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Research on Scheduling in Multi-Softman System with the Learning Mode Based on Genetic Algorithms

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5 Author(s)
Pang Jie ; Sch. of Inf., Beijing Forestry Univ. ; Ning Shurong ; Li Guizhi ; Wei Yaoguang
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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

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Networking, Sensing and Control, 2006. ICNSC '06. Proceedings of the 2006 IEEE International Conference on

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