摘要
为有效解决制造网格中资源调度问题,提出了多目标调度优化模型。并根据用户的要求,采用AHP算法确定各目标权重联系到资源调度问题的特性,设计了基于遗传模拟退火算法的调度策略,最后给出一个典型实例,验证方法的有效性。
To resolve resource scheduling problem efficiently in manufacturing grid,a multi-objective optimization model is put forward.And adopt the AHP algorithms to ascertain every target weight according to the request of consumer.Contacting the characteristic property to resource controller problem,have designed the scheduling strategy based on genetic algorithms and simulated anealing.Finally,a typical instance is illustrated to validate the model and algorithm.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第6期234-236,242,共4页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of Chinaunder Grant No.50675208)
浙江省自然科学基金(the Natural Science Foundation of Zhejiang Province of Chinaunder Grant No.Y605187)。
关键词
制造网格
资源调度
层次分析法
遗传算法
模拟退火算法
manufacturing grid
resource scheduling
analytic hierarchy procedure
genetic algorithms
simulated anealing algorithms
