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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks Volume 18
Editor
ISBN-10:
0791802823
ISBN:
9780791802823
No. of Pages:
700
Publisher:
ASME Press
Publication date:
2008
eBook Chapter
50 Multiobjective Genetic Algorithm for Reverse Logistics Network Problem Using Priority-Based Encoding
By
Jeong-Eun Lee
Graduate School of Information, Production & System, Waseda University ; leeje@toki.waseda.jp
,
Jeong-Eun Lee
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Kyong-Gu Rhee
Department of Business Administration & Accounting Dongeui University ; rhee@deu.ac.kr
,
Kyong-Gu Rhee
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Mitsuo Gen
Graduate School of Information, Production & System, Waseda University ; gen@wasead.jp
Mitsuo Gen
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Page Count:
8
-
Published:2008
Citation
Lee, J, Rhee, K, & Gen, M. "Multiobjective Genetic Algorithm for Reverse Logistics Network Problem Using Priority-Based Encoding." Intelligent Engineering Systems through Artificial Neural Networks Volume 18. Ed. Dagli, CH. ASME Press, 2008.
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This paper consider a reverse logistics network problem (rLNP) with two objectives i.e. minimizing total cost of transportation as well as purchase and, simultaneously, minimizing cost of inventory that is must be reduced which is concerned with relationship between the demands of products and the quantity of provided products from processing center. For applying an evolutionary approach for this rLNP, priority-based encoding method and adaptive weight approach (AWA) are proposed. The effectiveness of proposed approach is evaluated through numerical experiments.
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