Considering the shortage of intelligent algorithm in the multi-objective optimization,in this paper,we proposed a particle swarm optimization(PSO) algorithm which adaptive adjustment learning *** algorithm dynamically...
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ISBN:
(纸本)9781467397155
Considering the shortage of intelligent algorithm in the multi-objective optimization,in this paper,we proposed a particle swarm optimization(PSO) algorithm which adaptive adjustment learning *** algorithm dynamically adjust the learning factor to make it avoid falling into local minima,then with the help of average thought,choosing the best through the comparison of fitness and average *** introducing shrinkage factor,improve the convergence of *** compared with the standard pso algorithm and other improved pso algorithm in the classic functions,the effect is ***,simulating on the aeroengine multivariable robust h controller design,the simulation results show that the algorithm has good performance.
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