eprintid: 1185
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/11/85
datestamp: 2023-11-09 15:49:20
lastmod: 2023-11-09 15:49:20
status_changed: 2023-11-09 15:39:10
type: conference_item
metadata_visibility: show
creators_name: Vasant, P.
creators_name: Barsoum, N.
title: Hybrid general pattern search and simulated annealing for industrail production planning problems
ispublished: pub
note: cited By 0; Conference of 3rd Global Conference on Power Control and Optimization, PCO 2010 ; Conference Date: 2 February 2010 Through 4 February 2010
abstract: In this paper, the hybridization of GPS (General Pattern Search) method and SA (Simulated Annealing) incorporated in the optimization process in order to look for the global optimal solution for the fitness function and decision variables as well as minimum computational CPU time. The real strength of SA approach been tested in this case study problem of industrial production planning. This is due to the great advantage of SA for being easily escaping from trapped in local minima by accepting up-hill move through a probabilistic procedure in the final stages of optimization process. Vasant 1 in his Ph. D thesis has provided 16 different techniques of heuristic and meta-heuristic in solving industrial production problems with non-linear cubic objective functions, eight decision variables and 29 constraints. In this paper, fuzzy technological problems have been solved using hybrid techniques of general pattern search and simulated annealing. The simulated and computational results are compared to other various evolutionary techniques. © 2010 American Institute of Physics.
date: 2010
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955755141&doi=10.1063%2f1.3459760&partnerID=40&md5=2e30a8995c9ade7026c56f7329fc668c
id_number: 10.1063/1.3459760
full_text_status: none
publication: AIP Conference Proceedings
volume: 1239
place_of_pub: Gold Coast, QLD
pagerange: 271-277
refereed: TRUE
isbn: 9780735407855
issn: 0094243X
citation:   Vasant, P. and Barsoum, N.  (2010) Hybrid general pattern search and simulated annealing for industrail production planning problems.  In: UNSPECIFIED.