An Experimental Study of Some Control Parameters in Parallel Genetic Programming
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- @Article{cao:2003:NPSC,
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author = "Hongqing Cao and Jingxian Yu and Lishan Kang and
R I Bob McKay",
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title = "An Experimental Study of Some Control Parameters in
Parallel Genetic Programming",
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journal = "Neural, Parallel and Scientific Computation",
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year = "2003",
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volume = "11",
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number = "4",
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pages = "377--393",
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keywords = "genetic algorithms, genetic programming, parallel
genetic programming, parallel control parameters,
evolutionary modelling, system of ordinary differential
equations",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.80.6377.pdf",
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size = "17 pages",
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abstract = "Using the evolutionary modeling of system of ordinary
differential equations (ODEs) as the test problem, this
paper primarily investigates the influences of some
important parallel control parameters within parallel
genetic programming (GP), including the degree of
connectivity between demes, the migration rate, the
migration generation interval, and the migration
policy, on the performance of the parallel evolutionary
modelling algorithm (PEMA), which is measured from two
perspectives: the solution quality and the parallel
speedup. We compare the results with previous
theoretical and experimental work in parallel genetic
algorithms (GAs), and try to give some plausible
analysis and explanations. The results may help to
offer some useful design guidelines for researchers
using parallel GP.",
- }
Genetic Programming entries for
Hong-Qing Cao
Jingxian Yu
Li-Shan Kang
R I (Bob) McKay
Citations