A Coevolutionary, Hyper Heuristic approach to the optimization of Three-dimensional Process Plant Layouts -A comparative study
Created by W.Langdon from
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- @InProceedings{Furuholmen:2010:cec,
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author = "Marcus Furuholmen and Kyrre Glette and Mats Hovin and
Jim Torresen",
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title = "A Coevolutionary, Hyper Heuristic approach to the
optimization of Three-dimensional Process Plant Layouts
-A comparative study",
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booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
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year = "2010",
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address = "Barcelona, Spain",
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month = "18-23 " # jul,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-4244-6910-9",
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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.",
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DOI = "doi:10.1109/CEC.2010.5586329",
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notes = "WCCI 2010. Also known as \cite{5586329}",
- }
Genetic Programming entries for
Marcus Furuholmen
Kyrre Harald Glette
Mats Erling Hovin
Jim Torresen
Citations