Solving Parametric Design Problems: Requiring Configuration Choices (Classic Reprint)

Unlock practical methods for solving complex design problems with a clear, integrated approach.

The book presents a framework that combines graph representations, knowledge-based systems, and optimization techniques to help designers decompose, simplify, and solve parametric design problems. It uses a concrete automotive design example to show how to organize data, handle discrete and continuous decisions, and implement interactive workflows that streamline computation and analysis.

• Learn how to decompose large problems into manageable parts using graph-based problem simplification.


• See how knowledge-based systems can guide discrete choices and support later nonlinear programming.


• Understand the role of nonlinear programming and mixed integer programming in real-world design tasks.


• Explore practical implementation details, from modeling languages to solver workflows and interactive tooling.

Ideal for engineers and designers who want a practical, tool-leaning guide to parametric design and optimization.

Solving Parametric Design Problems: Requiring Configuration Choices can help readers of engineering design, systems optimization, and software-assisted problem solving apply these methods to real-world challenges.