Solving integer programming by evolutionary soft agent |
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Authors: | Yin Jian |
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Institution: | (1) Department of Computer Science, Zhongshan University, 510275 Guangzhou, Guangdong, China;(2) State Key Laboratory for Novel Software Technology, Nanjing University, 210093 Nanjing, Jiangsu, China |
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Abstract: | Many practical problems in commerce and industry involve finding the best way to allocate scarce resources a-mong competing
activities. This paper focuses on the problem of integer programming, and describes an evolutionary soft a-gent model to solve
it. In proposed model, agent is composed of three components: goal, environment and behavior. Experimental shows the model
has the characters of parallel computing and goal driving.
Foundation item: Supported by the National Natural Science Foundation of China( 60205007) , Natural Science Foundation of Guangdong Province(001264),
Research Foundation of Software Technology Key Laboratory in Guangdong Province and Research Foundation of State Key Laboratory
for Novel Software Technology at Nanjing University
Biography: Yin Jian ( 1968-), male, Associate professor, research direction: artificial intelligence, data mining. |
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Keywords: | agent integer linear programming duplication |
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