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

• DOI: 10.48550/arxiv.2311.11288
• Publication Date: 2023-01-01
• Authors: Zuzanna Osika; Jazmín Zatarain S...; Diederik M. Roijers; Frans A. Oliehoek; Pradeep K. Muruka...
• Keywords: Interactivity

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 analyzing trade-offs offered algorithms are scattered across fields. provide an overview of advances on this topic, including visualization, mining solution set, and uncertainty exploration as well emerging research directions, interactivity, explainability, ethics. synthesize these drawing from different fields build unified approach, independent application. Our goals reduce entry barrier researchers practitioners using novel directions.