Particle Swarm Optimization Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Wu:2010:CASoN,
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author = "Xiaojun Wu and Ming Zhao and Yaohong Qu",
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title = "Particle Swarm Optimization Programming",
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booktitle = "2010 International Conference on Computational Aspects
of Social Networks (CASoN)",
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year = "2010",
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month = sep,
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pages = "397--400",
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abstract = "PSO is a parallel stochastic optimisation algorithm
with advantages of less parameters and high efficiency.
This paper describes the programming problem in the
method of two linear tables with discrete and
continuous quantity, then uses discrete PSO algorithm
to discrete optimisation and continuous PSO to optimise
continuous quantity in the solving process
respectively, based on these proposes the Particle
Swarm Optimisation Programming algorithm. Finally, GP
and PSOP algorithms are compared by applying them to
solving programming problem respectively with three
typical test functions, the results show that the PSOP
algorithm has better convergence precision and
stability than the GP algorithm.",
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keywords = "genetic algorithms, genetic programming, continuous
PSO, convergence precision, discrete PSO algorithm,
discrete optimization, parallel stochastic optimization
algorithm, particle swarm optimization programming,
particle swarm optimisation, stochastic programming",
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DOI = "doi:10.1109/CASoN.2010.96",
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notes = "sphere, Griewank, Rastrigin. Sch. of Autom.,
Northwestern Polytech. Univ., Xi'an, China Also known
as \cite{5636594}",
- }
Genetic Programming entries for
Xiaojun Wu
Ming Zhao
Yaohong Qu
Citations