Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13522
Title: Self-organization evolution of supply networks : system modeling and simulation based on multi-agent
Authors: Li, G
Sun, L
Ji, P 
Li, H
Issue Date: 2005
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2005, v. 3801 lnai, p. 405-409 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
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.
Description: International Conference on Computational Intelligence and Security, CIS 2005, Xi'an, 15-19 December 2005
URI: http://hdl.handle.net/10397/13522
ISBN: 3540308180
9783540308188
ISSN: 0302-9743
EISSN: 1611-3349
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