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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Vydané v:	International journal of advanced manufacturing technology Ročník 52; číslo 5-8; s. 821 - 831
Hlavní autori:	Zhang, Haijun, Hu, Yefa
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer-Verlag 01.02.2011 Springer Nature B.V
Predmet:	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
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