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Pareto多目标模糊调度算法研究
引用本文:张宏国,王彦俊.Pareto多目标模糊调度算法研究[J].哈尔滨理工大学学报,2013(5):47-51.
作者姓名:张宏国  王彦俊
作者单位:[1]哈尔滨理工大学软件学院,黑龙江哈尔滨150080 [2]哈尔滨理工大学计算机科学与技术学院,黑龙江哈尔滨150080
摘    要:针对企业项目调度中具有多个目标的特性,现实情况中面临资源的可用时间和活动的执行时间具有不确定性,提出了多目标模糊调度模型.在多目标模糊项目调度模型的基础上提出了Pareto多目标模糊遗传调度算法,针对调度中所获得的解空间的多样性问题,在多目标模糊调度算法中引入共享机制平衡解空间的分布.最后对算法进行了实例验证并与其他多目标调度问题的算法进行了比较,验证其有效性.

关 键 词:多目标  模糊调度  Pareto最优解方法

Research on Pareto Multi-objective Fuzzy Scheduling Algorithm
ZHANG Hong-guo,WANG Yan-jun.Research on Pareto Multi-objective Fuzzy Scheduling Algorithm[J].Journal of Harbin University of Science and Technology,2013(5):47-51.
Authors:ZHANG Hong-guo  WANG Yan-jun
Affiliation:1. School of Software, Harbin University of Science and Technology, Harbin 150080, China; 2. School of Computer Science and technology, Harbin University of Science and Technology, Harbin 150080, China)
Abstract:As the multi-objective character of enterprise program scheduling and both the resource available time and activities execution time is uncertain, we presented a multi-objective fuzzy scheduling model. Based on the multi-objective fuzzy scheduling model we presented a pareto multi-objective fuzzy genetic algorithm, for the di- versity of solution space by using shared niche technique in multi-objective fuzzy scheduling algorithm. In the end, an example is used to verify the algorithm with other muhi-objective scheduling algorithm.
Keywords:multi-objective  fuzzy scheduling  Pareto-optimal solutions
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