Multi-objective genetic algorithm in green just-in-time logistics

Ashkan Memari, Abd Rahman Abdul Rahim, Robiah Ahmad

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

3 Citations (Scopus)

Abstract

This paper addresses a mixed-integer linear programming model by integrating just-in-time delivery along with green objectives in a logistics network. Multi-objective genetic algorithm optimization has been applied in order to minimize the number of delivery and lead-time as well as environmental impact of logistic network. This evolutionary based algorithm incorporates non-dominated sorting genetic algorithm, so as to allow heuristic for parallel optimization of the objective functions. Computational results demonstrate efficiency of the proposed model for minimizing the objective functions. Finally, the conclusion and some areas of further research are proposed.

Original languageEnglish
Title of host publicationIEEM 2014 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management
PublisherIEEE Computer Society
Pages1239-1243
Number of pages5
ISBN (Electronic)9781479964109
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014 - Selangor, Malaysia
Duration: 9 Dec 201412 Dec 2014

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2015-January
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014
CountryMalaysia
CitySelangor
Period9/12/1412/12/14

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