A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing

[Display omitted] ► A novel hybrid multiobjective evolutionary optimization strategy is proposed. ► Evolutionary algorithms can be enhanced to track the moving of Pareto Front. ► The hybrid algorithms perform better than pure algorithms in dynamic environments. The supply trajectory of electric powe...

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Vydané v:	Applied soft computing Ročník 13; číslo 5; s. 2960 - 2969
Hlavní autori:	Kong, Weijian, Chai, Tianyou, Yang, Shengxiang, Ding, Jinliang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.05.2013
Predmet:	Case-based reasoning Dynamic multiobjective optimization Hybrid strategy Manufacture process of magnesia grain Multiobjective evolutionary algorithm Dynamic multiobjective optimization Manufacture process of magnesia grain Multiobjective evolutionary algorithm Hybrid strategy Case-based reasoning
ISSN:	1568-4946, 1872-9681
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