【摘要】 在改进选择策略 ,实行两点变异并采用随机的交叉概率与变异概率的基础上 ,将遗传算法应用于系统最优交通分配模型中 .通过算例与Frank Wolfe算法进行比较 ,说明了遗传算法的有效性与可行性 ,指出了遗传算法相对于Frank Wolfe算法特有的优越性 .为交通分配问题的计算引入了新的有效途径 .更多还原

【Abstract】 Based on the improved choice tactics,applying two pointed mutation and adopting the stochastic probability of crossover and mutation,the paper applied the Genetic Algorithm to the Traffic Assignment Model with System Optimization.Compared with the Frank Wolfe Algorithm,by using a practical instance,it proved the effectivity and feasibility of Genetic Algorithm and pointed its advantage.It introduced a new effective way for the computation of traffic assignment problem.更多还原