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

Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance
Author(s)/Editor(s): Pandian M. Vasant (Petronas University of Technology, Malaysia)
Copyright: ©2013
DOI: 10.4018/978-1-4666-2086-5
ISBN13: 9781466620865
ISBN10: 1466620862
EISBN13: 9781466620872

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Description

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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Reviews and Testimonials

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.

– 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

Provides a complex and many-sided look at meta-heuristics techniques for different applications, which is very useful for understanding the progress in the described area. Highly Recommended.

– Professor Nikolai Voropai, Director of the Melentiev Energy Systems Institute, Irkutsk, Russia

Author's/Editor's Biography

Pandian Vasant (Ed.)

P. Vasant was born in Sungai Petani, Malaysia in 1961. Currently, he is a Senior Lecturer of Mathematics and Optimization at Fundamental & Applied Sciences Department at University Technology Petronas in Tronoh, Perak, Maylaysia. He has graduated in 1986 from University of Malaya (MY) in Kuala Lumpur, obtaining his BSc Degree with Honors (II Class Upper) in Mathematics, and in 1988 also obtained a Diploma in English for Business from Cambridge Tutorial College, Cambridge, England. In the year 2002 he has obtained his MSc (By Research) in Engineering Mathematics from the School of Engineering & Information Technology of University of Malaysia Sabah, Malaysia, and has a Doctoral Degree (Ph.D, 2004-2008) from University Putra Malaysia in Malaysia. After graduation, during 1987-88 he was Tutor in Operational Research at University Science Malaysia in Alor Setar, Malaysia and during 1989-95 he was Tutor of Engineering Mathematics at the same university but with Engineering Campus at Tronoh, Malaysia. Thereafter during 1996-2003 he became a lecturer in Advanced Calculus and Engineering Mathematics at Mara University of Technology in Kota Kinabalu, Malaysia. He became Senior Lecturer of Engineering Mathematics in American Degree Program at Nilai International College (Malaysia), during 2003-2004 before taking his present position at Universiti Teknologi Petronas in Malaysia. His main research interests are in the areas of Optimization Methods and Applications to Decision Making and Industrial Engineering, Fuzzy Optimization, Computational Intelligence, and Hybrid Soft Computing. Vasant has co-authored 200 research papers and articles in national journals, international journals, conference proceedings, conference paper presentation, and special issue guest editor, lead guest editor for book chapters’ project, conference abstract, edited book and book chapters. In the year 2009, Vasant was awarded top reviewer for the journal Applied Soft Computing (Elsevier). He has been Co-editor for AIP Conference Proceedings of PCO (Power Control and Optimization) conferences since 2008 and editorial board member of international journals in the area of Soft Computing, Optimization and Computer Applications. Currently he's a lead managing editor for GJTO (Global Journal Technology & Optimization), Editor-in-Chief of IJEOE (IGI Global) and organizing committee member (PCO Global) for PCO Global conferences.



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