Hybrid genetic algorithm for multi-time period production/distribution planning

Hybrid genetic algorithm for multi-time period production/distribution planning

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Article ID: iaor20052488
Country: Netherlands
Volume: 48
Issue: 4
Start Page Number: 799
End Page Number: 809
Publication Date: Jun 2005
Journal: Computers & Industrial Engineering
Authors: ,
Keywords: heuristics
Abstract:

In this paper, we deal with a production/distribution problem to determine an efficient integration of production, distribution and inventory system so that products are produced and distributed at the right quantities, to the right customers, and at the right time, in order to minimize system wide costs while satisfying all demand required. This problem can be viewed as an optimization model that integrates facility location decisions, distribution costs, and inventory management for multi-products and multi-time periods. To solve the problem, we propose a new technique called spanning tree-based genetic algorithm (hst-GA). In order to improve its efficiency, the proposed method is hybridized with the fuzzy logic controller (FLC) concept for auto-tuning the GA parameters. The proposed method is compared with traditional spanning tree-based genetic algorithm approach. This comparison shows that the proposed method gives better results.

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