Author(s)

Taghreed Abo-Kila¹, Yousria Abo-Elnaga², Abd Allah A. Mousa^3,4

¹Department of Geography, Faculty of Arts, Benha University, Banha, Egypt.
²Department of Mathematics, Higher Technological Institute, Tenth of Ramadan City, Egypt.
³Department of Basic Engineering Science, Faculty of Engineering, Menoufia University, Shebin El-Kom, Egypt.
⁴Department of Mathematics and Statistics, Faculty of Sciences, Taif University, Taif, KSA.

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.

Biogeography Based Optimization, Multiobjective Optimization, Multi-Dimensional Transportation

Abo-Kila, T. , Abo-Elnaga, Y. and Mousa, A. (2021) 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. Journal of Geographic Information System, 13, 353-368. doi: 10.4236/jgis.2021.133020.