relation: https://khub.utp.edu.my/scholars/119/
title: A multi-objective evolutionary approach for fuzzy optimization in production planning
creator: Jiménez, F.
creator: Sánchez, G.
creator: Vasant, P.
creator: Verdegay, J.L.
description: 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.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2006
type: Conference or Workshop Item
type: PeerReviewed
identifier:   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.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-34548125785&doi=10.1109%2fICSMC.2006.384595&partnerID=40&md5=ef869c3dd11f03eababb591c81716c55
relation: 10.1109/ICSMC.2006.384595
identifier: 10.1109/ICSMC.2006.384595