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非平衡交通分配的离散网络平衡设计的遗传算法
Genetic algorithm for discrete network equilibrium design problem based on non-equilibrium traffic assignment
【摘要】 针对离散网络平衡设计二层规划模型,提出了一种新的求解算法.二层规划模型中上层问题对它采用遗传算法,下层问题是平衡交通分配模型,对它采用非平衡交通分配方法的拟FrankWolfe算法,并给出了算例,数值试验结果表明本文提出的算法是有效的且计算量小、收敛较快.
【Abstract】 In this paper,a new algorithm for the bi-level programming model of discrete network equilibrium design problem is proposed.The upper model is solved by genetic algorithm and lower model by quasi-Frank-Wolfe algorithm.The numerical example is also presentd.The numerical results show that the algorithm is effective,and has the characteristics of simple computation and fast convergence speed.
【关键词】 二层规划模型;
遗传算法;
非平衡交通分配;
Frank-Wolfe算法;
【Key words】 bi-level programming; genetic algorithm model; non-equilibrium traffic assignment; Frank-Wolfe algorithm;
【Key words】 bi-level programming; genetic algorithm model; non-equilibrium traffic assignment; Frank-Wolfe algorithm;
【基金】 国家自然科学基金项目(70771079);中南民族大学中央高校基本科研业务费专项资金项目(ZZQ10007)
- 【文献出处】 华中师范大学学报(自然科学版) ,Journal of Huazhong Normal University(Natural Sciences) , 编辑部邮箱 ,2011年02期
- 【分类号】TP18;O157.5
- 【被引频次】1
- 【下载频次】77