Publications• Sorted by Date • Classified by Publication Type • Classified by Research Category • What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective OptimizationZuzanna Osika, Jazmin Zatarain-Salazar, Diederik M. Roijers, Oliehoek Frans A., and Murukannaiah Pradeep K.. What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization. In Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI), August 2023. DownloadAbstractWe 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, ap- proaches 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 so- lution set, and uncertainty exploration as well as emerging research directions, including interactiv- ity, explainability, and ethics. We synthesize these methods drawing from different fields of research to build a unified approach, independent of the ap- plication. Our goals are to reduce the entry barrier for researchers and practitioners on using MOO al- gorithms and to provide novel research directions. BibTeX Entry@inproceedings{Osika23IJCAI, title = {What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization}, author = {Osika, Zuzanna and Zatarain-Salazar, Jazmin and Roijers, Diederik M. and Oliehoek Frans A. and Murukannaiah Pradeep K.}, booktitle = IJCAI23, keywords = {refereed}, month = aug, year = {2023}, keywords = {refereed}, 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, ap- proaches 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 so- lution set, and uncertainty exploration as well as emerging research directions, including interactiv- ity, explainability, and ethics. We synthesize these methods drawing from different fields of research to build a unified approach, independent of the ap- plication. Our goals are to reduce the entry barrier for researchers and practitioners on using MOO al- gorithms and to provide novel research directions.}, }
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