A class of nonlinear optimization models for location of station by genetic algorithm
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摘要: 分析了铁路枢纽辅助站选址问题的背景和由来, 讨论了辅助站的加入对枢纽地方车流作业选择的影响和修正, 构造了基于辅助站的选址和地方车流的优化组织为核心的数学模型。针对所建模型为大规模NP- Hard问题的特点, 提出了利用遗传算法求解模型的主要策略, 并进行了仿真计算Abstract: This paper analyzes the background and origin of the problem for lication of assistant yard, discusses the influence and revision for local traffics as building a new assistant yard in a railway hub. Based on above analysis and discussion, a mathematical model for location of assistant yard and optimization of local traffics in the hub is designed. According to the characteristics of NP hard problem, the main measures for solving the model by genetic algorithms is put forward, and a numerical example is tested on a real railway hub in China.
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Key words:
- railway hub /
- location of station /
- local traffic /
- mathematical model /
- genetic algorithm
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