进化计算技术在体育产业集群演化中的研究与应用

现有的体育产业集群演化研究结果偏向于静态解释,较少学者通过动态解释体育产业集群演化过程,因此采用进化计算技术,也就是进化博弈模型动态解释体育产业集群演化过程。从体育产业集群的种子、核以及集群三种成长状态出发,分析在体育产业集群中企业博弈结构和所选择的动态机制,融合动态演化过程和博弈理论,假定体育产业集群中企业包含"不进入"体育产业集群和"进入"体育产业集群两个纯策略,同时认为体育产业集群所在企业和体育产业集群内的企业是同质的,从集群中随机选择博弈对象,依照博弈所得结果不断调整体育产业集群博弈策略,获取进化博弈模型,通过该模型探析产业集群的动态演进过程。仿真实验分析进化博弈模型的探析结果为:根据体育产业集群收益状况,可将体育产业集群划分成五个时期,即种子、核生长期、快速成长期、成熟稳定期以及衰退转型,且体育产业区集群发展过程中较为重要的是核生长期,正向作用能够有效促进体育产业区集群的演化。

一种改进的PSO算法在PID参数优化中的应用

PID控制器具有结构简单、容易实现、控制效果好、鲁棒性强等特点,其关键在于PID参数的优化。微粒群优化算法是一种进化计算技术,其优点是速度快且简单易实现。改进的PSO算法,是在基本PSO算法的基础上引入了遗传算法的思想。仿真实验表明,改进的粒子群算法显著提高了PSO算法的全局搜索能力。

The Effective Clustering Partition Algorithm Based on the Genetic Evolution

To the problem that it is hard to determine the clustering number and the abnormal points by using the clustering validity function, an effective clustering partition model based on the genetic algorithm is built in this paper. The solution to the problem is formed by the combination of the clustering partition and the encoding samples, and the fitness function is defined by the distances among and within clusters. The clustering number and the samples in each cluster are determined and the abnormal points are distinguished by implementing the triple random crossover operator and the mutation. Based on the known sample data, the results of the novel method and the clustering validity function are compared. Numerical experiments are given and the results show that the novel method is more effective.