Mechanical Optimization Design Genetic Algorithm

Author: Chen Lunjun
Publisher:
Publish Date: 2005-03-01
Features: Genetic algorithms for mechanical optimization design are a new computational method that arises from the integration of natural evolution theory and computer science, as well as the intersection of life science and mechanical engineering. This book introduces the basic principles and mathematical knowledge of genetic algorithms. By applying the concepts and methods of genetic algorithms to solve mechanical optimization design problems, it can avoid the local optima phenomenon often encountered in traditional optimization methods, thereby achieving a global optimal solution. To facilitate practical applications, the book provides examples of genetic algorithms for mechanical optimization design for reference. This book is suitable for mechanical engineering technicians, senior undergraduate and graduate students in mechanical engineering.
Genetic algorithms for mechanical optimization design are a new computational method that arises from the integration of natural evolution theory and computer science, as well as the intersection of life science and mechanical engineering. This book introduces the basic principles and mathematical knowledge of genetic algorithms. By applying the concepts and methods of genetic algorithms to solve mechanical optimization design problems, it can avoid the local optima phenomenon often encountered in traditional optimization methods, thereby achieving a global optimal solution. To facilitate practical applications, the book provides examples of genetic algorithms for mechanical optimization design for reference. This book is suitable for mechanical engineering technicians, senior undergraduate and graduate students in mechanical engineering.