What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization

Zuzanna Osika, Jazmin Zatarain Salazar, Diederik M. Roijers, Frans A. Oliehoek, Pradeep Murukannaiah

Onderzoeksoutput: Conference paperResearch

Samenvatting

We present a review that unifies decision-support methods for exploring the solutions produced by multi-objective optimization (MOO) algorithms. As MOO is applied to solve diverse problems, approaches for analyzing the trade-offs offered by MOO algorithms are scattered across fields. We provide an overview of the advances on this topic, including methods for visualization, mining the solution set, and uncertainty exploration as well as emerging research directions, including interactivity, explainability, and ethics. We synthesize these methods drawing from different fields of research to build a unified approach, independent of the application. Our goals are to reduce the entry barrier for researchers and practitioners on using MOO algorithms and to provide novel research directions.
Originele taal-2English
Titel Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence
RedacteurenEdith Elkind
UitgeverijInternational Joint Conferences on Artificial Intelligence
Pagina's6741-6749
Aantal pagina's9
ISBN van elektronische versie978-1-956792-03-4
StatusPublished - aug 2023
Evenement32nd International Joint Conference on Artificial Intelligence - Sheraton Grand Macao, Macao, China
Duur: 19 aug 202325 aug 2023
https://ijcai-23.org/

Publicatie series

NaamIJCAI International Joint Conference on Artificial Intelligence
Volume2023-August
ISSN van geprinte versie1045-0823

Conference

Conference32nd International Joint Conference on Artificial Intelligence
Verkorte titelIJCAI
Land/RegioChina
StadMacao
Periode19/08/2325/08/23
Internet adres

Bibliografische nota

Publisher Copyright:
© 2023 International Joint Conferences on Artificial Intelligence. All rights reserved.

Citeer dit