Solving Parametric Design Problems: Requiring Configuration Choices

by Rajan Ramaswamy

Solving Parametric Design Problems offers a practical framework for tackling complex design challenges. This book presents a novel approach that blends multiple, currently separate tools into an integrated system. It grounds ideas in an automobile design example to show how performance targets can drive the design process. The text explores graph-based problem simplification, knowledge-based decision making for discrete choices, and nonlinear optimization for continuous variables. It also discusses mixed-integer nonlinear programming and practical implementation notes to help engineers apply these methods in real projects.

How to decompose large, multi-target design problems into manageable parts. Ways to combine graph representations, constraint networks, and optimization routines. Techniques for selecting and tuning models, bounds, and starting points to improve convergence. Insights into integrating discrete decisions with continuous optimization in design work. Ideal for readers who want a concrete roadmap for solving parametric design problems in industry.

36 pages, Paperback

First published August 5, 2015