نوع مقاله : پژوهشی
نویسندگان
1 گروه مهندسی صنایع، دانشکده مهندسی، دانشگاه سیستان و بلوچستان، زاهدان، ایران
2 مهندسی صنایع، مهندسی شهید نیکبخت، سیستان و بلوچستان، زاهدان، ایران
3 گروه ریاضی، دانشکده ریاضی، دانشگاه سیستان و بلوچستان، زاهدان، ایران
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Hub location problems are one of the most important branches of transportation widely used in strategic areas such as postal systems, transportation systems and communication networks. In the distribution network, hubs reduce the costs of current transmission in the network and thus lead to increased system efficiency. This study presents a two-objective model for hierarchical hub location problem. Due to the importance of environmental problems in the real world and concern of increasing destructive environmental pollutions, this study addresses the improving and reducing costs as well as environmental problems. The proposed model examines multi-mode transport and creates several types of transport systems in one hub. Using GAMS software, small-scale problems are solved, and large-scale problems are solved by using metaheuristic genetic algorithms, strong Pareto and gray wolf and the results are compared with each other. The results showed that DNS and ADNS criteria also increase by increasing the dimensions of the problem and creating different responses, each of which can be a member of the Pareto front. Given that these two criteria are directly related to the number of members of the Pareto front produced, as dimensions of the problem increase, so does their value. But this growth rate in the gray wolf algorithm is relatively higher than other algorithms. In other words, the gray wolf algorithm has a higher ability to find Pareto responses in various examples. A similar analysis can be done for response quality criterion (QM). Obviously, the gray wolf algorithm shows higher percentages for this criterion. In terms of runtime, this mode also has the ability to find responses and converge to final results in less time. According to the results, it can be seen that the proposed algorithms have good efficiency; because the difference trend in the gray wolf algorithm and other algorithms is logical.
کلیدواژه‌ها [English]
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