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Multi-Objective Optimization Using Evolutionary Algorithms

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 adaptive manufacturing systems.Amos Ng has a PhD in Computer Sciences and Engineering from De Montfort University, United Kingdom. He received his MPhil and BEng in Manufacturing Engineering from City University of Hong Kong. He has been Associate Professor at the University of Skövde, where he was previously Senior Lecturer and Research Assistant, since 2009.  He is a Chartered Engineer in the United Kingdom and a member of the Institution of Engineering and Technology. His main research interest is in applying simulation-based optimisation to manufacturing systems design and analysis.Kalyanmoy Deb has a PhD in Engineering Mechanics from the University of Alabama, USA, which also awarded his MS. He received his BTech in Mechanical Engineering from the Indian Institute of Technology Kharagpur. Since 1999 he has been Professor at the Indian Institute of Technology Kanpur, India, where he was previously Associate Professor and Assistant Professor. His research interests are computational optimization, evolutionary computation, multi-criterion optimization and decision analysis, applied optimal design, design and control of intelligent systems, modeling and simulation.

Foreword
Preface
Prologue
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
Epilogue
References
Index