Rapid advances in evolutionary computing have opened up a world of applications - a world rapidly growing and evolving. Evolutionary Computation provides the basic principles of the subject: genetic algorithms, evolution strategies, evolutionary programming, genetic programming, learning classifier systems, population models, and applications. It includes detailed coverage of binary and real encoding, and optimization applications. The focus then shifts to applications: decision strategy selection, training and design of neural networks, several approaches to pattern recognition, cellular automata, applications of genetic programming, and more.
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