Variable neighborhood search heuristic for the full truckload problem in liquefied petroleum gas supply

Anouar Annouch, A. Bellabdaoui
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引用次数: 2

Abstract

In this paper, we propose a generalized version of the full truckload vehicle routing problem FTVRP in the liquefied petroleum gas (LPG) supply chain. We focus on the supply component that is considered to be the main element of LPG supply chain. The objective consists of determining a schedule of weekly supply which minimizes as well the gas acquisition cost as that of its transport. In order to effectively solve this problem, the mathematical model is established and a neighboring search solution heuristics (VNS) is proposed. The initial solution is generated using a Greedy Algorithm by selecting the most beneficial nodes in terms of transportation cost and gas acquisition cost. In the experiment, different sizes' problems are used and the numerical results getting with big instance are explored.
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液化石油气全车供应问题的变邻域搜索启发式
在本文中,我们提出了液化石油气(LPG)供应链中整车路径问题FTVRP的一个广义版本。我们专注于被认为是液化石油气供应链的主要元素的供应部分。目标包括确定每周供应的时间表,以最大限度地减少天然气的获取成本和运输成本。为了有效地解决这一问题,建立了数学模型,并提出了一种邻近搜索解启发式算法。初始解采用贪心算法,根据运输成本和天然气获取成本选择最有利的节点生成。实验中采用了不同规模的问题,并对大实例的数值结果进行了探讨。
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