A self-adaptive multi-objective dynamic differential evolution algorithm and its application in chemical engineering

This paper proposes a new multi-objective dynamic differential evolution algorithm with parameter self-adaptive strategies, named SA-MODDE. All components of the algorithm are synergically designed to reach its full potential, containing parental selection, mutation strategy, parameter setting, surv...

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Veröffentlicht in:	Applied soft computing Jg. 106; S. 107317
Hauptverfasser:	Zhang, Xiaodong, Jin, Lu, Cui, Chengtian, Sun, Jinsheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.07.2021
Schlagworte:	Chemical and biochemical processes Dynamic differential evolution Multi-objective optimization Optimal control problem Parameter adaptation Multi-objective optimization Dynamic differential evolution Chemical and biochemical processes Parameter adaptation Optimal control problem
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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