Investigating Multi-View Differential Evolution for solving constrained engineering design problems

摘要: Several constrained and unconstrained optimization problems have been adequately solved over the years thanks to advances in metaheuristics area. In last decades, different proposed employing new ideas, hybrid algorithms that improve original developed. One of most successfully employed is Differential Evolution. this paper it a Multi-View Evolution algorithm (MVDE) which several mutation strategies are applied current population generate views at each iteration. The then merged according winner-takes-all paradigm, resulting automatic exploration/exploitation balance. MVDE was tested solve set well-known engineering design obtained results were compared those from many state-of-the-art metaheuristics. Results show very competitive considered problems, largely outperforming algorithms.