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

Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance
Author: Vasant, Pandian M.
Publisher: IGI Global
Total Pages: 735
Release: 2012-09-30
Genre: Computers
ISBN: 1466620870

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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.


Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance
Language: en
Pages: 735
Authors: Vasant, Pandian M.
Categories: Computers
Type: BOOK - Published: 2012-09-30 - Publisher: IGI Global

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Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engine
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Modern optimization approaches have attracted many research scientists, decision makers and practicing researchers in recent years as powerful intelligent compu
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"This book explores emerging technologies and best practices designed to effectively address concerns inherent in properly optimizing advanced systems, demonstr