Genetic algorithm-based optimization of columella shape with FEM surrogate modeling: convergence analysis and application to ossicular chain reconstruction.
Saved in:
| 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 |
Be the first to leave a comment!