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


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
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

Publicatie series

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


Conference32nd International Joint Conference on Artificial Intelligence
Verkorte titelIJCAI
Internet adres

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

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