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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
【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.
【关键词】 蚁群算法;
车间作业调度问题;
状态转移规则;
轨迹更新规则;
【Key words】 ant colony system; job shop scheduling problem; node transition rule; pheromone reinforcement rule;
【Key words】 ant colony system; job shop scheduling problem; node transition rule; pheromone reinforcement rule;
【基金】 国家自然科学基金项目(60274043);国家高技术发展计划项目(2002AA412610)
- 【文献出处】 华东理工大学学报(自然科学版) ,Journal of East China University of Science and Technology(Natural Science Edition) , 编辑部邮箱 ,2006年04期
- 【分类号】TP301.6
- 【被引频次】38
- 【下载频次】358