Particle Swarm Optimization with Power-Law Parameter Based on the Cross-Border Reset Mechanism

Particle Swarm Optimization with Power-Law Parameter Based on the Cross-Border Reset Mechanism

In order to improve the performance of traditional particle swarm optimization, this paper introduces the principle of Levy flight and cross-border reset mechanism. In the proposed particle swarm optimization, the dynamic variation of parameters meets the power-law distribution and the pattern of...

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Bibliographic Details
Main Authors: WANG, H., FEI, Y., LI, Y., REN, S., CHE, J., XU, H.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2017-11-01
Series:Advances in Electrical and Computer Engineering
Subjects:
evolutionary computation
optimization
particle swarm optimization
performance evaluation
benchmark testing
Online Access:http://dx.doi.org/10.4316/AECE.2017.04008

Internet

http://dx.doi.org/10.4316/AECE.2017.04008

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