摘要
为了求解工件具有不同尺寸的批处理机调度问题,将蚁群算法调整为工件直接成批的调度算法,并提出了一个新的局部优化算法对蚁群算法进行改进。最后通过仿真实验将本算法与其它算法对本问题的求解进行了比较,表明该算法在求解批调度问题上有较好的性能。
An ant colony algorithm(ACO) was proposed to study the problem of minimizing makespan on a single batch processing machine with non-identical jobs sizes. ACO was used by grouping several jobs into a batch directly and the parameter settings were also discussed. A new local search algorithm was provided to improve the performance of the ACO. The computational experiment was conducted to show the improvement of ACO compared to some other algo- rithms.
出处
《计算机科学》
CSCD
北大核心
2013年第5期247-250,共4页
Computer Science
基金
南京农业大学青年科技创新基金项目(KJ2012018)资助
关键词
调度
蚁群算法
制造跨度
组合优化
Scheduling
Ant colony algorithm
Makespan
Combinatorial optimization