eprintid: 2395
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/23/95
datestamp: 2023-11-09 15:50:37
lastmod: 2023-11-09 15:50:37
status_changed: 2023-11-09 15:43:26
type: book
metadata_visibility: show
creators_name: Vasant, P.
title: Meta-heuristics optimization algorithms in engineering, business, economics, and finance
ispublished: pub
note: cited By 67
abstract: 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. © 2013 by IGI Global. All rights reserved.
date: 2012
publisher: IGI Global
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84900646342&doi=10.4018%2f978-1-4666-2086-5&partnerID=40&md5=508f6e45f669124f3bb410d495031277
id_number: 10.4018/978-1-4666-2086-5
full_text_status: none
publication: Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance
pagerange: 1-708
refereed: TRUE
isbn: 9781466620865
citation:   Vasant, P.  (2012) Meta-heuristics optimization algorithms in engineering, business, economics, and finance.     IGI Global, pp. 1-708.  ISBN 9781466620865