0
Your cart

Your cart is empty

Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

Not currently available

An Introduction to Genetic Algorithms (Hardcover) Loot Price: R1,735
Discovery Miles 17 350
An Introduction to Genetic Algorithms (Hardcover): Melanie Mitchell

An Introduction to Genetic Algorithms (Hardcover)

Melanie Mitchell

Series: Complex Adaptive Systems

 (sign in to rate)
Loot Price R1,735 Discovery Miles 17 350 | Repayment Terms: R159 pm x 12*

Bookmark and Share

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

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 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 dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines. "An Introduction to Genetic Algorithms" is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercies that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programmes, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection, ecosystems; and evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.

General

Imprint: MIT Press
Country of origin: United States
Series: Complex Adaptive Systems
Release date: April 1996
Authors: Melanie Mitchell
Dimensions: 260 x 185 x 20mm (L x W x T)
Format: Hardcover
Pages: 217
ISBN-13: 978-0-262-13316-6
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > Applications of computing > Computer modelling & simulation
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Computer software packages > Computer graphics software > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN: 0-262-13316-4
Barcode: 9780262133166

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners