Hybrid genetic algorithm for multi-time period production/distribution planning
Hybrid genetic algorithm for multi-time period production/distribution planning
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DOI：
10.1016/j.cie.2004.12.012
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发表时间：
2005-06-01
影响因子：
7.9
通讯作者：
Syarif, A
中科院分区：
文献类型：
--
作者：
Gen, MS;Syarif, A
在本文中，我们处理的生产/分销问题，以确定一个有效的集成的生产，分销和库存系统，使产品生产和分销在正确的数量，正确的客户，并在正确的时间，以最大限度地减少系统的成本，同时满足所有的需求。这个问题可以被看作是一个优化模型，集成设施选址决策，分销成本和库存管理的多产品和多时间段。为了解决这个问题，我们提出了一种新的技术称为基于生成树的遗传算法（hst-GA）。为了提高其效率，所提出的方法是杂交与模糊逻辑控制器（FLC）的概念，用于自动调整遗传参数。该方法与传统的基于生成树的遗传算法方法进行了比较。这一比较表明，所提出的方法给出了更好的结果。(c)2004年由Elsevier Ltd.出版。
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. (c) 2004 Published by Elsevier Ltd.