Multi-objective optimization using evolution strategies
نویسندگان
چکیده
منابع مشابه
Multi-Objective Optimization Using Evolution Strategies
The present paper gives an overview of different versions of Evolution Strategies, namely the (1+1) Evolution Strategy, the Higher Order (μ/ρ , λ ) Evolution Strategy and the Niching [κ(μ/ρ ,λ )] Evolution Strategy, and how these methods can be applied to problems in Electrical Engineering. Significant features of the algorithms implemented by the authors are presented. Finally, results are dis...
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For optimization of real-world arch dams, it is unavoidable to consider two or more conflicting objectives. This paper employs two multi-objective differential evolution algorithms (MoDE) in combination of a parallel working MATLAB-APDL code to obtain a set of Pareto solutions for optimal shape of arch dams. Full dam-reservoir interaction subjected to seismic loading is considered. A benchmark ...
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In most real world multi-objective optimization problems the objectives are conflicting and therefore, they do not lend themselves to a single solution but result in a set of non-dominating solutions. Several issues arise in Multi-objective Optimization. Firstly, the entire search space has to be searched (in order to find all the good nondominated solutions) without getting stuck in local opti...
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Most real-world optimization problems include multiple objective functions and several constraints. The Differential Evolution algorithm was initially developed for unconstrained single-objective problems and was shown to be a fast, simple algorithm. In order to utilize these advantages in real-world problems it was adapted for multi-objective optimization recently. In this work a multi-objecti...
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ژورنال
عنوان ژورنال: Facta universitatis - series: Electronics and Energetics
سال: 2009
ISSN: 0353-3670,2217-5997
DOI: 10.2298/fuee0902159j