eprintid: 119
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/01/19
datestamp: 2023-11-09 15:15:45
lastmod: 2023-11-09 15:15:45
status_changed: 2023-11-09 15:12:50
type: conference_item
metadata_visibility: show
creators_name: Jiménez, F.
creators_name: Sánchez, G.
creators_name: Vasant, P.
creators_name: Verdegay, J.L.
title: A multi-objective evolutionary approach for fuzzy optimization in production planning
ispublished: pub
keywords: Decision making; Evolutionary algorithms; Fuzzy sets; Sensitivity analysis, Multiple non dominated solutions; Product mix decision; Production planning, Multi agent systems
note: cited By 18; Conference of 2006 IEEE International Conference on Systems, Man and Cybernetics ; Conference Date: 8 October 2006 Through 11 October 2006; Conference Code:70120
abstract: This paper outlines, first, a real-world industrial problem for product-mix selection involving 8 variables and 21 constraints with fuzzy coefficients and thereafter, a multi-objective optimization approach to solve the problem. This problem occurs in production planning in which a decision-maker plays a pivotal role in making decision under fuzzy environment. Decision-maker should be aware of his/her level-of-satisfaction as well as degree of fuzziness while making the product-mix decision. Thus, the authors have analyzed using a modified S-curve membership function the fuzziness patterns and fuzzy sensitivity of the solution found from the multi-objective optimization methodology. An ad hoc Pareto-based multi-objective evolutionary algorithm is proposed to capture multiple non dominated solutions in a single run of the algorithm. Results obtained have been compared with the well-known multi-objective evolutionary algorithm NSGA-II. © 2006 IEEE.
date: 2006
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-34548125785&doi=10.1109%2fICSMC.2006.384595&partnerID=40&md5=ef869c3dd11f03eababb591c81716c55
id_number: 10.1109/ICSMC.2006.384595
full_text_status: none
publication: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
volume: 4
place_of_pub: Taipei
pagerange: 3120-3125
refereed: TRUE
isbn: 1424401003; 9781424401000
issn: 1062922X
citation:   Jiménez, F. and Sánchez, G. and Vasant, P. and Verdegay, J.L.  (2006) A multi-objective evolutionary approach for fuzzy optimization in production planning.  In: UNSPECIFIED.