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Algorithm and Simulation of Chinese Traditional Industrial Clusters Low Carbon Evolution Based on Evolutionary Games Theory on Complex Networks
- Source :
- Advanced Materials Research. :2047-2052
- Publication Year :
- 2013
- Publisher :
- Trans Tech Publications, Ltd., 2013.
-
Abstract
- Industrial clusters are complex networks formed by numerous agents who continuously imitate, learn from each other and make optimal choice accordingly. The paper uses random learning game and multi-agent system models to construct a Chinese traditional industrial clusters low carbon evolution model and introduce an algorithm based on the network external effect and characteristics of agents adaptive behavior. Then the simulation of low-carbon competition, emergence and evolution was conducted, which produced some valuable conclusions.
Details
- ISSN :
- 16628985
- Database :
- OpenAIRE
- Journal :
- Advanced Materials Research
- Accession number :
- edsair.doi...........9d1688928692cc786ed580af1ad86519