Introduction to Artificial Intelligence Algorithms and Advanced Operations Search - Theoretical Review and Application Programs

With the beginning of the 1990s, research began to move beyond its previous scope, starting with the simulation of less intelligent organisms with limited capabilities, such as ants, birds, and fish, which simultaneously exhibit highly intelligent social behavior. From these, scientists derived new algorithms in the field of artificial intelligence, such as those that mimic nature's workings from a Darwinian perspective, called evolutionary algorithms, and others that rely primarily on simulating flocks of birds and fish, and colonies of ants and bees, later termed swarm intelligence. This book, aimed at both students and researchers, provides a simplified explanation of the principles of these algorithms, along with proposed solutions to several mathematical problems and diverse applications suggested by the author based on his modest experience in this field. This book is essential for students and researchers in information technology applications across various fields, including computer science, engineering, economics, chemistry, physics, mathematics, industry, and others.