eprintid: 550
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/05/50
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: Tsoulos, I.G.
creators_name: Vasant, P.
title: Product mix selection using an evolutionary technique
ispublished: pub
note: cited By 18; Conference of 2nd Global Conference on Power Control and Optimization, PCO'2009 ; Conference Date: 1 June 2009 Through 3 June 2009
abstract: This paper proposes an evolutionary technique for the solution of a real - life industrial problem and particular for the product mix selection problem. The evolutionary technique is a combination of a genetic algorithm that preserves the feasibility of the trial solutions with penalties and some local optimization method. The goal of this paper has been achieved in finding the best near optimal solution for the profit fitness function respect to vagueness factor and level of satisfaction. The findings of the profit values will be very useful for the decision makers in the industrial engineering sector for the implementation purpose. It's possible to improve the solutions obtained in this study by employing other meta-heuristic methods such as simulated annealing, tabu Search, ant colony optimization, particle swarm optimization and artificial immune systems. © 2009 American Institute of Physics.
date: 2009
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77956040263&doi=10.1063%2f1.3223936&partnerID=40&md5=31405a949da719e51e44799829c39642
id_number: 10.1063/1.3223936
full_text_status: none
publication: AIP Conference Proceedings
volume: 1159
place_of_pub: Bali
pagerange: 240-247
refereed: TRUE
isbn: 9780735406964
issn: 0094243X
citation:   Tsoulos, I.G. and Vasant, P.  (2009) Product mix selection using an evolutionary technique.  In: UNSPECIFIED.