This book introduces genetic algorithms (GAs) from a practical standpoint, emphasizing real-world applications in engineering and computer science. It includes numerous examples and case studies to illustrate how GAs can be implemented for solving optimization problems. The second edition expands on fundamental concepts and offers enhanced algorithm strategies, including coding, selection, cros…