A Modified Particle Swarm Optimizer Algorithm

This paper presented a modified particle swarm optimizer algorithm (MPSO). The aggregation degree of the particle swarm was introduced. The particles' diversity was improved through periodically monitoring aggregation degree of the particle swarm. On the later development of the PSO algorithm,...

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Bibliographic Details
Published in2007 8th International Conference on Electronic Measurement and Instruments pp. 2-675 - 2-679
Main Author Yang Guangyou
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.08.2007
Subjects
Aggregation Degree
Benchmark testing
Equations
Genetic mutations
Instruments
Mechanical engineering
Mechanical variables measurement
Monitoring
Mutation
Optimization
Particle measurements
Particle Swarm
Particle swarm optimization
Velocity measurement
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ISBN1424411351
9781424411351
DOI10.1109/ICEMI.2007.4350772

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Summary:This paper presented a modified particle swarm optimizer algorithm (MPSO). The aggregation degree of the particle swarm was introduced. The particles' diversity was improved through periodically monitoring aggregation degree of the particle swarm. On the later development of the PSO algorithm, it has been taken strategy of the Gaussian mutation to the best particle's position, which enhanced the particles' capacity to jump out of local minima. Several typical benchmark functions with different dimensions have been used for testing. The simulation results show that the proposed method improves the convergence precision and speed of PSO algorithm effectively.
ISBN:1424411351
9781424411351
DOI:10.1109/ICEMI.2007.4350772