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

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

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 solutio...

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Bibliographische Detailangaben
Hauptverfasser: Pang Jie, Ning Shurong, Li Guizhi, Wei Yaoguang, Tu Xuyan
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Agricultural engineering
Artificial intelligence
Genetic algorithms
Humans
Intelligent agent
Intelligent networks
Intelligent robots
Learning
learning mode
Samarium
Scheduling
Softman
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Beschreibung
Zusammenfassung: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
DOI:10.1109/ICNSC.2006.1673292