Skip to Main Content
Skip Nav Destination
ASME Press Select Proceedings

Intelligent Engineering Systems through Artificial Neural Networks, Volume 20

Cihan H. Dagli
Cihan H. Dagli
Search for other works by this author on:
No. of Pages:
ASME Press
Publication date:

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.

1. Introduction
2. Transportation Problems
3. The Proposed Method
4. Numerical Experiments
5. Conclusion
This content is only available via PDF.
You do not currently have access to this chapter.
Close Modal

or Create an Account

Close Modal
Close Modal