The paper presented the parallel cluster algorithm of adaptive particle swarm optimization, which adopted task parallelization and partial asynchronous communication to decrease the computing time.

• 摘要提出了基于自适应微粒群优化的并行聚类算法，采用了任务分布方案和部分异步并行通信，降低了计算时间。