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Item Details
Title: BIOLOGICAL COMPUTATION
By: Ehud Lamm, Ron Unger, Louis J. Gross
Format: Hardback

List price: £86.99
Our price: £78.29
Discount:
10% off
You save: £8.70
ISBN 10: 1420087959
ISBN 13: 9781420087956
Availability: Usually dispatched within 1-3 weeks.
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Publisher: TAYLOR & FRANCIS LTD
Pub. date: 24 May, 2011
Series: Chapman & Hall/CRC Mathematical & Computational Biology
Pages: 343
Description: Suitable for advanced undergraduates in computer science programs, this title covers major themes of bio-inspired computing, including cellular automata, molecular computation, genetic algorithms, and neural networks. It provides theoretical and coding exercises.
Synopsis: The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for solving difficult computational problems. A unified overview of computer science ideas inspired by biology, Biological Computation presents the most fundamental and significant concepts in this area. In the book, students discover that bacteria communicate, that DNA can be used for performing computations, how evolution solves optimization problems, that the way ants organize their nests can be applied to solve clustering problems, and what the human immune system can teach us about protecting computer networks. The authors discuss more biological examples such as these, along with the computational techniques developed from these scenarios. The text focuses on cellular automata, evolutionary computation, neural networks, and molecular computation. Each chapter explores the biological background, describes the computational techniques, gives examples of applications, discusses possible variants of the techniques, and includes exercises and solutions. The authors use the examples and exercises to illustrate key ideas and techniques.Clearly conveying the essence of the major computational approaches in the field, this book brings students to the point where they can either produce a working implementation of the techniques or effectively use one of the many available implementations. Moreover, the techniques discussed reflect fundamental principles that can be applied beyond bio-inspired computing. Supplementary material is available on Dr. Unger's website.
Illustrations: 50 black & white illustrations, 46 black & white tables
Publication: US
Imprint: Chapman & Hall/CRC
Returns: Returnable
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