Evolutionary Optimization Algorithms: Biologically Inspired and Population-Based Approaches to Computer Intelligence
Dan Simon, Cleveland State University
John Wiley & Sons, Inc., 2013
ISBN: 978-0-470-93741-9;
Language: English
Written for graduate students and professionals, Evolutionary Optimization Algorithms presents a comprehensive approach to the basic principles of evolutionary algorithms. The book provides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling. Topics include numerical methods and algorithms, optimization, biogeography, artificial intelligence, and dynamic system modeling.
MATLAB is used to solve numerous examples in the book.
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