Optimization Methods for Finite Element Analysis and Design describes recent developments in Finite Element Methods (FEM). It gives brief introduction of the applications of AI-based nature inspired metaheuristic algorithms and Machine Learning, at various stages of FEM. The book covers a range of state-of-the-art application areas including medical equipment, structural analysis, and machinery products. It explores the applications of optimization and machine learning (ML) techniques in mesh smoothing, quality improvement, Laplacian and Taubin smoothing. The book also discusses the optimization of cable nets and steel frames using nature inspired metaheuristic methods.
| ISBN-13: | 9781032932101 |
| ISBN-10: | 1032932104 |
| Publisher: | Taylor & Francis Group |
| Publication date: | 2025-07-16 |
| Edition description: | 1 |
| Pages: | 180 |
| Product dimensions: | Height: 10.23619952756 Inches, Length: 7.23620552756 Inches, Weight: 1.21915630886 pounds, Width: 0.63 Inches |
| Author: | Ishaan R. Kale, Sujin Bureerat, Ravipudi Venkata Rao |
| Language: | en |
| Binding: | Hardcover |
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