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Topology Optimization via L-Systems and Genetic Algorithms

Topology Optimization via L-Systems and Genetic Algorithms

Bioinspired Encoding for Generative Design
Brent R. Bielefeldt , Texas A & M University
Darren J. Hartl , Texas A & M University
Marcelo H. Kobayashi , University of Hawaii, Manoa
April 2025
Not yet published - available from April 2025
Hardback
9781316515792
AUD$219.05
exc GST
Hardback

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.

  • Provides a definitive, unified treatment of the various approaches to L-system topology optimization
  • Accessible to readers from various backgrounds, covering a range of examples
  • Defines topology optimization within the context of structural design and establishes the benefits and drawbacks that arise when using current approaches

Product details

April 2025
Hardback
9781316515792
306 pages
244 × 170 mm
Not yet published - available from April 2025

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.