Title :
Research on Scheduling in Multi-Softman System with the Learning Mode Based on Genetic Algorithms
Author :
Jie, Pang ; Shurong, Ning ; Guizhi, Li ; Yaoguang, Wei ; Xuyan, Tu
Author_Institution :
Sch. of Inf., Beijing Forestry Univ.
Abstract :
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 was used for 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 in multi-Softman parallel solution
Keywords :
artificial life; genetic algorithms; learning (artificial intelligence); multi-agent systems; scheduling; genetic algorithms; learning mode; multiSoftman system; scheduling; Agricultural engineering; Artificial intelligence; Genetic algorithms; Humans; Intelligent agent; Intelligent networks; Intelligent robots; Learning; Samarium; Scheduling; AL; Softman; genetic algorithms; learning mode; scheduling;
Conference_Titel :
Networking, Sensing and Control, 2006. ICNSC '06. Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Ft. Lauderdale, FL
Print_ISBN :
1-4244-0065-1
DOI :
10.1109/ICNSC.2006.1673292
