Principles of Optimal Design: Modeling and Computation Panos Y. Papalambros and Douglas J. Wilde

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Design optimization is a standard concept in engineering design, and in other disciplines which utilize mathematical decision-making methods. This textbook focuses on the close relationship between a design problem's mathematical model and the solution-driven methods which optimize it. Along with extensive material on modeling problems, this book also features useful techniques for checking whether a model is suitable for computational treatment. Throughout, key concepts are discussed in the context of why and when a particular algorithm may be successful, and a large number of examples demonstrate the theory or method right after it is presented. This book also contains step-by-step instructions for executing a design optimization project - from building the problem statement to interpreting the computer results. All chapters contain exercises from which instructors can easily build quizzes, and a chapter on 'principles and practice' offers the reader tips and guidance based on the authors' vast research and instruction experience.
Includes extensive material on modeling design problems and unique techniques for checking whether the model is suitable for computational treatment before a numerical solution is attempted using a step-by-step approach
Contains a large number of simple examples that demonstrate theory or methods right after they are presented
Provides detailed instructions on how to execute a design optimization project from problem statement to interpretation of computer results