Genetic algorithms in search, optimization, and machine learning

By: Goldberg, David EMaterial type: TextTextPublication details: New Delhi : Dorling Kindersley, 1989Description: xiii, 412 pages : illustrationsISBN: 9788177588293Subject(s): Genetic algorithms | Machine learning | Combinatorial optimizationDDC classification: 006.31
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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REF 006.31 GOL (Browse shelf(Opens below)) Available 015573
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Includes index

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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