Research on Scheduling in Multi-Softman System with the Learning Mode Based on Genetic Algorithms
Jie Pang, Ning Shurong, Guizhi Li, Wei Yaoguang, Xuyan Tu · 2006
The concept, characteristics and models of Softman are discussed in this paper. An individual Softman overall model is given. Also the learning mode based on genetic algorithms which used to the scheduling (decomposition of the task, distribution of sub-duties and multi-Softman parallel solution) in Multi-Softman System is proposed. Genetic algorithms are mostly applied to the distribution of the task and multi-Softman parallel solution.