Genetic algorithms in search, optimization, and machine learning /

By: Goldberg, David EMaterial type: TextTextPublication details: Reading, Mass. : Addison-Wesley Pub. Co., c1989Edition: Indian printDescription: xiii, 412 p. : illISBN: 9780201157673; 9788178081304Subject(s): Genetic algorithms | Machine learning | Combinatorial optimizationDDC classification: 005.1
Contents:
1. A GENTLE INTRODUCTION TO GENETIC ALGORITHMS --- 2. GENETIC ALGORITHMS REVISITED: MATHEMATICAL FOUNDATIONS --- 3. COMPUTER IMPLEMENTATION OF A GENETIC ALGORITHM --- 4. SOME APPLICATIONS OF GENETIC ALGORITHMS --- 5. ADVANCED OPERATORS AND TECHNIQUES IN GENETIC SEARCH --- 6. INTRODUCTION TO GENETICS-BASED MACHINE LEARNING --- 7. APPLICATIONS OF GENETICS-BASED MACHINE LEARNING --- 8. A LOOK BACK, A GLANCE AHEAD.
Summary: This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields. Major concepts are illustrated with running examples, and major algorithms are illustrated by Pascal computer programs.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Lending Books Lending Books Main Library
Stacks 		Reference 005.1 GOL (Browse shelf(Opens below)) Available 009613
Reference Books Reference Books Main Library
Reference 		Reference 005.1 GOL (Browse shelf(Opens below)) Available 008282
Total holds: 0

Includes index.

Original ISBN 0201157675.

1. A GENTLE INTRODUCTION TO GENETIC ALGORITHMS ---
2. GENETIC ALGORITHMS REVISITED: MATHEMATICAL FOUNDATIONS ---
3. COMPUTER IMPLEMENTATION OF A GENETIC ALGORITHM ---
4. SOME APPLICATIONS OF GENETIC ALGORITHMS ---
5. ADVANCED OPERATORS AND TECHNIQUES IN GENETIC SEARCH ---
6. INTRODUCTION TO GENETICS-BASED MACHINE LEARNING ---
7. APPLICATIONS OF GENETICS-BASED MACHINE LEARNING ---
8. A LOOK BACK, A GLANCE AHEAD.

This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields. Major concepts are illustrated with running examples, and major algorithms are illustrated by Pascal computer programs.

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