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机译:将两种有效的混合启发式方法用于具有完全互连的骨干网和接入网的集线器位置问题
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran;
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran;
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran;
Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran;
Hierarchical networks; Hub location; Hybrid heuristic; Simulated annealing; Tabu search; Variable neighborhood search;
机译:完全互连的骨干网和接入网的集线器位置问题
机译:一种有效的混合启发式算法,解决小型无能力轮辐网络的集线器定位问题
机译:具有完全互连的骨干网和接入网的集线器位置问题的并行进化算法
机译:运营商协作网络:混合中心位置和算法。
机译:基于NoS-FA的加权脑网络集线器定位方法研究
机译:完全互联骨干网和接入网的集线器定位问题