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Introduction to Genetic Algorithms

by Melanie Mitchell The MIT Press
Pub Date:
04/1998
ISBN:
9780262631853
Format:
Pbk 221 pages
Price:
AU$84.00 NZ$86.09
Product Status: Available in Approx 14 days
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Instructors
& Academics:
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 brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics--particularly in machine learning, scientific modeling, and artificial life--and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics.

Solutions Manual available.
'An outstanding introduction to a new and important field of computer science.' Tim Watson , The Computer Journal A Bradford Book 'This is a useful introduction to the subject and is well worth reading as an entry into evolutionary computing.' Chris Robbins , Computing A Bradford Book 'This is the best general book on Genetic Algorithms written to date. It covers background, history, and motivation; it selects important, informative examples of applications and discusses the use of Genetic Algorithms in scientific models; and it gives a good account of the status of the theory of Genetic Algorithms. Best of all the book presents its material in clear, straightforward, felicitous prose, accessible to anyone with a college-level scientific background. If you want a broad, solid understanding of Genetic Algorithms and mdash;where they came from, what's being done with them, and where they are going and mdash;this is the book. John H. Holland, Professor, Computer Science and Engineering,and Professor of Psychology, The University of Michigan;External Professor, the Santa Fe Institute. A Bradford Book