Multi-Objective Multi-Dimensional Transportation: A Case Study to the Flow of the Commodities of the Main Roads to Main Nodes in the North Western Coastal Strip of Egypt

Taghreed Abo-Kila, Y. Abo-Elnaga, A. Mousa
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Abstract

The distribution of merchandises and commodities from source towns to final destinations is a vital issue. The job of transporter’s decisions can be optimized by reformulating the transportation problem as generalization of the classical transportation problems. Multiobjective multi-dimensional transportation network is considered the extension of conventional two-dimensional transportation network and is convenient for dealing with transportation systems with multiple supply nodes, multiple demand nodes, as well as diverse modes of transportation demands or delivering multiple kinds of merchandises. In this study, we implement an improved Biogeography based optimization IBBO to the flow of the commodities of the main roads to main nodes in the North Western Coastal Strip of Egypt, where there are four main roads and three nodes. The proposed algorithm incorporates the dominance criteria to handle multiple objective functions which enable the decision maker to cover all the Pareto frontier of the problem which have a large-scale size. Numerical results were reported in order to establish the real computational burden of the proposed algorithm and to assess its convergence performances for solving real geographical problem.
多目标多维运输——以埃及西北海岸带主要道路商品流向主要节点为例
商品和商品从来源城镇到最终目的地的分配是一个至关重要的问题。运输决策的工作可以通过将运输问题重新表述为经典运输问题的推广来优化。多目标多维运输网络被认为是传统二维运输网络的延伸,便于处理具有多个供应节点、多个需求节点以及多种运输需求模式或交付多种商品的运输系统。在这项研究中,我们对埃及西北海岸带主要道路到主要节点的商品流实施了改进的基于生物地理的优化IBBO,该地区有四条主要道路和三个节点。所提出的算法结合了支配准则来处理多个目标函数,使决策者能够覆盖具有大规模规模的问题的所有Pareto边界。给出了数值结果,以确定所提出算法的实际计算负担,并评估其在解决实际地理问题时的收敛性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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