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A simulated annealing heuristic for the open location-routing problem

机译:开放位置路由问题的模拟退火启发法

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This paper introduces the open location-routing problem (OLRP) that is a variant of the capacitated location-routing problem (CLRP). OLRP is motivated from the rise in contracting with third-party logistic (TPL) companies and is different from CLRP in that vehicles do not return to the distribution center after servicing all customers. The goal of OLRP is to minimize the total cost, consisting of facility operation costs, vehicle fixed costs, and traveling costs. We propose a simulated annealing (SA)-based heuristic for solving OLRP, which is tested on OLRP instances that have been adopted from three sets of well-known CLRP benchmark instances with up to 318 customers and 4 potential depots. The computational results indicate that the proposed heuristic efficiently solves OLRP. (C) 2014 Elsevier Ltd. All rights reserved.
机译:本文介绍了开放位置路由问题(OLRP),它是容量限制位置路由问题(CLRP)的变体。 OLRP受到与第三方物流(TPL)公司签订合同的推动,并且与CLRP的不同之处在于,车辆在为所有客户提供服务后不会返回配送中心。 OLRP的目标是最小化总成本,包括设施运营成本,车辆固定成本和差旅成本。我们提出了一种基于模拟退火(SA)的启发式方法来求解OLRP,并在OLRP实例上进行了测试,该实例已从三组著名的CLRP基准实例中采用,最多有318个客户和4个潜在仓库。计算结果表明,所提出的启发式算法有效地解决了OLRP问题。 (C)2014 Elsevier Ltd.保留所有权利。

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