eprintid: 1472
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/14/72
datestamp: 2023-11-09 15:49:38
lastmod: 2023-11-09 15:49:38
status_changed: 2023-11-09 15:40:41
type: book
metadata_visibility: show
creators_name: Vasant, P.
title: Solving fuzzy optimization problems of uncertain technological coefficients with genetic algorithms and hybrid genetic algorithms pattern search approaches
ispublished: pub
note: cited By 25
abstract: In this chapter a solution is proposed to a certain nonlinear programming difficulties related to the presence of uncertain technological coefficients represented by vague numbers. Only vague numbers with modified s-curve membership functions are considered. The proposed methodology consists of novel genetic algorithms and a hybrid genetic algorithm pattern search (Vasant, 2008) for nonlinear programming for solving problems that arise in industrial production planning in uncertain environments. Real life application examples in production planning and their numerical solutions are analyzed in detail. The new method suggested has produced good results in finding globally near-optimal solutions for the objective function under consideration. © 2012, IGI Global.
date: 2011
publisher: IGI Global
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901526169&doi=10.4018%2f978-1-61350-138-2.ch012&partnerID=40&md5=8db1dea921e40cf20bad44c028343087
id_number: 10.4018/978-1-61350-138-2.ch012
full_text_status: none
publication: Innovation in Power, Control, and Optimization: Emerging Energy Technologies
pagerange: 344-368
refereed: TRUE
isbn: 9781613501382
citation:   Vasant, P.  (2011) Solving fuzzy optimization problems of uncertain technological coefficients with genetic algorithms and hybrid genetic algorithms pattern search approaches.     IGI Global, pp. 344-368.  ISBN 9781613501382