Self-organization evolution of supply networks: System modeling and simulation based on multi-agent

Gang Li; Linyan Sun; Ping Ji; Haiquan Li

Self-organization evolution of supply networks: System modeling and simulation based on multi-agent

Gang Li, Linyan Sun, Ping Ji, Haiquan Li

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

4 Citations (Scopus)

Abstract

This paper demonstrates the self-organization evolution of distributed Supply Networks (SNs) based on fitness landscape theory. The environment and the internal mechanism are the origin of SN evolution. The SN emerges from the local interaction of the firms to fulfill the stochastic demands. The collaboration among firms is path dependence. The evolution of a SN is self-reinforcement and sensitive to initial conditions, which may lead to multiple equilibrium state and chaos. The evolution result is non-deterministic and can not be predicted precisely. The long-term strategy is better than short-term strategy for a firm in SN collaboration to adapt to the environment.

Original language	English
Title of host publication	Computational Intelligence and Security - International Conference, CIS 2005, Proceedings
Pages	405-409
Number of pages	5
Publication status	Published - 1 Dec 2005
Event	International Conference on Computational Intelligence and Security, CIS 2005 - Xi'an, China Duration: 15 Dec 2005 → 19 Dec 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3801 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Computational Intelligence and Security, CIS 2005
Country/Territory	China
City	Xi'an
Period	15/12/05 → 19/12/05

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Cite this

Li, G., Sun, L., Ji, P., & Li, H. (2005). Self-organization evolution of supply networks: System modeling and simulation based on multi-agent. In Computational Intelligence and Security - International Conference, CIS 2005, Proceedings (pp. 405-409). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3801 LNAI).

Li, Gang ; Sun, Linyan ; Ji, Ping et al. / Self-organization evolution of supply networks: System modeling and simulation based on multi-agent. Computational Intelligence and Security - International Conference, CIS 2005, Proceedings. 2005. pp. 405-409 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Self-organization evolution of supply networks: System modeling and simulation based on multi-agent",

abstract = "This paper demonstrates the self-organization evolution of distributed Supply Networks (SNs) based on fitness landscape theory. The environment and the internal mechanism are the origin of SN evolution. The SN emerges from the local interaction of the firms to fulfill the stochastic demands. The collaboration among firms is path dependence. The evolution of a SN is self-reinforcement and sensitive to initial conditions, which may lead to multiple equilibrium state and chaos. The evolution result is non-deterministic and can not be predicted precisely. The long-term strategy is better than short-term strategy for a firm in SN collaboration to adapt to the environment.",

author = "Gang Li and Linyan Sun and Ping Ji and Haiquan Li",

year = "2005",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Li, G, Sun, L, Ji, P & Li, H 2005, Self-organization evolution of supply networks: System modeling and simulation based on multi-agent. in Computational Intelligence and Security - International Conference, CIS 2005, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3801 LNAI, pp. 405-409, International Conference on Computational Intelligence and Security, CIS 2005, Xi'an, China, 15/12/05.

Self-organization evolution of supply networks: System modeling and simulation based on multi-agent. / Li, Gang; Sun, Linyan; Ji, Ping et al.
Computational Intelligence and Security - International Conference, CIS 2005, Proceedings. 2005. p. 405-409 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3801 LNAI).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Sun, Linyan

AU - Ji, Ping

AU - Li, Haiquan

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N2 - This paper demonstrates the self-organization evolution of distributed Supply Networks (SNs) based on fitness landscape theory. The environment and the internal mechanism are the origin of SN evolution. The SN emerges from the local interaction of the firms to fulfill the stochastic demands. The collaboration among firms is path dependence. The evolution of a SN is self-reinforcement and sensitive to initial conditions, which may lead to multiple equilibrium state and chaos. The evolution result is non-deterministic and can not be predicted precisely. The long-term strategy is better than short-term strategy for a firm in SN collaboration to adapt to the environment.

AB - This paper demonstrates the self-organization evolution of distributed Supply Networks (SNs) based on fitness landscape theory. The environment and the internal mechanism are the origin of SN evolution. The SN emerges from the local interaction of the firms to fulfill the stochastic demands. The collaboration among firms is path dependence. The evolution of a SN is self-reinforcement and sensitive to initial conditions, which may lead to multiple equilibrium state and chaos. The evolution result is non-deterministic and can not be predicted precisely. The long-term strategy is better than short-term strategy for a firm in SN collaboration to adapt to the environment.

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M3 - Conference article published in proceeding or book

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Computational Intelligence and Security - International Conference, CIS 2005, Proceedings

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Li G, Sun L, Ji P, Li H. Self-organization evolution of supply networks: System modeling and simulation based on multi-agent. In Computational Intelligence and Security - International Conference, CIS 2005, Proceedings. 2005. p. 405-409. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Self-organization evolution of supply networks: System modeling and simulation based on multi-agent

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