Swarm Intelligence in Modeling Adaptive Behavior of the Industry Cluster

Adaptation determines a healthy growth of the industry cluster. The agent-based industry cluster modeling is a helpful methodology in cluster development and it provides the combination of macro & micro quantitative analysis on adaptation. In order to make the model more realistic, the individual enterprisepsilas adaptive behavior should be modeled. In this paper, by analyzing and comparing adaptations found in both industry cluster and natural swarms, several adaptation behaviors for individual enterprise are represented under the inspiration of swarm intelligence mechanisms in detail. They are the individualpsilas core capability forming adaptation based on division of labor, the cooperative adaptation based on cooperative transport, and the competitive adaptation based on ant system algorithm. Integrated with the proposed swarm intelligence-based adaptation, the framework of a multi-agent industry cluster model is also presented for future simulation.