eprintid: 503
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/05/03
datestamp: 2023-11-09 15:16:08
lastmod: 2023-11-09 15:16:08
status_changed: 2023-11-09 15:14:42
type: conference_item
metadata_visibility: show
creators_name: Vasant, P.
creators_name: Barsoum, N.
title: Hybrid genetic agorithms and line search method for industrial production planning with non-linear fitness function
ispublished: pub
note: cited By 4; Conference of International Conference on Power Control and Optimization, PCO 2008 ; Conference Date: 18 July 2008 Through 20 August 2008
abstract: Many engineering, science, information technology and management optimization problems can be considered as non linear programming real world problems where the all or some of the parameters and variables involved are uncertain in nature. These can only be quantified using intelligent computational techniques such as evolutionary computation and fuzzy logic. The main objective of this research paper is to solve non linear fuzzy optimization problem where the technological coefficient in the constraints involved are fuzzy numbers which was represented by logistic membership functions by using hybrid evolutionary optimization approach. To explore the applicability of the present study a numerical example is considered to determine the production planning for the decision variables and profit of the company. © American Institute of Physics.
date: 2008
publisher: American Institute of Physics Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-55549106829&doi=10.1063%2f1.3008681&partnerID=40&md5=e6854b6bde181f546665f612a1a315f7
id_number: 10.1063/1.3008681
full_text_status: none
publication: AIP Conference Proceedings
volume: 1052
place_of_pub: Chiang Mai
pagerange: 278-283
refereed: TRUE
isbn: 9780735405813
issn: 0094243X
citation:   Vasant, P. and Barsoum, N.  (2008) Hybrid genetic agorithms and line search method for industrial production planning with non-linear fitness function.  In: UNSPECIFIED.