eprintid: 2610
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/26/10
datestamp: 2023-11-09 15:50:51
lastmod: 2023-11-09 15:50:51
status_changed: 2023-11-09 15:43:53
type: conference_item
metadata_visibility: show
creators_name: Vasant, P.
title: Hybrid intelligent algorithms for industrial production planning
ispublished: pub
note: cited By 1; Conference of 6th Global Conference on Power Control and Optimization, PCO 2012 ; Conference Date: 6 August 2012 Through 8 August 2012
abstract: In this paper, the main significant contributions of a new non-linear membership function using fuzzy approach to capture and describe vagueness in the technological coefficients of constraints in the industrial production planning problems has been investigated thoroughly. This non-linear membership function is flexible and convenience to the decision makers in their decision making process. Secondly, a nonlinear objective function in the form of cubic function for fuzzy optimization problems is successfully solved by 15 hybrid and non-hybrid optimization techniques from the area of soft computing and classical approaches. An intelligent performance analysis table is tabulated to the convenience of decision makers and implementers to select the niche optimization techniques to apply in real word problem solving approach particularly related to industrial engineering problems. © 2012 American Institute of Physics.
date: 2012
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873835486&doi=10.1063%2f1.4769009&partnerID=40&md5=b5cdc26394e73fb77ed096cca85b6823
id_number: 10.1063/1.4769009
full_text_status: none
publication: AIP Conference Proceedings
volume: 1499
place_of_pub: Las Vegas, NV
pagerange: 325-331
refereed: TRUE
isbn: 9780735411135
issn: 0094243X
citation:   Vasant, P.  (2012) Hybrid intelligent algorithms for industrial production planning.  In: UNSPECIFIED.