基于反应性禁忌搜索的森林车辆路径优化

Moussa Bagayoko, T. Dao, B. ATEME-NGUEMA
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引用次数: 2

摘要

森林车辆路线是优化森林运输系统以实现总成本最小化的重要环节。为了完成这项工作,我们提出了一个数学模型,并使用反应性禁忌搜索元启发式方法。目标是通过尊重所有客户的时间窗口来最小化总成本,这在该领域有时很重要。最后,给出了用反应性禁忌搜索元启发式方法求解命名车辆路径问题的实验结果,并与其扩展的大洪水结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of forest vehicle routing using reactive tabu search metaheuristic
Forest vehicle routing is an important step in optimization of forest transportation system to minimize the total cost. To perform this work, we propose a mathematical model and use a reactive tabu search metaheuristic approach. The objective is to minimize the total cost by respecting the time window of all customers which is sometimes important in this field. Finally, the experimental results obtained with the reactive tabu search metaheuristic approach of the named vehicle routing problem is showed, and compared to its extended great deluge results.
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