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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Stefan cel Mare University of Suceava
2017-11-01
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Series: | Advances in Electrical and Computer Engineering |
Subjects: | |
Online Access: | http://dx.doi.org/10.4316/AECE.2017.04008 |