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Received:January 10, 2011 Revised:February 26, 2011
Received:January 10, 2011 Revised:February 26, 2011
中文摘要: 针对公共自行车交通系统的静态车辆调度问题,以运输成本最少为目标建立公共自行车交通系统调度模型,提出了一种将模拟退火算法融合到遗传算法中的混合启发式算法来求解该模型,增强算法的全局搜索能力和效率.通过实例结果表明,优化后运输车辆行驶路程比优化前减少了50%,说明遗传模拟退火算法具有良好的鲁棒性和收敛性,适合解决车辆的优化调度问题.
Abstract:For the public bicycle system static vehicle scheduling problem, this paper proposes a public bicycle scheduling model with the target of transportation costs at least. It proposes an algorithm with simulated annealing algorithm integrated into genetic algorithm and it enhances the global search capability and efficiency. The example result shows that the optimized route with a reduction of 50%. It shows that the genetic simulated annealing algorithm has a good robustness and convergence and it is better for solving vehicle scheduling problem.
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刘登涛,方文道,章坚民,郭明泽.公共自行车交通系统调度算法.计算机系统应用,2011,20(9):112-116
LIU Deng-Tao,FANG Wen-Dao,ZHANG Jian-Min,GUO Ming-Ze.Scheduling Algorithm for Public Bicycle System.COMPUTER SYSTEMS APPLICATIONS,2011,20(9):112-116
刘登涛,方文道,章坚民,郭明泽.公共自行车交通系统调度算法.计算机系统应用,2011,20(9):112-116
LIU Deng-Tao,FANG Wen-Dao,ZHANG Jian-Min,GUO Ming-Ze.Scheduling Algorithm for Public Bicycle System.COMPUTER SYSTEMS APPLICATIONS,2011,20(9):112-116
