Towards Analyzing Multimodality of Multiobjective Landscapes
Zusammenfassung
This paper formally defines multimodality in multiobjective optimization (MO). We introduce a test-bed in which multimodal MO problems with known properties can be constructed as well as numerical characteristics of the resulting landscape. Gradient- and local search based strategies are compared on exemplary problems together with specific performance indicators in the multimodal MO setting. By this means the foundation for Exploratory Landscape Analysis in MO is provided.
Schlüsselwörter
Multiobjective optimization; Multimodality; Landscape analysis; Hypervolume gradient ascent; Set based optimization
Zitieren als
Kerschke, P., Wang, H., Preuss, M., Grimme, C., Deutz, A., Trautmann, H., & Emmerich, M. (2016). Towards Analyzing Multimodality of Multiobjective Landscapes. In Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN XIV), Edinburgh, Scotland, 962–972.Details
Publikationstyp
Forschungsartikel in Sammelband (Konferenz)
Begutachtet
Ja
Publikationsstatus
Veröffentlicht
Jahr
2016
Konferenz
14th International Conference on Parallel Problem Solving from Nature (PPSN XIV)
Konferenzort
Edinburgh, Scotland
Buchtitel
Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN XIV)
Erste Seite
962
Letzte Seite
972
Reihe
Lecture Notes in Computer Science
Verlag
Springer
Sprache
Englisch
DOI
Gesamter Text