摘要

An adaptive particle swarm optimization (LAPSO) is proposed according to analysis of inertia weight, global convergence and convergent speed as well as accuracy. This novel method is deeply investigated on the basis of three different benchmark functions. The experimental results are compared with those predicted by LWPSO and LKPSO, and show that the current LAPSO is more performance in speed and accuracy convergence. Thereby, LAPSO is a global particle swarm optimization.

  • 出版日期2009
  • 单位河北建筑工程学院