文献类型：期刊文献

英文题名：A study of social sports scheduling based on genetic algorithm

作者：Qi, Aili[1]; Wang, Fatao[2]; Xu, Feng[1]; Zhen, Feng[1]

第一作者：Qi, Aili

通讯作者：Qi, A.

机构：[1] School of Sports and Health, Bijie University, China; [2] College of Arts and Science, Beijing Union University, China

第一机构：School of Sports and Health, Bijie University, China

年份：2012

卷号：4

期号：21

起止页码：114-122

外文期刊名：Advances in Information Sciences and Service Sciences

收录：EI(收录号：20124915764376);Scopus(收录号：2-s2.0-84870367191)

语种：英文

外文关键词：Application programs - Genetic algorithms - Scheduling - Simulated annealing

摘要：With the continuous development of social sports, a comprehensive social sports project tends to face multiple concurrent projects which will inevitably induce competitions for some of the resources of social sports. This thesis deals with how to reasonably arrange the start time of these activities while meeting various constraint conditions to obtain the entire project scheduling and to minimize the total duration of the projects' occupancy for social sports resources. Combined with the simulated annealing algorithm, scheduling algorithm for the social sports project is designed to study the problem of social sports scheduling. It is confirmed through practice that the genetic algorithm enjoys a good application prospect in the actual work and it can be widely applied because of its fast calculation and its easy integration into the software system.