eprintid: 3149
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/31/49
datestamp: 2023-11-09 15:51:24
lastmod: 2023-11-09 15:51:24
status_changed: 2023-11-09 15:45:06
type: article
metadata_visibility: show
creators_name: Vasant, P.
title: A novel hybrid genetic algorithms and pattern search techniques for industrial production planning
ispublished: pub
keywords: Decision making; Genetic algorithms; Global optimization; Planning; Problem solving; Production control; Soft computing, Computational intelligent techniques; Degree of satisfaction; Global optimization method; Hybrid genetic algorithms; Industrial production; Pattern search; Production Planning; Traditional approaches, Optimization
note: cited By 37
abstract: Soft computing has attracted many research scientists, decision makers and practicing researchers in recent years as powerful computational intelligent techniques, for solving unlimited number of complex real-world problems particularly related to research area of optimization. Under the uncertain and turbulence environment, classical and traditional approaches are unable to obtain a complete solution with satisfaction for the real-world problems on optimization. Therefore, new global optimization methods are required to handle these issues seriously. One such method is hybrid Genetic algorithms and Pattern search, a generic, flexible, robust, and versatile framework for solving complex problems of global optimization and search in real-world applications. © 2012 World Scientific Publishing Company.
date: 2012
publisher: World Scientific Publishing Co. Pte Ltd
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84869751748&doi=10.1142%2fS1793962312500201&partnerID=40&md5=a7aafa9517923b080ed43581e4f8778b
id_number: 10.1142/S1793962312500201
full_text_status: none
publication: International Journal of Modeling, Simulation, and Scientific Computing
volume: 3
number: 4
refereed: TRUE
issn: 17939623
citation:   Vasant, P.  (2012) A novel hybrid genetic algorithms and pattern search techniques for industrial production planning.  International Journal of Modeling, Simulation, and Scientific Computing, 3 (4).   ISSN 17939623