Meta Heuristics Optimization Algorithms in Engineering Business Economics and Finance is popular PDF and ePub book, written by Vasant, Pandian M. in 2012-09-30, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Meta Heuristics Optimization Algorithms in Engineering Business Economics and Finance can be Read Online from any device for your convenience.

Meta Heuristics Optimization Algorithms in Engineering Business Economics and Finance Book PDF Summary

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.

Detail Book of Meta Heuristics Optimization Algorithms in Engineering Business Economics and Finance PDF

Meta Heuristics Optimization Algorithms in Engineering  Business  Economics  and Finance
  • Author : Vasant, Pandian M.
  • Release : 30 September 2012
  • Publisher : IGI Global
  • ISBN : 9781466620872
  • Genre : Computers
  • Total Page : 735 pages
  • Language : English
  • PDF File Size : 18,6 Mb

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