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.In the year 2002, he obtained his MSc (By Research) in Engineering Mathematics from the School of Engineering aamp; Information Technology of University of Malaysia Sabah, Malaysia, and has a Doctoral Degree (2008) from University Putraanbsp;...
|Title||:||Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance|
|Author||:||Vasant, Pandian M.|
|Publisher||:||IGI Global - 2012-09-30|