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Adaptive hybrid particle swarm optimization algorithm and application
一种自适应混合粒子群优化算法及其应用*

Keywords: PSO(particle swarm optimization),SM(simplex method),fitness,inertia weight
粒子群
,单纯形,适应度,惯性权重

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Abstract:

To improve the performance of the particle swarm optimization(PSO) algorithm,this paper proposed an adaptive hybrid particle swarm optimization(AHPSO) algorithm based on simplex method(SM) and PSO.AHPSO could dynamically adjust the particle's inertia weight according to the search needs,used SM to enhance the search capability when meet searching stagnate.The simulations prove the AHPSO have better optimization performance than SPSO and SMPSO.Aero-engine PID controller tuning test prove AHPSO have the bette...

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