Meta-model-assisted MGDA for multi-objective functional optimization
نویسندگان
چکیده
منابع مشابه
Comparison between MGDA and PAES for Multi-Objective Optimization
In multi-objective optimization, the knowledge of the Pareto set provides valuable information on the reachable optimal performance. A number of evolutionary strategies (PAES [4], NSGA-II [1], etc), have been proposed in the literature and proved to be successful to identify the Pareto set. However, these derivative-free algorithms are very demanding in terms of computational time. Today, in ma...
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In multi-objective optimization, the knowledge of the Pareto set provides valuable information on the reachable optimal performance. A number of evolutionary strategies (PAES [4], NSGA-II [3], etc), have been proposed in the literature and proved to be successful to identify the Pareto set. However, these derivativefree algorithms are very demanding in computational time. Today, in many areas o...
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ژورنال
عنوان ژورنال: Computers & Fluids
سال: 2014
ISSN: 0045-7930
DOI: 10.1016/j.compfluid.2014.06.018