A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation

In this paper, we propose a new method for solving multiobjective optimization problems with a large number of decision variables. The proposed method called weighted optimization framework is intended to serve as a generic method that can be used with any population-based metaheuristic algorithm. A...

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Vydáno v:	IEEE Transactions on Evolutionary Computation Ročník 22; číslo 2; s. 260 - 275
Hlavní autoři:	Zille, Heiner, Ishibuchi, Hisao, Mostaghim, Sanaz, Nojima, Yusuke
Médium:	Journal Article
Jazyk:	angličtina japonština
Vydáno:	IEEE 01.04.2018 Institute of Electrical and Electronics Engineers (IEEE)
Témata:	Algorithm design and analysis Benchmark testing Computer science Diversity reception Electronic mail Large-scale optimization (LSO) many-variable optimization metaheuristic framework multiobjective optimization Optimization Search problems variable grouping weighting
ISSN:	1089-778X, 1941-0026
On-line přístup:	Získat plný text
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