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A Clustering-based Multiple Ant Colony System for the Waste Collection Vehicle Routing Problems

机译:用于废物收集车辆路由问题的基于聚类的多蚁群殖民地系统

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The waste collection vehicle routing problems with time windows and intermediate facilities (WCVRPTWIF) is actually belong to a well-known generalization of VRP, the Multi-Depot Vehicle Routing Problem with Inter-Depot Routes (MDVRPI), which is a combinatorial optimization problem and holds a central place in reverse logistics management In order to improve the route compactness which is very important in practical application, we presents a clustering-based multiple ant colony system approach called CMACS algorithm to solve CVRPTW-IF. Our CMACS possesses a new strategy to construct solutions, called clustering-based strategy, and mutation operation. Tests are conducted on two standard instances. The results show that CMACS algorithm exhibits a robust behavior and the clustering-based strategy is effective.
机译:与时间窗口和中间设施(WCVRPTWIF)的废物收集车辆路由问题实际上属于VRP的众所周知的VRP泛化,与仓库间路由(MDVRPI)的多仓库车辆路由问题,这是一个组合优化问题在逆向物流管理中持有一个中央地,以改善实际应用中非常重要的路由紧凑性,我们介绍了一种基于聚类的多个蚁群系统方法,称为CMACS算法来解决CVRPTW-IF。我们的CMACS拥有建设解决方案的新策略,称为基于聚类的策略和突变操作。测试是在两个标准实例上进行的。结果表明,CMACS算法表现出稳健的行为,基于聚类的策略是有效的。

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