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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
ISBN:
9780791859599
No. of Pages:
686
Publisher:
ASME Press
Publication date:
2010
eBook Chapter
32 GA Method for the Multi-Objective Transportation Problem
By
Kazumi Abe
,
Kazumi Abe
Department of Environment and Information Systems Engineering
Maebashi Institute of Technology
Maebashi, Gunma
, Japan
; ksugi@po.kannet.ne.jp
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Kenichi Ida
,
Kenichi Ida
Department of Environment and Information Systems Engineering
Maebashi Institute of Technology
Maebashi, Gunma
, Japan
; ida@maebashi-it.ac.jp
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Mitsuo Gen
Mitsuo Gen
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Page Count:
8
-
Published:2010
Citation
Abe, K, Ida, K, & Gen, M. "GA Method for the Multi-Objective Transportation Problem." Intelligent Engineering Systems through Artificial Neural Networks, Volume 20. Ed. Dagli, CH. ASME Press, 2010.
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There is a transportation problem as one of typical problems of combinatorial optimization problems. We aim to obtain the semi-optimal solution which was extended to the actual transportation problem with low cost and short time using a genetic algorithm (GA). In this paper, we compared three methods. At first, transportation costs and time respectively solve single objective transportation problem for optimal solutions. Next, the transportation time changes to the transportation costs, that is, multi-objective transportation problem requested the solution as a single objective transportation problem. In the last, the Pareto solution method is used, and combined with the other two results.
Topics:
Transportation systems
Abstract
1. Introduction
2. Transportation Problems
3. The Proposed Method
4. Numerical Experiments
5. Conclusion
References
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