Title
Genetic Algorithms in Search, Optimization and Machine Learning,Used
Delivery time: 8-12 business days (International)
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. No prior knowledge of GAs or genetics is assumed, and only a minimum of computer programming and mathematics background is required. 0201157675B07092001
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We provide a 2-year limited warranty, from the date of purchase for all our products.
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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main focus of the book 'Genetic Algorithms in Search, Optimization and Machine Learning'? A: The book primarily focuses on the application of genetic algorithms (GAs) in various fields, providing readers with computer techniques, mathematical tools, and research results to solve optimization problems.
- Q: Who is the author of this book? A: The author of 'Genetic Algorithms in Search, Optimization and Machine Learning' is David E. Goldberg.
- Q: What level of prior knowledge is required to understand the content? A: No prior knowledge of genetic algorithms or genetics is assumed, making the book accessible to both beginners and those with minimal computer programming and mathematics background.
- Q: How many pages does this book contain? A: The book contains a total of 412 pages.
- Q: What type of binding does this book have? A: This book is bound in hardcover.
- Q: When was 'Genetic Algorithms in Search, Optimization and Machine Learning' published? A: The book was published on January 1, 1989.
- Q: Is there any programming language used in the examples provided in the book? A: Yes, the book illustrates major algorithms with running examples using the Pascal programming language.
- Q: What edition of the book is available? A: The available edition of the book is the first edition.
- Q: What condition is the book in? A: The book is in new condition.
- Q: Does the book provide practical applications or examples of genetic algorithms? A: Yes, major concepts and algorithms are illustrated with running examples, making it easier for readers to apply genetic algorithms to real-world problems.