactive Latent Diffusion Model. Mathurin Videau, Nickolai Knizev, Alessandro Ferreira Leite, Marc Schoenauer, Olivier Teytaud |
| 2023 | Larger Offspring Populations Help the (1 + (λ, λlambda)) Genetic Algorithm to Overcome the Noise. Alexandra Ivanova, Denis Antipov, Benjamin Doerr |
| 2023 | Learning Emergency Medical Dispatch Policies Via Genetic Programming. Jordan MacLachlan, Yi Mei, Fangfang Zhang, Mengjie Zhang, Jessica Signal |
| 2023 | Learning Synergies for Multi-Objective Optimization in Asymmetric Multiagent Systems. Gaurav Dixit, Kagan Tumer |
| 2023 | Learning by Viewing: Generating Test Inputs for Games by Integrating Human Gameplay Traces in Neuroevolution. Patric Feldmeier, Gordon Fraser |
| 2023 | Learning to Act through Evolution of Neural Diversity in Random Neural Networks. Joachim Winther Pedersen, Sebastian Risi |
| 2023 | Learning to Select Initialisation Heuristic for Vehicle Routing Problems. João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang |
| 2023 | Learning-Based Neural Ant Colony Optimization. Yi Liu, Jiang Qiu, Emma Hart, Yilan Yu, Zhongxue Gan, Wei Li |
| 2023 | Leveraging Fitness Critics To Learn Robust Teamwork. Joshua Cook, Kagan Tumer, Tristan Scheiner |
| 2023 | Leveraging Human Feedback to Evolve and Discover Novel Emergent Behaviors in Robot Swarms. Connor Mattson, Daniel S. Brown |
| 2023 | Leveraging problem-independent hyper-heuristics for real-world test laboratory scheduling. Florian Mischek, Nysret Musliu |
| 2023 | Local Optima Correlation Assisted Adaptive Operator Selection. Jiyuan Pei, Hao Tong, Jialin Liu, Yi Mei, Xin Yao |
| 2023 | Local Optima Markov Chain: A New Tool for Landscape-aware Analysis of Algorithm Dynamics. Francisco Chicano, Gabriela Ochoa, Bilel Derbel, Lorenzo Canonne |
| 2023 | MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy. Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully |
| 2023 | MOAZ: A Multi-Objective AutoML-Zero Framework. Ritam Guha, Wei Ao, Stephen Kelly, Vishnu Boddeti, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb |
| 2023 | MOEAs Are Stuck in a Different Area at a Time. Miqing Li, Xiaofeng Han, Xiaochen Chu |
| 2023 | MOREA: a GPU-accelerated Evolutionary Algorithm for Multi-Objective Deformable Registration of 3D Medical Images. Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten |
| 2023 | MPENAS: Multi-fidelity Predictor-guided Evolutionary Neural Architecture Search with Zero-cost Proxies. Jinglue Xu, Suryanarayanan N. A. V., Hitoshi Iba |
| 2023 | Many-objective (Combinatorial) Optimization is Easy. Arnaud Liefooghe, Manuel López-Ibáñez |
| 2023 | Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression? Joe Harrison, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman |
| 2023 | Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots. Alican Mertan, Nick Cheney |
| 2023 | Modular Differential Evolution. Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck |
| 2023 | Morphology Choice Affects the Evolution of Affordance Detection in Robots. Federico Pigozzi, Stephanie J. Woodman, Eric Medvet, Rebecca Kramer-Bottiglio, Josh C. Bongard |
| 2023 | Multi-Objective Multi-Gene Genetic Programming for the Prediction of Leakage in Water Distribution Networks. Matthew Hayslep, Edward C. Keedwell, Raziyeh Farmani |
| 2023 | Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models. Lennart Schneider, Bernd Bischl, Janek Thomas |
| 2023 | Multi-Objective Seed Curve Optimization for Coverage Path Planning in Precision Farming. Lukas Bostelmann-Arp, Christoph Steup, Sanaz Mostaghim |
| 2023 | Multi-objective Robust Optimization and Decision-Making Using Evolutionary Algorithms. Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb |
| 2023 | Multiobjective Optimization with a Quadratic Surrogate-assisted CMA-ES. Mohamed Gharafi, Nikolaus Hansen, Dimo Brockhoff, Rodolphe Le Riche |
| 2023 | Natural Evolution Strategy for Mixed-Integer Black-Box Optimization. Koki Ikeda, Isao Ono |
| 2023 | New Knowledge about the Elementary Landscape Decomposition for Solving the Quadratic Assignment Problem. Xabier Benavides, Josu Ceberio, Leticia Hernando, José Antonio Lozano |
