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Genetic Algorithms in Search, Optimization and Machine Learning,Used
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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
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the page count of this book? A: The book contains four hundred twelve pages. This comprehensive page count provides in-depth coverage of genetic algorithms in various applications.
- Q: What are the dimensions of this book? A: The book measures seven point seventy-six inches in length, one inch in width, and nine point seventy-six inches in height. These dimensions make it a standard size for hardcover books.
- Q: What type of binding does this book have? A: This book is bound in hardcover. Hardcover binding ensures durability and longevity, making it suitable for frequent use.
- Q: Who is the author of this book? A: The author is David E. Goldberg. He is well-known for his contributions to the field of genetic algorithms and optimization.
- Q: What category does this book belong to? A: This book falls under the category of Intelligence & Semantics. It focuses on techniques in search, optimization, and machine learning.
- Q: What prior knowledge is required to read this book? A: No prior knowledge of genetic algorithms or genetics is assumed. The book is designed for both students and practitioners with minimal background in computer programming and mathematics.
- Q: What topics are covered in this book? A: The book covers computer techniques, mathematical tools, and research results related to genetic algorithms. It includes major concepts and illustrated algorithms.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It is written in an informal and tutorial style, making complex concepts accessible.
- Q: How can I apply the concepts from this book? A: You can apply the concepts by following the examples provided. The book illustrates major algorithms with running examples and Pascal computer programs.
- Q: Can this book be used in academic settings? A: Yes, this book is appropriate for academic settings. It serves as a resource for students studying genetic algorithms in various fields.
- Q: What is the recommended way to care for this book? A: To care for this book, keep it in a dry place and avoid exposure to direct sunlight. This helps preserve the binding and printed materials.
- Q: How should I store this book? A: Store this book upright on a shelf, away from high humidity. Proper storage maintains its physical condition and readability.
- Q: Is there a warranty for this book? A: No, this book does not come with a warranty. However, check the retailer's return policy for any issues upon purchase.
- Q: What if the book arrives damaged? A: If the book arrives damaged, contact the retailer immediately for a replacement or refund. Most retailers have a return process for damaged items.
- Q: Are there any supplementary materials included with the book? A: No, this book does not include any supplementary materials. It focuses solely on the written content and examples within its pages.
- Q: How does this book compare to others in the same category? A: This book stands out for its informal tutorial style and practical examples. It is designed to be accessible compared to more technical texts in the same category.