Towards analyzing multimodality of multiobjective landscapes
Pascal Kerschke, Hao Wang, Mike Preuß, Christian Grimme, Andre H. Deutz, Heike Trautmann, Michael Emmerich · ACM SIGEVOlution · 2017
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.