Sequential metamodelling with genetic programming and particle swarms

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@InProceedings{Can:2010:WSC,

• author = "Birkan Can and Cathal Heavey",
• title = "Sequential metamodelling with genetic programming and particle swarms",
• booktitle = "Proceedings of the 2009 Winter Simulation Conference (WSC)",
• year = "2009",
• month = "13-16 " # dec,
• pages = "3150--3157",
• abstract = "This article presents an application of two main component methodologies of evolutionary algorithms in simulation-based metamodelling. We present an evolutionary framework for constructing analytical metamodels and apply it to simulations of manufacturing lines with buffer allocation problem. In this framework, a particle swarm algorithm is integrated to genetic programming to perform symbolic regression of the problem. The sampling data is sequentially generated by the particle swarm algorithm, while genetic programming evolves symbolic functions of the domain. The results are promising in terms of efficiency in design of experiments and accuracy in global metamodelling.",
• keywords = "genetic algorithms, genetic programming, PSO, buffer allocation, design of experiment, discrete event simulation, evolutionary algorithm, global metamodelling, manufacturing lines, particle swarm algorithm, sampling data, sequential metamodelling, simulation-based metamodelling, symbolic function, symbolic regression, design of experiments, discrete event simulation, manufacturing systems, particle swarm optimisation, regression analysis, sampling methods",
• DOI = "doi:10.1109/WSC.2009.5429276",
• notes = "Also known as \cite{5429276}",

}

Genetic Programming entries for Birkan Can Cathal Heavey

Citations