| 2023 | Novelty Seeking Multiagent Evolutionary Reinforcement Learning. Ayhan Alp Aydeniz, Robert Tyler Loftin, Kagan Tumer |
| 2023 | OmnImage: Evolving 1k Image Cliques for Few-Shot Learning. Lapo Frati, Neil Traft, Nick Cheney |
| 2023 | On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search. Bruno Gasperov, Marko Durasevic |
| 2023 | On a Population Sizing Model for Evolution Strategies Optimizing the Highly Multimodal Rastrigin Function. Lisa Schönenberger, Hans-Georg Beyer |
| 2023 | On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem. Jakob Bossek, Aneta Neumann, Frank Neumann |
| 2023 | On the Suitability of Representations for Quality Diversity Optimization of Shapes. Ludovico Scarton, Alexander Hagg |
| 2023 | On the Unbounded External Archive and Population Size in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point. Ryoji Tanabe |
| 2023 | On the Use of Second Order Neighbors to Escape from Local Optima. Manuel Torralbo, Leticia Hernando, Ernesto Contreras-Torres, José Antonio Lozano |
| 2023 | On the evolution of mechanisms for three-option collective decision-making in a swarm of simulated robots. Ahmed Almansoori, Muhanad Alkilabi, Elio Tuci |
| 2023 | Optimization of a Hydrodynamic Computational Reservoir through Evolution. Alessandro Pierro, Kristine Heiney, Shamit Shrivastava, Giulia Marcucci, Stefano Nichele |
| 2023 | Optimizing Dispatching Strategies for Semiconductor Manufacturing Facilities with Genetic Programming. Benjamin Kovács, Pierre Tassel, Martin Gebser |
| 2023 | Optimizing fairness tradeoffs in machine learning with multiobjective meta-models. William G. La Cava |
| 2023 | Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness. Arnaud Liefooghe, Gabriela Ochoa, Sébastien Vérel, Bilel Derbel |
| 2023 | Pareto Local Search is Competitive with Evolutionary Algorithms for Multi-Objective Neural Architecture Search. Quan Minh Phan, Ngoc Hoang Luong |
| 2023 | Particle Swarm Optimization with Ring Topology for Multi-modal Multi-objective Problems. Youwei Sun, Chaoli Sun |
| 2023 | Pid-Inspired Modifications in Response Threshold Models In Swarm Intelligent Systems. Maryam Kebari, Annie S. Wu, H. David Mathias |
| 2023 | Positive Definite Nonparametric Regression using an Evolutionary Algorithm with Application to Covariance Function Estimation. Myeongjong Kang |
| 2023 | Probabilistic Lexicase Selection. Li Ding, Edward R. Pantridge, Lee Spector |
| 2023 | Probabilistic model with evolutionary optimization for cognitive diagnosis. Chenyang Bu, Zhiyong Cao, Chenlong He, Yuhong Zhang |
| 2023 | Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2023, Lisbon, Portugal, July 15-19, 2023 Sara Silva, Luís Paquete |
| 2023 | Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms. Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei |
| 2023 | Q-Learning Ant Colony Optimization supported by Deep Learning for Target Set Selection. Jairo Enrique Ramírez Sánchez, Camilo Chacón Sartori, Christian Blum |
| 2023 | Quality-diversity in dissimilarity spaces. Steve Huntsman |
| 2023 | RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization. Yongfan Lu, Bingdong Li, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou |
| 2023 | Reducing Overparameterization of Symbolic Regression Models with Equality Saturation. Fabrício Olivetti de França, Gabriel Kronberger |
| 2023 | Region-based Evaluation Particle Swarm Optimization with Dual Solution Libraries for Real-time Traffic Signal Timing Optimization. Chi Zhang, Jian-Yu Li, Chun-Hua Chen, Yun Li, Zhi-Hui Zhan |
| 2023 | Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2023 | Rethinking Population-assisted Off-policy Reinforcement Learning. Bowen Zheng, Ran Cheng |
| 2023 | Runtime Analysis of Quality Diversity Algorithms. Jakob Bossek, Dirk Sudholt |
| 2023 | Runtime Analysis with Variable Cost. Per Kristian Lehre, Andrew M. Sutton |
| 2023 | STHV-Net: Hypervolume Approximation based on Set Transformer. Han Zhu, Ke Shang, Hisao Ishibuchi |
| 2023 | Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. Luyao Zhu, Fangfang Zhang, Xiaodong Zhu, Ke Chen, Mengjie Zhang |
