Evolutionary Topology Optimization Using Quadtree Genetic Programming
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- @InProceedings{Nimura:2022:CEC,
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author = "Naruhiko Nimura and Akira Oyama",
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booktitle = "2022 IEEE Congress on Evolutionary Computation (CEC)",
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title = "Evolutionary Topology Optimization Using Quadtree
Genetic Programming",
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year = "2022",
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editor = "Carlos A. Coello Coello and Sanaz Mostaghim",
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address = "Padua, Italy",
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month = "18-23 " # jul,
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isbn13 = "978-1-6654-6708-7",
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abstract = "A new topology optimization method using genetic
programming is proposed. To simultaneously achieve the
generation of shapes with high degrees of freedom and
efficient optimization, the quadtree used in image
processing is employed to reduce the number of design
variables. Because the quadtree used in image
processing implicitly holds coordinate information, we
propose a new crossover and mutation method that
inherits this information. For validation of the
proposed approach, shape optimization and topology
optimization are demonstrated where target airfoils
including multi-element airfoils are reproduced. As a
result, it is confirmed that the proposed method works
for shape and topology optimisations with high
efficiency.",
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keywords = "genetic algorithms, genetic programming, Shape, Image
processing, Optimization methods, Evolutionary
computation, Topology, Optimization, quadtree, topology
optimisation",
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DOI = "doi:10.1109/CEC55065.2022.9870331",
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notes = "Also known as \cite{9870331}",
- }
Genetic Programming entries for
Naruhiko Nimura
Akira Oyama
Citations