Modern Mechanical Optimization Design Methods

Author: Liang Shangming
Publisher:
Publish Date: 2005-07-01
Features: This book introduces the fundamental knowledge, optimization methods, and principles of modern mechanical optimization design. The book consists of 11 chapters. Chapters 1 to 7 primarily introduce the basic concepts and common optimization methods of mechanical optimization design, focusing on the gradient descent method, Newton's method, conjugate gradient method, Powell's method, complex method, feasible direction method, and penalty function method. Chapter 8 mainly elaborates on the principles and methods of mechanical fuzzy optimization design. Chapter 9 provides examples of mechanical fuzzy optimization design. Chapter 10 introduces genetic algorithms and genetic algorithm-based mechanical optimization design methods. Chapter 11 discusses the application of MATLAB software in optimization design. This book is suitable for reference or self-study by a broad range of science and technology workers and management personnel in the field of mechanical engineering. It can also serve as a textbook or reference book for senior undergraduate and graduate students in mechanical engineering. The main content of this book includes: the basic concepts and mathematical models of mechanical optimization design, the fundamental theories of optimization design, one-dimensional optimization methods, unconstrained multi-dimensional optimization methods, constrained optimization methods, etc.