@inproceedings{03105c1be5c44cd9a2850372184d1d4d,
title = "Angle-based preference models in multi-objective optimization",
abstract = "Solutions that provide a balance between different objective values in multi-objective optimization can be identified by assessing the curvature of the Pareto front. We analyze how methods based on angles have been utilized in the past for this task and propose a new angle-based measure—angle utility—that ranks points of the Pareto front irrespective of its shape or the number of objectives. An algorithm for finding angle utility optima is presented and a computational study shows that this algorithm is successful in identifying angle utility optima.",
keywords = "Angle utility, Evolutionary algorithm, Multi-objective optimization, Preference modeling, Scalarization",
author = "Marlon Braun and Pradyumn Shukla and Hartmut Schmeck",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 ; Conference date: 19-03-2017 Through 22-03-2017",
year = "2017",
month = feb,
day = "19",
doi = "10.1007/978-3-319-54157-0_7",
language = "English",
isbn = "9783319541563",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag Italia",
pages = "88--102",
editor = "Oliver Sch{\"u}tze and Gunter Rudolph and Kathrin Klamroth and Yaochu Jin and Heike Trautmann and Christian Grimme and Margaret Wiecek",
booktitle = "Evolutionary Multi-Criterion Optimization - 9th International Conference, EMO 2017, Proceedings",
address = "Italy",
}