eprintid: 1968
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/19/68
datestamp: 2023-11-09 15:50:08
lastmod: 2023-11-09 15:50:08
status_changed: 2023-11-09 15:41:43
type: conference_item
metadata_visibility: show
creators_name: Vasant, P.
title: Solving fuzzy optimization problem using hybrid LS-SA-PS method
ispublished: pub
note: cited By 0; Conference of 4th Global Conference on Power Control and Optimization ; Conference Date: 2 December 2010 Through 4 December 2010
abstract: Fuzzy optimization problem has been one of the most and prominent topics inside the broad area of computational intelligent. It's especially relevant in the filed of fuzzy non-linear programming. It's application as well as practical realization can been seen in all the real world problems. In this paper a large scale non-linear fuzzy programming problem has been solved by hybrid optimization techniques of Line Search (LS), Simulated Annealing (SA) and Pattern Search (PS). As industrial production planning problem with cubic objective function, 8 decision variables and 29 constraints has been solved successfully using LS-SA-PS hybrid optimization techniques. The computational results for the objective function respect to vagueness factor and level of satisfaction has been provided in the form of 2D and 3D plots. The outcome is very promising and strongly suggests that the hybrid LS-SA-PS algorithm is very efficient and productive in solving the large scale non-linear fuzzy programming problem. © 2011 American Institute of Physics.
date: 2011
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-80051553745&doi=10.1063%2f1.3592473&partnerID=40&md5=b2ced367fca91b341db70de1c8781e95
id_number: 10.1063/1.3592473
full_text_status: none
publication: AIP Conference Proceedings
volume: 1337
place_of_pub: Sarawak
pagerange: 245-251
refereed: TRUE
isbn: 9780735408937
issn: 0094243X
citation:   Vasant, P.  (2011) Solving fuzzy optimization problem using hybrid LS-SA-PS method.  In: UNSPECIFIED.