Abstract is missing.
- Aggregated Partial Hypervolumes - An Overall Indicator for Performance Evaluation of Multimodal Multiobjective Optimization MethodsAli Ahrari, Ruhul A. Sarker, Carlos A. Coello Coello. 3-19 [doi]
- Empirical Analysis of the Dynamic Binary Value Problem with IOHprofilerDiederick Vermetten, Johannes Lengler, Dimitri Rusin, Thomas Bäck, Carola Doerr. 20-35 [doi]
- A Deep Dive Into Effects of Structural Bias on CMA-ES Performance Along Affine TrajectoriesNiki van Stein, Sarah L. Thomson, Anna V. Kononova. 36-50 [doi]
- Emergence of Specialised Collective Behaviors in Evolving Heterogeneous SwarmsFuda van Diggelen, Matteo De Carlo, Nicolas Cambier, Eliseo Ferrante, Guszti Eiben. 53-69 [doi]
- Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-SelectionQuentin Renau, Emma Hart. 70-86 [doi]
- Landscape-Aware Automated Algorithm Configuration Using Multi-output Mixed Regression and ClassificationFu Xing Long, Moritz Frenzel, Peter Krause 0001, Markus Gitterle, Thomas Bäck, Niki van Stein. 87-104 [doi]
- Feature Encapsulation by Stages in the Regression Domain Using Grammatical EvolutionDarian Reyes Fernández de Bulnes, Allan de Lima, Edgar Galván, Conor Ryan. 105-120 [doi]
- Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial InstancesEmma Hart, Quentin Renau, Kevin Sim, Mohamad Alissa. 121-136 [doi]
- Learned Features vs. Classical ELA on Affine BBOB FunctionsMoritz Seiler, Urban Skvorc, Gjorgjina Cenikj, Carola Doerr, Heike Trautmann. 137-153 [doi]
- Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box OptimizationKonstantin Dietrich, Raphael Patrick Prager, Carola Doerr, Heike Trautmann. 154-169 [doi]
- iMOPSE: a Comprehensive Open Source Library for Single- and Multi-objective Metaheuristic OptimizationKonrad Gmyrek, Pawel B. Myszkowski, Michal Antkiewicz, Lukasz P. Olech. 170-184 [doi]
- Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language ModelsRui Zhang, Fei Liu 0044, Xi Lin 0001, Zhenkun Wang, Zhichao Lu, Qingfu Zhang 0001. 185-202 [doi]
- Warm Starting of CMA-ES for Contextual Optimization ProblemsYuta Sekino, Kento Uchida, Shinichi Shirakawa. 205-220 [doi]
- A Potential Function for a Variable-Metric Evolution StrategyStephan Frank, Tobias Glasmachers. 221-235 [doi]
- CMA-ES for Discrete and Mixed-Variable Optimization on Sets of PointsKento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa. 236-251 [doi]
- Natural Gradient Interpretation of Rank-One Update in CMA-ESRyoki Hamano, Shinichi Shirakawa, Masahiro Nomura. 252-267 [doi]
- Avoiding Redundant Restarts in Multimodal Global OptimizationJacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck. 268-283 [doi]
- LB+IC-CMA-ES: Two Simple Modifications of CMA-ES to Handle Mixed-Integer ProblemsTristan Marty, Nikolaus Hansen, Anne Auger, Yann Semet, Sébastien Héron. 284-299 [doi]
- Performance Comparison of Surrogate-Assisted Evolutionary Algorithms on Computational Fluid Dynamics ProblemsJakub Kudela, Ladislav Dobrovsky. 303-321 [doi]
- Balancing Between Time Budgets and Costs in Surrogate-Assisted Evolutionary AlgorithmsCedric J. Rodriguez, Peter A. N. Bosman, Tanja Alderliesten. 322-339 [doi]
- An Adaptive Approach to Bayesian Optimization with Setup Switching CostsStefan Pricopie, Richard Allmendinger 0001, Manuel López-Ibáñez 0001, Clyde Fare, Matt Benatan, Joshua D. Knowles. 340-355 [doi]
- Re-examining Supervised Dimension Reduction for High-Dimensional Bayesian OptimizationQuanlin Chen, Jing Huo, Yiyu Chen, Tianyu Ding, Yang Gao 0001, Dong Li 0016, Xu He. 356-373 [doi]
- Evolve Cost-Aware Acquisition Functions Using Large Language ModelsYiming Yao, Fei Liu 0044, Ji Cheng, Qingfu Zhang 0001. 374-390 [doi]
- A Surrogate-Assisted Partial Optimization for Expensive Constrained Optimization ProblemsKei Nishihara 0001, Masaya Nakata. 391-407 [doi]