Genetic Algorithms and Engineering Design

A genetic algorithm (GA) is a search and optimization method which works by mimicking the evolutionary principles and chromosomal processing in natural genetics. Genetic algorithm is a multi-path algorithm that searches many peaks in parallel, hence reducing the possibility of local minimum trapping and solve the multi-objective optimization problems. The last few years have seen important advances in the use of genetic algorithms applied to a wide variety of engineering problems, because of their simplicity, global perspective, and inherent parallel processing. This book explains the basic technique of the genetic algorithm and shows how design engineers can use a genetic algorithm to solve real design engineering problems. The book focuses on explaining how genetic algorithms work. This book is intended to demonstrate Genetic Algorithms to locate robust design areas and provided a thorough discussion on robustness and diversity in depth. 

Print ISBN: 9781682517147 | $160 | 2021 | Hardcover

Subject: Engineering and Technology

Editor: Florian Mayer