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The Road Network Design Problem in Regional Contexts: Meta-Heuristic Algorithms for Solving Real-Scale Problems

机译:区域环境下的道路网络设计问题:解决实际问题的元启发式算法

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In this paper we focus on the road network design problem in regional contexts. In this case a plannermay have financial resources to invest for improving performance on existing roads. Against thebackground of an extensive literature of optimisation models and algorithms to solve this problem, theinnovative aspects of this paper are as follows: the optimisation model refers to the daily operation of thenetwork; the objective function also considers the environmental costs; the proposed meta-heuristicsolution algorithm has never been used to solve this problem; and the assignment algorithm is based onAnt Colony Optimisation in order to reduce computing times. The model and algorithm were tested on areal-scale problem, showing their applicability to real dimension networks.
机译:在本文中,我们重点研究区域环境下的道路网络设计问题。在这种情况下,规划师 可能有财务资源可以投资,以改善现有道路的性能。反对这 解决此问题的优化模型和算法的大量文献的背景知识 本文的创新之处如下:优化模型是指企业的日常运营。 网络;目标函数还考虑了环境成本;拟议的元启发式 解决算法从未被用来解决这个问题。并且分配算法基于 蚁群优化,以减少计算时间。该模型和算法在 实际规模的问题,显示了它们对实际维度网络的适用性。

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