Evolutionary Topology Optimization Using Quadtree Genetic Programming

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@InProceedings{Nimura:2022:CEC,

• author = "Naruhiko Nimura and Akira Oyama",
• booktitle = "2022 IEEE Congress on Evolutionary Computation (CEC)",
• title = "Evolutionary Topology Optimization Using Quadtree Genetic Programming",
• year = "2022",
• editor = "Carlos A. Coello Coello and Sanaz Mostaghim",
• address = "Padua, Italy",
• month = "18-23 " # jul,
• isbn13 = "978-1-6654-6708-7",
• 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.",
• keywords = "genetic algorithms, genetic programming, Shape, Image processing, Optimization methods, Evolutionary computation, Topology, Optimization, quadtree, topology optimisation",
• DOI = "doi:10.1109/CEC55065.2022.9870331",
• notes = "Also known as \cite{9870331}",

}

Genetic Programming entries for Naruhiko Nimura Akira Oyama

Citations