Michigan State University, East Lansing, MI
808 pp. All pages clean, bright and readable. Minor surface scratching to edges of spine, and small creases to top and bottom-right corners of front cover and top-left corner of back cover.
Evolutionary Computation is a research field dealing with computer algorithms gleaned from the model of organic evolution. These include subclasses with historically independent origins, such as genetic algorithms, evolutionary programming, evolution strategies, and derivatives of these such as genetic programming and classifier systems. The research contributions presented here in this volume cover the whole range of evolutionary computation and reflect the increasing cooperation and discussion between researchers from the different subclasses of the field.
The contributions are divided into the following sections: Theory, Selection, Representations, Comparisons, Algorithmic Techniques, Classifier Systems, Applications, and Neural Networks. The work presented in this volume will be important for those working in optimisation, machine learning, artificial intelligence, neural networks, cognitive science, artificial life, biological modeling, and related fields.