Genetic algorithm-based optimization of columella shape with FEM surrogate modeling: convergence analysis and application to ossicular chain reconstruction.

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Bibliographic Details
Title: Genetic algorithm-based optimization of columella shape with FEM surrogate modeling: convergence analysis and application to ossicular chain reconstruction.
Authors: Asakura T; Department of Mechanical and Aerospace Engineering, Faculty of Science and Engineering, Tokyo University of Science, Chiba, Japan. t_asakura@rs.tus.ac.jp., Ozono K; Department of Mechanical and Aerospace Engineering, Faculty of Science and Engineering, Tokyo University of Science, Chiba, Japan., Ichino T; Department of Mechanical and Aerospace Engineering, Faculty of Science and Engineering, Tokyo University of Science, Chiba, Japan., Hirabayashi M; Department of Otorhinolaryngology, The Jikei University School of Medicine, Tokyo, Japan.; Division of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan., Kurihara S; Department of Otorhinolaryngology, The Jikei University School of Medicine, Tokyo, Japan.; Division of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan., Kurashina Y; Division of Advanced Mechanical Systems Engineering, Institute of Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Source: Biomechanics and modeling in mechanobiology [Biomech Model Mechanobiol] 2026 Mar 30; Vol. 25 (2). Date of Electronic Publication: 2026 Mar 30.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101135325 Publication Model: Electronic Cited Medium: Internet ISSN: 1617-7940 (Electronic) Linking ISSN: 16177940 NLM ISO Abbreviation: Biomech Model Mechanobiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1617-7940
DOI:10.1007/s10237-026-02044-y