Towards Analyzing Multimodality of Multiobjective Landscapes
Kerschke Pascal, Wang Hao, Preuss Mike, Grimme Christian, Deutz André, Trautmann Heike, Emmerich Michael
Research article in edited proceedings (conference) | Peer reviewedAbstract
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.
Details about the publication
Book title: Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN XIV)
Page range: 962-972
Publisher: Springer
Title of series: Lecture Notes in Computer Science
Status: Published
Release year: 2016
Language in which the publication is written: English
Conference: 14th International Conference on Parallel Problem Solving from Nature (PPSN XIV), Edinburgh, Scotland
Link to the full text: http://link.springer.com/content/pdf/10.1007%2F978-3-319-45823-6_90.pdf
Keywords: Multiobjective optimization; Multimodality; Landscape analysis; Hypervolume gradient ascent; Set based optimization
Authors from the University of Münster
| Grimme, Christian | |
| Kerschke, Pascal | |
| Preuß, Mike | |
| Trautmann, Heike |
Distinctions received for the publication
| PPSN XIV Best Paper Award (2016) Awarded by: Edinburgh Napier University and Organizing Committee of PPSN XIV Award given to: Kerschke, Pascal; Wang, Hao; Preuss, Mike; Grimme, Christian; Deutz, André; Emmerich, Michael; Trautmann, Heike Announced at: 21/09/2016 | Date of awarding: 15/09/2016 Type of distinction: Best publication award |