Evolutionary Optimization Algorithms: Biologocally –Inspired and Population–Bas…

Evolutionary Optimization AlgorithmsAuthor(s): Dan Simon\nFormat: Hardback\nPublisher: John Wiley & Sons Inc, United States\nImprint: John Wiley & Sons Inc\nISBN-13: 9780470937419, 978-0470937419\nSynopsis\nA clear and lucid bottom-up approach to the basic principles of evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies. This book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms include genetic algorithms, genetic programming, ant colony optimization, particle swarm optimization, differential evolution, biogeography-based optimization, and many others. Evolutionary Optimization Algorithms:\nProvides a straightforward, bottom-up approach that assists the reader in obtaining a clear?but theoretically rig.