|Table of Contents|

Particle Swarm Optimization Algorithm With Improved Particle Velocity and Position Update Formula(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2022年01期
Page:
118-126
Research Field:
·计算机科学与技术·
Publishing date:

Info

Title:
Particle Swarm Optimization Algorithm With Improved Particle Velocity and Position Update Formula
Author(s):
Li Erchao; Gao Zhenlei
(College of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China)
Keywords:
particle swarm optimization; adaptive; Logistic chaos; convergence rate; optimization precision
PACS:
TP273
DOI:
10.3969/j.issn.1001-4616.2022.01.017
Abstract:
Particle swarm optimization algorithm with improved particle velocity and position update formula(IPSO-VP)is proposed to solve the problems of low solution precision,poor local search ability and slow convergence rate in the later stage of evolution. IPSO-VP algorithm proposes an adaptive particle velocity and position update strategy,which adopts the inertia weight based on Logistic chaos,which is nonlinear,to accelerate the convergence rate,balance the global and local search ability of the algorithm,and improve the convergence precision. Finally,the proposed algorithm is compared with six improved particle swarm optimization algorithms on twelve test functions.Simulation results show that the proposed algorithm is superior to the other six improved particle swarm optimization algorithms in terms of convergence rate and optimization precision.

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