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

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

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.
Original languageEnglish
Title of host publication Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence
EditorsEdith Elkind
PublisherInternational Joint Conferences on Artificial Intelligence
Pages6741-6749
Number of pages9
ISBN (Electronic)978-1-956792-03-4
Publication statusPublished - Aug 2023
Event32nd International Joint Conference on Artificial Intelligence - Sheraton Grand Macao, Macao, China
Duration: 19 Aug 202325 Aug 2023
https://ijcai-23.org/

Publication series

NameIJCAI International Joint Conference on Artificial Intelligence
Volume2023-August
ISSN (Print)1045-0823

Conference

Conference32nd International Joint Conference on Artificial Intelligence
Abbreviated titleIJCAI
Country/TerritoryChina
CityMacao
Period19/08/2325/08/23
Internet address

Bibliographical note

Funding Information:
This research was supported by funding from the TU Delft AI Initiative and the Flemish Government under the “Onder-zoeksprogramma Artificiële Intelligentie (AI) Vlaanderen” program. We would also like to thank Yasin Sari for providing data and code to generate visualizations in Figure 2.

Funding Information:
This research was supported by funding from the TU Delft AI Initiative and the Flemish Government under the “Onderzoeksprogramma Artificiële Intelligentie (AI) Vlaanderen” program. We would also like to thank Yasin Sari for providing data and code to generate visualizations in Figure 2.

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

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