An Experimental Study of Some Control Parameters in Parallel Genetic Programming

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@Article{cao:2003:NPSC,

• author = "Hongqing Cao and Jingxian Yu and Lishan Kang and R I Bob McKay",
• title = "An Experimental Study of Some Control Parameters in Parallel Genetic Programming",
• journal = "Neural, Parallel and Scientific Computation",
• year = "2003",
• volume = "11",
• number = "4",
• pages = "377--393",
• keywords = "genetic algorithms, genetic programming, parallel genetic programming, parallel control parameters, evolutionary modelling, system of ordinary differential equations",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.80.6377.pdf",
• size = "17 pages",
• 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