面向云制造服务的制造资源多目标动态优化调度  

Multi-objective Dynamic Scheduling of Manufacturing Resource to Cloud Manufacturing Services

作　　者：邰丽君[1] 胡如夫[1] 赵韩[2] 陈曹维[1] 

机构地区：[1]宁波工程学院,宁波315211 [2]合肥工业大学,合肥230009

出　　处：《中国机械工程》2013年第12期1616-1622,共7页China Mechanical Engineering

摘　　要：针对云制造环境下制造资源调度的特点和存在的问题,建立了云制造环境下制造服务资源多目标调度模型。根据云制造环境下极易发生扰动的特点,提出了一种动态调度技术,以在发生突发事件时及时作出反应。提出了一种基于遗传蚁群算法的制造资源调度算法,该算法利用遗传算法搜索能力强、收敛速度快的优势弥补蚁群算法易陷入局部最优、收敛速度慢的不足,使整个调度过程能快速、准确地收敛于最优解。最后用实例证明了该算法的有效性。According to the characteristics and problems of manufacturing resource scheduling in cloud manufacturing environment,a multi-- objective optimization mathematical model was provided, and a dynamic scheduling technology was put forward,according to the characteristics of the disturb- ance events can happen easily in cloud manufacturing environment. It was able to respond timely when an incident. A manufacturing resource scheduling method was presented based on genetic ant colony algorithm. In order to make up the lack of ant colony algorithm easy to fall into local optimum and the slow rate of convergence, advantage of genetic algorithm search ability and fast convergence were used to make the whole operation process converge quickly and accurately to the optimal solution. Finally the results of simulation indicate the validity of algorithm.

关 键 词：云制造 多目标优化 动态调度 遗传算法 蚁群算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TH166[自动化与计算机技术—计算机科学与技术]