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

conference contribution
posted on 2024-05-21, 01:59 authored by Ashkan Memari, AR Abdul Rahim, R Ahmad
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.

History

Volume

2015-January

Start Page

1239

End Page

1243

Number of Pages

5

Start Date

2014-12-09

Finish Date

2014-12-12

eISSN

2157-362X

ISSN

2157-3611

ISBN-13

9781479964109

Location

Selangor Darul Ehsan, Malaysia

Publisher

IEEE

Place of Publication

Piscataway, NJ

Peer Reviewed

  • Yes

Open Access

  • No

Era Eligible

  • Yes

Name of Conference

2014 IEEE International Conference on Industrial Engineering and Engineering Management

Parent Title

IEEE International Conference on Industrial Engineering and Engineering Management

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