Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance

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9781466620865: Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance

Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems.

Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists.

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About the Author :

Pandian Vasant was born in Malaysia (SCOPUS H Index = 13). Currently, he is a Managing Editor of Global Journal of Technology and Optimization as well as Organizing Committee Member of PCO Global conferences. He graduated in 1986 from University of Malaya in Malaysia, obtaining his BSc Degree with Honors (II Class Upper) in Mathematics. In 1988, he obtained a Diploma in English for Business from Cambridge Tutorial College, Cambridge, UK. In 2002, he obtained his MSc (By Research) in Engineering Mathematics from the School of Engineering & Information Technology of University of Malaysia Sabah and has a Doctoral Degree (PhD, 2008) from the University Putra Malaysia. He was a Tutor of Engineering Mathematics at University Science Malaysia with Engineering Campus. From 1996-2003, he was a lecturer in Advanced Calculus and Engineering Mathematics at Mara University of Technology. He was Senior Lecturer of Engineering Mathematics in American Degree Program at Nilai International College, Malaysia, from 2003-2004 before taking his present position at the University Technology Petronas. His main research interests are in the areas of Optimization Methods and Applications to Decision Making and Industrial Engineering, Hybrid Optimization, Computational Intelligence and Soft Computing. Dr. Vasant has published as co-author more than three hundred research papers in national journals and international journals, book chapters, conference papers, editorials, preface, abstracts, presentation and conference proceedings. He is an organizing committee member of PCO Global conferences. He is reviewer/referee for international journals, book chapters and conference proceedings since 1998 (Google Scholar: h-index = 12; i10-index =13).

Review :

The meta-heuristic hybrid optimization techniques discussed in this collection address the intrinsic difficulty of algorithms and the need to model uncertainty problems troubling modern industrial, business, and financial systems. Mexican and Iranian contributors describe algorithms for inventory and supply chain management problems, compare Lagrangian relaxations of a two stage facility location problem, and propose an ANN self-tuning frequency control design for an isolated microgrid. Other topics of the 20 papers include particle swarm for optimal power flow, the relationship between stock returns and earnings, robot motion control, generator maintenance scheduling, and weighted affinity measure clustering for online data mining. --Annotation ©2012 Book News Inc. Portland, OR

The book contains 20 outstanding chapters concentrating on research and development of new and improved hybrid meta-heuristic optimization algorithms. Apparently, the chapters therein represent the state-of-the-art and recent developments in metaheuristic applications. Therefore, the book forms a platform for knowledge sharing, established by different researchers, academicians, and decision analysts from various backgrounds. The content of the research work demonstrates unique potentials and strengths. [...] Highly recommended for researchers, scientists, consultants, industrialists, decision makers, managers, engineers, financiers, and economists. --Dr. Michael Mutingi, Namibia University of Science and Technology

I strongly recommend this book. It shows applicability and usability of meta-heuristics optimization algorithms and methods on everyday problems, along strong theoretical background. It consolidates theory and practice, where meta-heuristics optimization algorithms play a key role in solving real problems in the domains of Engineering, Business, Economics, and Finance. --Dr. Goran Klepac, Raiffeisenbank Austria Zagreb, Croatia

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Description du livre Idea Group,U.S., United States, 2012. Hardback. État : New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems. Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists. N° de réf. du libraire TNP9781466620865

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Description du livre Idea Group,U.S., United States, 2012. Hardback. État : New. Language: English . Brand New Book ***** Print on Demand *****.Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems. Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists. N° de réf. du libraire APC9781466620865

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Description du livre Idea Group,U.S., United States, 2012. Hardback. État : New. Language: English . Brand New Book ***** Print on Demand *****. Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems. Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists. N° de réf. du libraire APC9781466620865

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Description du livre IGI Global. Hardcover. État : New. Hardcover. 734 pages. Dimensions: 11.2in. x 8.8in. x 1.9in.Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems. Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Hardcover. N° de réf. du libraire 9781466620865

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