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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Veröffentlicht in:2008 Fourth International Conference on Natural Computation Jg. 2; S. 267 - 271
Hauptverfasser: Dianxun Shuai, Qing Shuai
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.10.2008
Schlagworte:
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
ISBN:9780769533049, 0769533043
ISSN:2157-9555
Online-Zugang:Volltext
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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.
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
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  organization: East China Univ. of Sci. & Technol., Shanghai
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  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
URI https://ieeexplore.ieee.org/document/4666998
Volume 2
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