On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems

Oliver Ludger Preuß*, Jeroen Rook, Heike Trautmann

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

The complexity of Multi-Objective (MO) continuous optimisation problems arises from a combination of different characteristics, such as the level of multi-modality. Earlier studies revealed that there is a conflict between solver convergence in objective space and solution set diversity in the decision space, which is especially important in the multi-modal setting. We build on top of this observation and investigate this trade-off in a multi-objective manner by using multi-objective automated algorithm configuration (MO-AAC) on evolutionary multi-objective algorithms (EMOA). Our results show that MO-AAC is able to find configurations that outperform the default configuration as well as configurations found by single-objective AAC in regards to objective space convergence and diversity in decision space, leading to new recommendations for high-performing default settings.
Original languageEnglish
Title of host publicationApplications of Evolutionary Computation
Subtitle of host publication27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part I
EditorsStephen Smith, João Correia, Christian Cintrano
Pages305-321
Number of pages17
ISBN (Electronic)978-3-031-56852-7
DOIs
Publication statusPublished - 21 Mar 2024
Event27th International Conference on Applications of Evolutionary Computation, EvoApplications 2024 - Aberystwyth, United Kingdom
Duration: 3 Apr 20245 Apr 2024
Conference number: 27

Publication series

NameLecture Notes in Computer Science
PublisherSpringer, Cham.
Volume14634

Conference

Conference27th International Conference on Applications of Evolutionary Computation, EvoApplications 2024
Abbreviated titleplications of Evolutionary Computation,
Country/TerritoryUnited Kingdom
CityAberystwyth
Period3/04/245/04/24

Keywords

  • 2024 OA procedure

Fingerprint

Dive into the research topics of 'On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems'. Together they form a unique fingerprint.

Cite this