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Comparing multimodal optimization and illumination
Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '17
Illumination algorithms are a recent addition to the evolutionary computation toolbox that allows the generation of many diverse and high-performing solutions in a single run. Nevertheless, traditional multimodal optimization algorithms also search for diverse and high-performing solutions: could some multimodal optimization algorithms be be er at illumination than illumination algorithms? In this study, we compare two illumination algorithms (Novelty Search with Local Competition (NSLC),doi:10.1145/3067695.3075610 dblp:conf/gecco/VassiliadesCM17 fatcat:326tjdwilzghjdoonx4mji5upu