eprintid: 543
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/05/43
datestamp: 2023-11-09 15:48:41
lastmod: 2023-11-09 15:48:41
status_changed: 2023-11-09 15:22:42
type: conference_item
metadata_visibility: show
creators_name: Vasant, P.
creators_name: Barsoum, N.
title: Hybrid Simulated Annealing and Genetic Algorithms for industrial production management problems
ispublished: pub
note: cited By 11; Conference of 2nd Global Conference on Power Control and Optimization, PCO'2009 ; Conference Date: 1 June 2009 Through 3 June 2009
abstract: This paper describes the origin and significant contribution on the development of the Hybrid Simulated Annealing and Genetic Algorithms (HSAGA) approach for finding global optimization. HSAGA provide an insight approach to handle in solving complex optimization problems. The method is, the combination of meta-heuristic approaches of Simulated Annealing and novel Genetic Algorithms for solving a non-linear objective function with uncertain technical coefficients in an industrial production management problems. The proposed novel hybrid method is designed to search for global optimal for the non-linear objective function and search for the best feasible solutions of the decision variables. Simulated experiments were carried out rigorously to reflect the advantages of the proposed method. A description of the well developed method and the advanced computational experiment with MATLAB technical tool is presented. An industrial production management optimization problem is solved using HSAGA technique. The results are very much promising. © 2009 American Institute of Physics.
date: 2009
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952955759&doi=10.1063%2f1.3223938&partnerID=40&md5=2ae1064636e75321d9350754daee0655
id_number: 10.1063/1.3223938
full_text_status: none
publication: AIP Conference Proceedings
volume: 1159
place_of_pub: Bali
pagerange: 254-261
refereed: TRUE
isbn: 9780735406964
issn: 0094243X
citation:   Vasant, P. and Barsoum, N.  (2009) Hybrid Simulated Annealing and Genetic Algorithms for industrial production management problems.  In: UNSPECIFIED.