eprintid: 6908
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/69/08
datestamp: 2023-11-09 16:18:42
lastmod: 2023-11-09 16:18:42
status_changed: 2023-11-09 16:07:58
type: article
metadata_visibility: show
creators_name: Ganesan, T.
creators_name: Vasant, P.
creators_name: Elamvazuthi, I.
creators_name: Shaari, K.Z.K.
title: Game-theoretic differential evolution for multiobjective optimization of green sand mould system
ispublished: pub
keywords: Economic and social effects; Evolutionary algorithms; Molds; Multiobjective optimization; Optimization, Differential Evolution; Green sand mould systems; Large-scale; Multi objective; Pareto frontiers, Game theory
note: cited By 5
abstract: Many large-scale engineering problems often take a multiobjective form. Thus, several solution options to the MO problem are usually ascertained by the engineer. Then the most desirable options with respect to the industrial circumstances and online operating conditions are selected. In this work, the trade-off solutions are obtained using the weighted-sum approach. In addition the standard metaheuristic, differential evolution is improved using concepts from evolutionary game theory. These techniques are then applied to solve the industrial green sand mould development problem. The solutions are then examined and discussed from various standpoints. © 2015, Springer-Verlag Berlin Heidelberg.
date: 2016
publisher: Springer Verlag
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928691070&doi=10.1007%2fs00500-015-1694-5&partnerID=40&md5=e9aedeca0d1152964b7a96da141bd19c
id_number: 10.1007/s00500-015-1694-5
full_text_status: none
publication: Soft Computing
volume: 20
number: 8
pagerange: 3189-3200
refereed: TRUE
issn: 14327643
citation:   Ganesan, T. and Vasant, P. and Elamvazuthi, I. and Shaari, K.Z.K.  (2016) Game-theoretic differential evolution for multiobjective optimization of green sand mould system.  Soft Computing, 20 (8).  pp. 3189-3200.  ISSN 14327643