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- W2367317360 abstract "Aiming at the blind search of the chaotic particle swarm algorithm,Particle Swarm Optimization(PSO) based on dynamic chaotic perturbations is proposed.The dynamic chaotic perturbations are introduced for the standard PSO.Small disturbances are used when the optimal value changes.The chaotic disturbances within dynamical range of disturbances are used when the optimal value unchanges many times.It not only can reduce the blind search of the chaotic particle swarm algorithm,but also can improve the search speed and search efficiency,so that the limited time is spent on the most effective search.The algorithm is applied to the K-means algorithm,which can overcome the shortcomings of the local optimum and the sensitive to initial value in the K-means algorithm,and it can stably acquire the global optimal solution.The efficiency and stability of the algorithms are confirmed by the simulation experiments." @default.
- W2367317360 created "2016-06-24" @default.
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- W2367317360 date "2011-01-01" @default.
- W2367317360 modified "2023-09-23" @default.
- W2367317360 title "Particle Swarm Optimization Based on Dynamic Chaotic Perturbations and Its Application" @default.
- W2367317360 hasPublicationYear "2011" @default.
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