A Novel Parallel and Distributed Algorithm Based on Crossbar Composite Spring Nets
This paper presents a spring net approach to multi-agent systems (MAS) and computer networks (CN), which transforms the parallel optimization problem in MAS and CN into the evolutionary deformation process of a class of crossbar composite spring nets (CCSN). The proposed spring net is essentially di...
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| Published in: | 2008 Fourth International Conference on Natural Computation Vol. 2; pp. 267 - 271 |
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| Main Authors: | , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
01.10.2008
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| Subjects: | |
| ISBN: | 9780769533049, 0769533043 |
| ISSN: | 2157-9555 |
| Online Access: | Get full text |
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| Abstract | This paper presents a spring net approach to multi-agent systems (MAS) and computer networks (CN), which transforms the parallel optimization problem in MAS and CN into the evolutionary deformation process of a class of crossbar composite spring nets (CCSN). The proposed spring net is essentially different from the elastic net developed by Durbin and Willshaw and subsequently extended byClaudia, Burr, Stone, et al. The mathematical and physical models of the CCSN used for parallel optimization in MAS and CN are discussed. The CCSN approach outperforms over the elastic net and other optimization methods currently used in MAS and CN in terms of the ability to deal with a variety of complicated social interactions and autonomous behaviors that may occur in MAS and CN. |
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| AbstractList | This paper presents a spring net approach to multi-agent systems (MAS) and computer networks (CN), which transforms the parallel optimization problem in MAS and CN into the evolutionary deformation process of a class of crossbar composite spring nets (CCSN). The proposed spring net is essentially different from the elastic net developed by Durbin and Willshaw and subsequently extended byClaudia, Burr, Stone, et al. The mathematical and physical models of the CCSN used for parallel optimization in MAS and CN are discussed. The CCSN approach outperforms over the elastic net and other optimization methods currently used in MAS and CN in terms of the ability to deal with a variety of complicated social interactions and autonomous behaviors that may occur in MAS and CN. |
| Author | Qing Shuai Dianxun Shuai |
| Author_xml | – sequence: 1 surname: Dianxun Shuai fullname: Dianxun Shuai organization: East China Univ. of Sci. & Technol., Shanghai – sequence: 2 surname: Qing Shuai fullname: Qing Shuai organization: Jiangxi Sociology Sci. Acad., Nanchang |
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| Snippet | This paper presents a spring net approach to multi-agent systems (MAS) and computer networks (CN), which transforms the parallel optimization problem in MAS... |
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| StartPage | 267 |
| SubjectTerms | Cities and towns Computer networks Concurrent computing crossbar composite spring net Distributed algorithms distributed artificial intelligence Distributed computing distributed problem solving Logic multi-agent system Multiagent systems parallel algorithm Rubber Sociology Springs |
| Title | A Novel Parallel and Distributed Algorithm Based on Crossbar Composite Spring Nets |
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