Solving resource availability cost problem in project scheduling by pseudo particle swarm optimization

查看全文 作　　者：Jianjun [1]Qi;Bo [1]Guo;Hongtao [1]Lei;Tao [1]Zhang

机构地区：[1]School of Information System and Management,National University of Defense Technology

出　　处：《Journal of Systems Engineering and Electronics》索引2014年第25卷第1期,共8页

基　　金：supported by the National Natural Science Foundation of China(71201166;71201170) 摘　　要：This paper considers a project scheduling problem with the objective of minimizing resource availability costs appealed to finish all activities before the deadline. There are finishstart type precedence relations among the activities which require some kinds of renewable resources. We predigest the process of solving the resource availability cost problem(RACP) by using start time of each activity to code the schedule. Then, a novel heuristic algorithm is proposed to make the process of looking for the best solution efficiently. And then pseudo particle swarm optimization(PPSO) combined with PSO and path relinking procedure is presented to solve the RACP. Finally, comparative computational experiments are designed and the computational results show that the proposed method is very effective to solve RACP. 关键词：可再生资源粒子群优化成本问题项目调度可用性计算结果调度问题优化过程

相关文献

参考文献（34）
引证文献（4）
耦合文献（19）

参考文献(34)

引证文献(4)

耦合文献(19)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

Solving resource availability cost problem in project scheduling by pseudo particle swarm optimization

参考文献(34)

引证文献(4)

耦合文献(19)

用户提示