Artificial Intelligence Optimization Algorithms

This book covers taboo research, artificial heat treatment, genetics, ant colony, artificial immunity, differential development, particle swarm optimization and artificial bee colony algorithms, which are called artificial intelligence optimization algorithms.
• Taboo search algorithm mimics human's intelligent problem-solving abilities.
• Artificial heat treatment algorithm is based on the event that occurs during the heat treatment of materials.
• Genetic algorithm has been developed by taking natural selection and genetic processes as an example.
• The ant colony algorithm is based on modeling real ant colony behaviors.
• Some features of the natural immune system were taken into account in the development of the artificial immunity algorithm.
• The differential improvement algorithm is based on the difference of solution vectors and was developed especially for numerical optimization problems.
• The particle swarm algorithm is based on the intelligent behavior of bird flocks in foraging.
• The artificial bee colony algorithm models the intelligent behavior of honey bee colonies in searching for rich nectar food sources.
The book first introduces the basic concepts of optimization, and then gives the basic principles of these eight optimization algorithms and presents applications from different fields of engineering related to each of them.