An Introduction to Genetic Algorithms

(Paperback)

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Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This introduction describes research in the field and also enables readers to implement and experiment with genetic algorithms on their own. The book focuses in depth on a small set of important topics - particularly in machine learning, scientific modelling and artificial life - and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modelling projects stretch beyond the strict boundaries of computer science to include dynamic systems theory, game theory, molecular biology, ecology, evolutionary biology and population genetics.

Reviews

An outstanding introduction to a new and important field of computer science.

This is a useful introduction to the subject and is well worth reading as an entry into evolutionary computing.

Author Bio

Melanie Mitchell, Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan, is a Fellow of the Michigan Society of Fellows. She is also Director of the Adaptive Computation Program at the Santa Fe Institute.