改进型蚁群算法在Job Shop问题中的应用
Application of Improved Ant Colony System to Job Shop Scheduling Problem
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摘要: 应用改进型蚁群算法解决车间作业调度问题。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。由于算法中的参数对算法的求解效率和求解结果都有一定的影响,所以对此也进行了初步的研究,得到了运行较好的参数取值范围。Abstract: 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.The statistic results verify that improved ant colony systems are more efficient than the standard ant colony system.The algorithm parameter settings seem to play a crucial role in its efficiency and determine the quality of solutions,so some statistic analysis for parameter tuning is given.