Crowded comparison operators for constraints handling in NSGA-II for optimal design of the compensation system in electrical distribution networks
作者： S. Favuzza , M.G. Ippolito , E. Riva Sanseverino
DOI: 10.1016/J.AEI.2005.10.001
关键词:
摘要: This paper proposes an improvement of efficient multiobjective optimization algorithm, Non-dominated Sorting Genetic Algorithm II, NSGA-II, that has been here applied to solve the problem optimal capacitors placement in distribution systems. The studied involves Crowded Comparison Operator and modifies it order handle several constraints. location sizing capacitor banks for losses reduction voltage profile flattening medium (MV) automated systems is a difficult combinatorial constrained which deeply literature. In this paper, efficiency proposed Operator, CCO1, compared another CCO2, whose definition derives from constraint-domination principle by Deb et al. two operators are tested on test problems as well problem.
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