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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Veröffentlicht in:	IEEE Transactions on Evolutionary Computation Jg. 22; H. 2; S. 260 - 275
Hauptverfasser:	Zille, Heiner, Ishibuchi, Hisao, Mostaghim, Sanaz, Nojima, Yusuke
Format:	Journal Article
Sprache:	Englisch Japanisch
Veröffentlicht:	IEEE 01.04.2018 Institute of Electrical and Electronics Engineers (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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