A Coevolutionary, Hyper Heuristic approach to the optimization of Three-dimensional Process Plant Layouts -A comparative study

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@InProceedings{Furuholmen:2010:cec,

• author = "Marcus Furuholmen and Kyrre Glette and Mats Hovin and Jim Torresen",
• title = "A Coevolutionary, Hyper Heuristic approach to the optimization of Three-dimensional Process Plant Layouts -A comparative study",
• booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
• year = "2010",
• address = "Barcelona, Spain",
• month = "18-23 " # jul,
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-1-4244-6910-9",
• abstract = "A Coevolutionary, Hyper Heuristic approach to the optimisation of Three-dimensional Process Plant Layouts (3DPPLs) is explored. By taking advantage of the natural problem decomposition, one population of layout heuristics, and another population of scheduling heuristics are coevolved. Generalised heuristics are evolved by training on multiple small problem instances, so that training time is reduced. The best generalized heuristic builds arbitrary sized 3DPPLs which reduce the cost by 18percent when compared to a handmade heuristic. Specialised heuristics are evolved by optimising each problem instance and outperforms the generalized heuristics after a fixed number of generations. Compared to a direct-encoded Genetic Algorithm, the benefit of specialized heuristics increases with the size of the problem, and costs are reduced by 30percent when compared to the handmade heuristic.",
• DOI = "doi:10.1109/CEC.2010.5586329",
• notes = "WCCI 2010. Also known as \cite{5586329}",

}

Genetic Programming entries for Marcus Furuholmen Kyrre Harald Glette Mats Erling Hovin Jim Torresen

Citations