An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts

The multiobjective evolutionary algorithm based on decomposition (MOEA/D) has been shown to be very efficient in solving multiobjective optimization problems (MOPs). In practice, the Pareto-optimal front (POF) of many MOPs has complex characteristics. For example, the POF may have a long tail and sh...

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Vydáno v:	IEEE transactions on cybernetics Ročník 46; číslo 2; s. 421 - 437
Hlavní autoři:	Jiang, Shouyong, Yang, Shengxiang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.02.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Decomposition Disengaging Evolutionary algorithms Evolutionary computation Mathematical models Mathematical programming Mopping Multiobjective evolutionary algorithm (MOEA) multiobjective evolutionary algorithm based on decomposition (MOEA/D) multiobjective optimization niching Optical fibers Optimization Reproduction Shape Sociology Statistics test problems Vectors multiobjective evolutionary algorithm based on decomposition (MOEA/D) multiobjective optimization test problems Multiobjective evolutionary algorithm (MOEA) niching
ISSN:	2168-2267, 2168-2275, 2168-2275
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