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A Combining Heuristic Algorithm for the Multi-depot Vehicle Routing Problem with Inter-depot Routes

机译:驻车间路由的多仓库车辆路由问题结合启发式算法

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The multi-depot vehicle routing problem with inter-depot routes (MDVRPI) is an extension to the classical Vehicle Routing Problem (VRP); it is the major research topics in the supply chain management field. It is an extension of the multi-depot vehicle routing problem in which vehicles may be replenished at intermediate depots along their route. In this paper, we propose a heuristic combining the adaptative memory principle, a tabu search method for the solution of subproblems, and integer programming. Tests are conducted on randomly generated instances. The experiment indicates the validity of the technique to MDVRPI with the above-mentioned conditions.
机译:与仓库间路由(MDVRPI)的多仓库车辆路由问题是经典车辆路由问题(VRP)的扩展;这是供应链管理领域的主要研究主题。它是多仓车辆路由问题的延伸,其中车辆可以在沿着它们的路线在中间仓库中补充。在本文中,我们提出了一种启发式组合适应性记忆原理,禁忌搜索方法,用于解决子问题的解决方案和整数编程。测试是在随机生成的实例上进行的。该实验表明,通过上述条件,该技术对MDVRPI的有效性。

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