A hybrid chaotic quantum evolutionary algorithm for resource combinatorial optimization in manufacturing grid system

Resource composition in manufacturing grid (MGrid) system is one of the recent critical issues of MGrid researches. Especially, resource combinatorial optimization (RCO) becomes more challenging when multiple optimal criteria are considered in MGrid system. Based on the quantum evolution theory, we...

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Veröffentlicht in:	International journal of advanced manufacturing technology Jg. 52; H. 5-8; S. 821 - 831
Hauptverfasser:	Zhang, Haijun, Hu, Yefa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer-Verlag 01.02.2011 Springer Nature B.V
Schlagworte:	CAE) and Design Combinatorial analysis Computer-Aided Engineering (CAD Engineering Evolutionary algorithms Genetic algorithms Industrial and Production Engineering Mechanical Engineering Media Management Optimization Original Article Chaotic search Resource encoding Quantum evolutionary algorithm Manufacturing grid Combinatorial optimization
ISSN:	0268-3768, 1433-3015
Online-Zugang:	Volltext
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