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Multi-Objective Optimization Using Evolutionary Algorithms

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ISBN-10: 0470743611

ISBN-13: 9780470743614

Edition: 2009

Authors: Kalyanmoy Deb

List price: $55.50
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Book details

List price: $55.50
Copyright year: 2009
Publisher: John Wiley & Sons, Limited
Publication date: 10/28/2008
Binding: Paperback
Pages: 544
Size: 6.50" wide x 9.25" long x 1.25" tall
Weight: 1.936
Language: English

Lihui Wang is a professor of virtual manufacturing at the University of Skövde�s Virtual Systems Research Centre in Sweden. He was previously a senior research scientist at the Integrated Manufacturing Technologies Institute, National Research Council of Canada. He is also an adjunct professor in the Department of Mechanical and Materials Engineering at the University of Western Ontario, and a registered professional engineer in Canada. His research interests and responsibilities are in web-based and sensor-driven real-time monitoring and control, distributed machining process planning, adaptive assembly planning, collaborative design, supply chain management, as well as intelligent and…    

Multi-Objective Optimization
Classical Methods
Evolutionary Algorithms
Non-Elitist Multi-Objective Evolutionary Algorithms
Elitist Multi-Objective Evolutionary Algorithms
Constrained Multi-Objective Evolutionary Algorithms
Salient Issues of Multi-Objective Evolutionary Algorithms
Applications of Multi-Objective Evolutionary Algorithms