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ORCID18th PPSN 2024: Hagenberg, Austria - Part II
- Michael Affenzeller
, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15149, Springer 2024, ISBN 978-3-031-70067-5
Benchmarking and Performance Measures
- Ali Ahrari, Ruhul A. Sarker, Carlos A. Coello Coello:
Aggregated Partial Hypervolumes - An Overall Indicator for Performance Evaluation of Multimodal Multiobjective Optimization Methods. 3-19 - Diederick Vermetten, Johannes Lengler, Dimitri Rusin, Thomas Bäck, Carola Doerr:
Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler. 20-35 - Niki van Stein, Sarah L. Thomson, Anna V. Kononova:
A Deep Dive Into Effects of Structural Bias on CMA-ES Performance Along Affine Trajectories. 36-50
Automated Algorithm Selection and Configuration
- Fuda van Diggelen, Matteo De Carlo, Nicolas Cambier, Eliseo Ferrante, Guszti Eiben:
Emergence of Specialised Collective Behaviors in Evolving Heterogeneous Swarms. 53-69 - Quentin Renau, Emma Hart:
Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection. 70-86 - Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck, Niki van Stein:
Landscape-Aware Automated Algorithm Configuration Using Multi-output Mixed Regression and Classification. 87-104 - Darian Reyes Fernández de Bulnes, Allan de Lima, Edgar Galván, Conor Ryan:
Feature Encapsulation by Stages in the Regression Domain Using Grammatical Evolution. 105-120 - Emma Hart, Quentin Renau, Kevin Sim, Mohamad Alissa:
Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances. 121-136 - Moritz Seiler, Urban Skvorc, Gjorgjina Cenikj, Carola Doerr, Heike Trautmann:
Learned Features vs. Classical ELA on Affine BBOB Functions. 137-153 - Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, Heike Trautmann:
Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization. 154-169 - Konrad Gmyrek, Pawel B. Myszkowski, Michal Antkiewicz, Lukasz P. Olech:
iMOPSE: a Comprehensive Open Source Library for Single- and Multi-objective Metaheuristic Optimization. 170-184 - Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang:
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. 185-202
Numerical Optimization
- Yuta Sekino, Kento Uchida, Shinichi Shirakawa:
Warm Starting of CMA-ES for Contextual Optimization Problems. 205-220 - Stephan Frank, Tobias Glasmachers:
A Potential Function for a Variable-Metric Evolution Strategy. 221-235 - Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa:
CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points. 236-251 - Ryoki Hamano, Shinichi Shirakawa, Masahiro Nomura:
Natural Gradient Interpretation of Rank-One Update in CMA-ES. 252-267 - Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck:
Avoiding Redundant Restarts in Multimodal Global Optimization. 268-283 - Tristan Marty, Nikolaus Hansen, Anne Auger, Yann Semet, Sébastien Héron:
LB+IC-CMA-ES: Two Simple Modifications of CMA-ES to Handle Mixed-Integer Problems. 284-299
Bayesian- and Surrogate-Assisted Optimization
- Jakub Kudela, Ladislav Dobrovsky:
Performance Comparison of Surrogate-Assisted Evolutionary Algorithms on Computational Fluid Dynamics Problems. 303-321 - Cedric J. Rodriguez, Peter A. N. Bosman, Tanja Alderliesten:
Balancing Between Time Budgets and Costs in Surrogate-Assisted Evolutionary Algorithms. 322-339 - Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles:
An Adaptive Approach to Bayesian Optimization with Setup Switching Costs. 340-355 - Quanlin Chen, Jing Huo, Yiyu Chen, Tianyu Ding, Yang Gao, Dong Li, Xu He:
Re-examining Supervised Dimension Reduction for High-Dimensional Bayesian Optimization. 356-373 - Yiming Yao, Fei Liu, Ji Cheng, Qingfu Zhang:
Evolve Cost-Aware Acquisition Functions Using Large Language Models. 374-390 - Kei Nishihara, Masaya Nakata:
A Surrogate-Assisted Partial Optimization for Expensive Constrained Optimization Problems. 391-407
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