Industrial cluster path evolution based on particle swarm optimization

This paper associates the self-organizing path dependence rules of the industrial cluster with particle swarm optimization (PSO). After an in-depth study of the application of PSO to the industrial cluster, an industrial cluster evolution model based on PSO is put forward. The model is applied to Shandong provincial automobile industrial clusters, with results suggesting that PSO can qualitatively and quantitatively describe the industrial cluster process. Through further solution and analysis of the above case, it is found that, when government's macro-control is proper and competition and cooperation between enterprises reach a balance, the position of the final industrial cluster can converge on the position of the global optimum competitiveness. On the coordinate position of (2.7, 1.4) near the south of Yantai, the competitiveness value of the industrial cluster obtained through convergence reaches the maximum, namely 0.3944. However, if government's macro-control is excessive or inadequate, or competition and cooperation between enterprises lose their balance, the industrial cluster will be located at the local optimal competitiveness. The coordinate position is (0.3, 1.2), which is close to the north of Liaocheng.