Extremal Optimization - Lu, Yong-Zai; Chen, Yu-Wang; Chen, Min-Rong; Chen, Peng; Zeng, Guo-Qiang
261,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in über 4 Wochen
payback
131 °P sammeln
  • Gebundenes Buch

The high demand in science and engineering communities requires more efficient and intelligent solutions to complex optimization problems dealing with a wide variety of real-world problems. This book introduces an effective method of optimization known as extremal optimization (EO). In research monograph and tutorial fashion, the book brings together the fundamentals, techniques, and algorithms of EO. It covers modified EO and multi-objective EO along with many numerical and benchmark examples based on original contributions and the authors' recent research results.

Andere Kunden interessierten sich auch für
Produktbeschreibung
The high demand in science and engineering communities requires more efficient and intelligent solutions to complex optimization problems dealing with a wide variety of real-world problems. This book introduces an effective method of optimization known as extremal optimization (EO). In research monograph and tutorial fashion, the book brings together the fundamentals, techniques, and algorithms of EO. It covers modified EO and multi-objective EO along with many numerical and benchmark examples based on original contributions and the authors' recent research results.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Autorenporträt
Professor Yong-Zai Lu (IEEE Fellow since 1998) earned his diploma degree from the Department of Chemical Engineering, Zhejiang University, China, in 1961, where he currently is an emeritus professor with the Institute of Cyber Systems and Control. He previously was a consulting professor at Shanghai Jiaotong University and a senior consultant at Supcon Co. China. During 1991 to 2003, he held senior consulting and technical positions at Bethlehem Steel Co., i2 Tech Inc. and Pavilion Tech Inc. in the US. He was a full professor and director of research at the Institute of Industrial Control, Zhejiang University, from 1984 to 1991. During 1980-1982, he was with Purdue University as a Visiting Scholar. He has supervised about 80 PhD and MS students. His research interests include system modeling, optimization, advanced control, intelligent control and computational intelligence, and their applications in production scale and real-world complex systems. He has authored and co-authored numerous SCI and EI papers and a number of books. He received National Science and Technology Progress Awards in China in 1989 and 1993, the ISA UOP Technology Award in 1989, and AISE Kelly Awards in the US in 1995 and 1996. He served as the President of IFAC from 1996 to 1999. Dr. Yu-Wang Chen is a lecturer in decision sciences at the University of Manchester, UK. Prior to his current appointment, he was a postdoctoral research associate at the Decision and Cognitive Sciences (DCS) research centre of Manchester Business School, the University of Manchester, and a postdoctoral research fellow at the Department of Computer Science, Hong Kong Baptist University. He earned his PhD degree from the Department of Automation, Shanghai Jiao Tong University in 2008. He has published over 30 journal and conference papers. His research interests include multiple criteria decision analysis under uncertainties, modeling and optimization of complex systems, and risk analysis in supply chains. Dr. Min-Rong Chen is an associate professor at the School of Computer, South China Normal University, China. She worked at the College of Information Engineering, Shenzhen University, China, from 2008 to 2015. She earned her PhD degree from the Department of Automation, Shanghai Jiao Tong University, China, in 2008. She has published over 20 journal and conference papers and has been PI for two Natural Science Foundation of China (NSFC) projects. Her research interests include evolutionary computation and information security. Dr. Peng Chen is a postdoctoral fellow at the Department of Control Science and Engineering, Zhejiang University, and research engineer at the Research Institute of Supcon Group. He earned his PhD degree from Shanghai Jiaotong University, China, in 2011. He has published over 10 journal and conference papers and been working on a number of production-scale research projects on industrial process modeling and control. His research interests include extremal dynamics and computaional intelligence, system modeling, and optimization control. Dr. Guo-Qiang Zeng is an associate professor at the Department of Electrical and Electronic Engineering, Wenzhou University, China. He earned his PhD degree in Control Science and Engineering from Zhejiang University, China, in 2011. He has published over 20 journal and conference papers. He received the Best Poster Paper Finalist and Best Student Paper Finalist from the 8th World Congress on Intelligent Control and Automation, 2010. He also received an NSFC funding on an extremal optimization oriented project. His research interests include computational intelligence, micro-grid, power electronics, complex networks, and discrete event systems.