Application of Dynamic Chaos PSO Algorithm in Elevator Configuration

She, Kun; Liu, Zhe; Wan, Jing; Li, Dong Hui

doi:10.4028/www.scientific.net/amm.734.548

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Improved Pso Based On Chaos1

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2016

2024

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“…It synthesizes advantages of the swarm search of PSO and the intelligent search of agents. She et al [7] represents that dynamic chaos particle swarm optimization is the improvement of the standard PSO algorithm, is used to optimize the multiobjective optimized mathematical model of elevator configuration. So this paper proposes a new PSO algorithm based on chaos.…”

Section: Improved Pso Based On Chaosmentioning

confidence: 99%

An improved particle swarm optimization algorithm used for BP neural network and multimedia course-ware evaluation

Liu

Yin

2016

Multimed Tools Appl

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The original BP neural network has some disadvantages, such as slow convergence speed, low precision, which is easy to fall into local minimum value. So this paper proposes an improved particle swarm optimization (PSO) algorithm to optimize BP neural network. In this new algorithm, PSO uses improved adaptive acceleration factor and improved adaptive inertia weight to improve the initial weight value and threshold value of BP neural network. And we give the detailed improved process. At the end, simulation results show that the new algorithm can improve convergence rate and precision of prediction of BP neural network, which reduces the error of prediction. At the end, we use multimedia evaluation model to verify the new method's performance.

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Section: Improved Pso Based On Chaosmentioning

confidence: 99%