Finally, this thesis develops a dynamic vehicle scheduling system based on ant colony algorithm and compares this system with other dynamic vehicle scheduling systems.
最后，在以上研究的基础之上，开发了一套基于蚁群算法的动态车辆调度系统，并将此系统与其他动态车辆调度系统做了比较和分析。
The novel transition rule and the different pheromone reinforcement rules are discussed in this paper when ant colony systems are applied to minimizing the make-span in job shop scheduling problem.
在原有标准蚁群算法的基础上采用了新的状态转移规则，讨论了各种不同的轨迹更新规则对仿真结果的影响，并通过统计数据验证了改进型蚁群算法优于标准的蚁群优化算法。
The novel transition rule and the different pheromone reinforcement rules are discussed in this paper when ant colony systems are applied to minimizing the make-span in job shop scheduling problem.
在原有标准蚁群算法的基础上采用了新的状态转移规则，讨论了各种不同的轨迹更新规则对仿真结果的影响，并通过统计数据验证了改进型蚁群算法优于标准的蚁群优化算法。
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