Topology Optimization via L-Systems and Genetic Algorithms

Bioinspired Encoding for Generative Design

Brent R. Bielefeldt, Darren J. Hartl, Marcelo H. Kobayashi

• Publisher: Cambridge University Press
• Year: 2025
• eBook ISBN: 9781009028165
• Topic: Mathematics
• Subtopic: Optimization
• Index: Mathematics

Providing a succinct overview of Lindenmayer system (L-system) topology optimization, this book focuses on the methods and theory underlying this novel bioinspired approach. Starting from basic principles, the book outlines how topology optimization can be utilized at the conceptual design stage and shows how it offers straightforward applicability to multi-objective and/or multi-physical industrial problems. Design strategies are clearly demonstrated using a host of case studies and real-world examples, and their potential challenges and solutions are discussed. Written from an optimization and design perspective, the authors both summarize the latest advances in this field and suggest potential avenues of research and development for future work. This will be the ideal resource for engineering practitioners, researchers, and students wanting to gain a new perspective on using topology optimization to improve product design.

Table of contents

• Cover
• Half-title
• Title page
• Imprints page
• Contents
• 1 Introduction
• 2 Review of Topology Optimization Methods
• 3 Introduction to L-systems and Turtle Graphics Interpretation
• 4 Spatial Interpretation for the Development of ReconfigurableStructures (SPIDRS)
• 5 Arrangement L-system Interpretation
• 6 Multiphysical Applications
• Appendix A Vector Spaces
• Appendix B Classical Methods in Optimization
• Appendix C Classical Simplex-Based Approach to Ground Structure Optimization
• Appendix D Increasing Structural/Networking Feasibility in Turtle-Constructed Graphs
• Appendix E Conversion of Graphs to Volumetric Bodies forThree-Dimensional Analysis and Additive Manufacturing
• References
• Index