The block diagram method for designing the particle swarm optimization algorithm

In this paper, the block diagram method of the dispersed control system is proposed for designing or improving the normal particle swarm optimization algorithms (PSO), that is, it uses the Jury-test of the control theory to compare the block diagrams getting from existing particle swarm optimization...

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Bibliographic Details
Published in:Journal of global optimization Vol. 52; no. 4; pp. 689 - 710
Main Authors: Baiquan, Lu, Gaiqin, Gao, Zeyu, Lu
Format: Journal Article
Language:English
Published: Boston Springer US 01.04.2012
Springer Nature B.V
Subjects:
Accuracy
Birds
Computer Science
Control theory
Food
Mathematics
Mathematics and Statistics
Methods
Operations Research/Decision Theory
Optimization
Optimization algorithms
Real Functions
Simulation
Studies
Velocity
Global optimization
Block diagram method
Local optimization
Particle Swarm
ISSN:0925-5001, 1573-2916
Online Access:Get full text
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Summary:In this paper, the block diagram method of the dispersed control system is proposed for designing or improving the normal particle swarm optimization algorithms (PSO), that is, it uses the Jury-test of the control theory to compare the block diagrams getting from existing particle swarm optimization methods and finds out some defects of the existing particle swarm optimization methods, for example, the premature convergence of PSO algorithm, and so on. Thus a new particle swarm algorithm is also proposed for improving these defects, that is, the speed iteration and position iteration formulas of PSO are revised for both adjusting its convergence speed and jumping out of the local minimum points. To show effectiveness of the proposed method, the simulations of 13 benchmark examples are carried out, as a result, it indicates that the proposed method is very useful.
Bibliography:SourceType-Scholarly Journals-1
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ISSN:0925-5001
1573-2916
DOI:10.1007/s10898-011-9699-9