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.

 
  • 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。
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