Introduction to Evolutionary Algorithms (Decision Engineering)
435 pages | Springer; 1st Edition. edition (June 25, 2010) | ISBN-10: 184996128X | PDF | 3.6 Mb
Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms. It covers such hot topics as: • genetic algorithms, • differential evolution, • swarm intelligence, and • artificial immune systems.