现代制造工程Issue(11)：105-109,5.DOI:10.16731/j.cnki.1671-3133.2017.11.019
基于记忆曲线模型的蚁群算法在柔性作业车间的调度优化
Ant colony algorithm in flexible job-shop scheduling optimization based on memory curve model
摘要
Abstract
The colony algorithm shop scheduling aspect of the application has been studied for its convergence rate in terms of solving the flexible job-shop scheduling problem is slow and easy to fall into local optimal solution,proposed a biological memory curve based on the principle of information pheromone update rules.The shortest processing time as the objective function objective function flexible job-shop scheduling,combined with practical examples using MATLAB to solve.By contrast with the basic ant colony algorithm and other intelligent algorithm analysis,based on the principles of biological memory curve pheromone update rule it proposed solving ability and has a good convergence capability.关键词
车间调度/信息素更新规则/记忆曲线/柔性车间/蚁群算法Key words
job-shop scheduling/pheromone updating rules/memory curve/flexible workshop/ant colony algorithm分类
信息技术与安全科学引用本文复制引用
张于贤,丁修坤,薛殿春,王晓婷,程书瑞..基于记忆曲线模型的蚁群算法在柔性作业车间的调度优化[J].现代制造工程,2017,(11):105-109,5.基金项目
国家自然科学基金项目(51461009) （51461009）
广西高等学校科学研究重点资助项目(SK13ZD016) （SK13ZD016）
广西研究生科研创新项目(YCSW2015155,YCSW2014147,YCSW2012066) （YCSW2015155,YCSW2014147,YCSW2012066）
国家大学生创新项目(ZJW41137) （ZJW41137）