| 2023 | Scheduling Multi-Resource Satellites using Genetic Algorithms and Permutation Based Representations. Darrell Whitley, Ozeas Quevedo de Carvalho, Mark Roberts, Vivint Shetty, Piyabutra Jampathom |
| 2023 | Search-Based Test Generation Targeting Non-Functional Quality Attributes of Android Apps. Teklit Gereziher, Selam Gebrekrstos, Gregory Gay |
| 2023 | Searching for Quality: Genetic Algorithms and Metamorphic Testing for Software Engineering ML. Leonhard Applis, Annibale Panichella, Ruben Marang |
| 2023 | Selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata. Caitlin Grasso, Josh C. Bongard |
| 2023 | Self-adaptation Can Help Evolutionary Algorithms Track Dynamic Optima. Per Kristian Lehre, Xiaoyu Qin |
| 2023 | Semi-Supervised Learning with Coevolutionary Generative Adversarial Networks. Jamal Toutouh, Subhash Nalluru, Erik Hemberg, Una-May O'Reilly |
| 2023 | Solving Novel Program Synthesis Problems with Genetic Programming using Parametric Polymorphism. Edward R. Pantridge, Thomas Helmuth |
| 2023 | Stable and Sample-Efficient Policy Search for Continuous Control via Hybridizing Phenotypic Evolutionary Algorithm with the Double Actors Regularized Critics. Thai Huy Nguyen, Ngoc Hoang Luong |
| 2023 | Super-Human and Super-AI Cognitive Augmentation of Human and Human-AI Teams Assisted by Brain Computer Interfaces. Riccardo Poli |
| 2023 | Swarms of Artificial Platelets for Emergent Hole Detection and Healing in Wireless Sensor Networks. Giada Simionato, Federico A. Galatolo, Mario G. C. A. Cimino |
| 2023 | Symbolic Regression Trees as Embedded Representations. Victor Caetano, Matheus Cândido Teixeira, Gisele Lobo Pappa |
| 2023 | The Barrier Tree Benchmark: Many Basins and Double Funnels. Tim Blackwell |
| 2023 | The Impact of Asynchrony on Parallel Model-Based EAs. Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman |
| 2023 | The Impact of Morphological Diversity in Robot Swarms. Geoff Nitschke, Sindiso Mkhatshwa |
| 2023 | The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert |
| 2023 | Tight Runtime Bounds for Static Unary Unbiased Evolutionary Algorithms on Linear Functions. Carola Doerr, Duri Andrea Janett, Johannes Lengler |
| 2023 | To Combine or not to Combine Graybox Crossover and Local Search? Lorenzo Canonne, Bilel Derbel, Francisco Chicano, Gabriela Ochoa |
| 2023 | To slide or not to slide? Moving along fitness levels and preserving the gene subsets diversity in modern evolutionary computation. Michal Witold Przewozniczek, Marcin Michal Komarnicki |
| 2023 | Tomographic Reconstruction with Search Space Expansion. Mohammad Majid al-Rifaie, Tim Blackwell |
| 2023 | Towards Evolutionary Control Laws for Viability Problems. Alberto Tonda, Isabelle Alvarez, Sophie Martin, Giovanni Squillero, Evelyne Lutton |
| 2023 | Trade-off Between Robustness and Worst-Case Performance in Min-Max Optimization. Hinata Edo, Yoshiki Miyauchi, Atsuo Maki, Youhei Akimoto |
| 2023 | Two-Phase Procedure for Efficiently Removing Dominated Solutions From Large Solution Sets. Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi |
| 2023 | Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning. Bryan Lim, Manon Flageat, Antoine Cully |
| 2023 | Universal Mechanical Polycomputation in Granular Matter. Atoosa Parsa, Sven Witthaus, Nidhi Pashine, Corey S. O'Hern, Rebecca Kramer-Bottiglio, Josh C. Bongard |
| 2023 | Using Affine Combinations of BBOB Problems for Performance Assessment. Diederick Vermetten, Furong Ye, Carola Doerr |
| 2023 | Using a Variational Autoencoder to Learn Valid Search Spaces of Safely Monitored Autonomous Robots for Last-Mile Delivery. Peter J. Bentley, Soo Ling Lim, Paolo Arcaini, Fuyuki Ishikawa |
| 2023 | Variation Encoded Large-Scale Swarm Optimizers for Path Planning of Unmanned Aerial Vehicle. Tan-Lin Xiao, Qiang Yang, Xu-Dong Gao, Yuan-Yuan Ma, Zhenyu Lu, Sang-Woon Jeon, Jun Zhang |
| 2023 | Vertical-Axis Wind Turbine Design Using Surrogate-assisted Optimization with Physical Experiments In-loop. Matthew Lette, Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray |
| 2023 | When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova |
| 2023 | pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis |