Martinez, Aritz D.Fister, IztokOsaba, EnekoFister, IztokOregi, IzaskunSer, Javier Del2024-07-242024-07-242019-07-13Martinez , A D , Fister , I , Osaba , E , Fister , I , Oregi , I & Ser , J D 2019 , Hybridizing differential evolution and novelty search for multimodal optimization problems . in GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion . GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion , Association for Computing Machinery, Inc , pp. 1980-1989 , 2019 Genetic and Evolutionary Computation Conference, GECCO 2019 , Prague , Czech Republic , 13/07/19 . https://doi.org/10.1145/3319619.3326799conference9781450367486https://hdl.handle.net/11556/2283Publisher Copyright: © 2019 Association for Computing Machinery.Multimodal optimization has shown to be a complex paradigm underneath real-world problems arising in many practical applications, with particular prevalence in physics-related domains. Among them, a plethora of cases within the computational design of aerospace structures can be modeled as a multimodal optimization problem, such as aerodynamic optimization or airfoils and wings. This work aims at presenting a new research direction towards efficiently tackling this kind of optimization problems, which pursues the discovery of the multiple (at least locally optimal) solutions of a given optimization problem. Specifically, we propose to exploit the concept behind the so-called Novelty Search mechanism and embed it into the self-adaptive Differential Evolution algorithm so as to gain an increased level of controlled diversity during the search process. We assess the performance of the proposed solver over the well-known CEC'2013 suite of multimodal test functions. The obtained outcomes of the designed experimentation supports our claim that Novelty Search is a promising approach for heuristically addressed multimodal problems.10enginfo:eu-repo/semantics/restrictedAccessconference output10.1145/3319619.3326799Differential EvolutionMultimodal OptimizationNovelty SearchArtificial IntelligenceTheoretical Computer ScienceSoftwarehttp://www.scopus.com/inward/record.url?scp=85070578002&partnerID=8YFLogxK