An Improved GAPSO Hybrid Programming Algorithm

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@InProceedings{Wu:2009:ICIECS,

• author = "Xiaojun Wu and Ying Wang and Tiantian Zhang",
• title = "An Improved GAPSO Hybrid Programming Algorithm",
• booktitle = "International Conference on Information Engineering and Computer Science, ICIECS 2009",
• year = "2009",
• month = dec,
• abstract = "GAPSO hybrid programming algorithm, which is a concise, effective and stable algorithm to solve the hierarchical problem based on GP algorithm. In terms of the specific characteristics of discrete magnitude and continuous magnitude, as well as the superiority of PSO in continuous quantity optimisation, in this paper we propose an improved algorithm, which optimises continuous magnitude by PSO while using GP for discrete magnitude optimization. Then through mass contrast experiments with GAPSO hybrid programming algorithm, we could see that Improved GAPSO hybrid programming algorithm is more stable and effective in function modelling.",
• keywords = "genetic algorithms, genetic programming, GP algorithm, continuous magnitude, continuous quantity optimisation, discrete magnitude, function modelling, hierarchical problem, improved GAPSO hybrid programming, mass contrast experiments, mathematical programming, particle swarm optimisation",
• DOI = "doi:10.1109/ICIECS.2009.5365983",
• notes = "Sch. of Autom., Northwestern Polytech. Univ., Xi'an, China. Also known as \cite{5365983}",

}

Genetic Programming entries for Xiaojun Wu Ying Wang Tiantian Zhang

Citations