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Genetic Algorithms - In Search Optimization And Machine Learning | By David E. Goldberg | Pearson Publication ( English Medium )
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| 465-689 |
[Shipping Cost = Standard Mode, Expedite Mode]
Genetic Algorithms - In Search Optimization And Machine Learning | By David E. Goldberg | Pearson Publication ( English Medium ).
Genetic Algorithms in Search, Optimization, and Machine Learning" is a foundational textbook that introduces the powerful concept of genetic algorithms (GAs) — a biologically inspired approach to solving complex problems. Written by David E. Goldberg, a leading expert in the field, this book blends theory with practical applications, offering deep insights into how GAs work and how they can be applied across domains like artificial intelligence, engineering design, operations research, and machine learning.
It covers essential concepts like selection, crossover, mutation, and population dynamics, and shows how these principles can lead to intelligent problem-solving systems. With a strong emphasis on both search strategies and optimization techniques, Goldberg’s work remains a go-to resource for researchers, engineers, and students in computer science and related fields.
⭐ Key Features:
Comprehensive Introduction to Genetic Algorithms
Detailed Explanation of Selection, Crossover, and Mutation
Insightful Real-World Examples and Case Studies
Application of GAs in Machine Learning and Optimization
Strong Mathematical Foundation and Algorithmic Clarity
Concept of Schema Theorem and Building Blocks
Focus on Parallelism and Computational Efficiency
Problem-Solving with Constraint Handling Techniques
Classic Studies on Deception and Premature Convergence
Accessible to Both Beginners and Advanced Researchers
Coverage of Niching, Fitness Sharing, and Elitism
Discussion on Adaptive and Hybrid Genetic Algorithms
Implementation-Oriented Explanations
Ideal for Self-Study and Academic Courses
Based on Research and Practical Experience in the Field
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Product Details
| SKU / BOOK Code: | Prsn-Gentc-Algrthm-(E) |
| Publisher: | Pearson Publication |
| Author: | David E. Goldberg |
| Binding Type: | Paperback |
| No. of Pages: | 432 |
| ISBN-10: | 8131709930 |
| ISBN-13: | 978-8131709931 |
| Edition: | Revised Edition |
| Language: | English Medium |
| Publish Year: | 2025-04 |
| Weight (g): | 2000 |
| Product Condition: | New |
| Reading Age: | Above 10 Years |
| Country of Origin: | India |
| Genre: | Engineering Books |
| Manufacturer: | Pearson Publication |
| Importer: | Pearson Publication |
| Packer: | Fullfilled by Supplier |
Product Description
Genetic Algorithms - In Search Optimization And Machine Learning | By David E. Goldberg | Pearson Publication ( English Medium ).
Genetic Algorithms in Search, Optimization, and Machine Learning" is a foundational textbook that introduces the powerful concept of genetic algorithms (GAs) — a biologically inspired approach to solving complex problems. Written by David E. Goldberg, a leading expert in the field, this book blends theory with practical applications, offering deep insights into how GAs work and how they can be applied across domains like artificial intelligence, engineering design, operations research, and machine learning.
It covers essential concepts like selection, crossover, mutation, and population dynamics, and shows how these principles can lead to intelligent problem-solving systems. With a strong emphasis on both search strategies and optimization techniques, Goldberg’s work remains a go-to resource for researchers, engineers, and students in computer science and related fields.
⭐ Key Features:
Comprehensive Introduction to Genetic Algorithms
Detailed Explanation of Selection, Crossover, and Mutation
Insightful Real-World Examples and Case Studies
Application of GAs in Machine Learning and Optimization
Strong Mathematical Foundation and Algorithmic Clarity
Concept of Schema Theorem and Building Blocks
Focus on Parallelism and Computational Efficiency
Problem-Solving with Constraint Handling Techniques
Classic Studies on Deception and Premature Convergence
Accessible to Both Beginners and Advanced Researchers
Coverage of Niching, Fitness Sharing, and Elitism
Discussion on Adaptive and Hybrid Genetic Algorithms
Implementation-Oriented Explanations
Ideal for Self-Study and Academic Courses
Based on Research and Practical Experience in the Field
Search Key - Genetic algorithms David Goldberg, , Goldberg genetic algorithm book, , Genetic algorithm optimization techniques, , Machine learning using genetic algorithms, , Evolutionary algorithms Goldberg, , Genetic algorithm crossover mutation, , Search optimization algorithms, , David E Goldberg genetic algorithms, , Schema theorem genetic algorithm, , Elitism in genetic algorithms, , Genetic algorithms in AI, , Fitness function genetic algorithm, , Parallel genetic algorithms, , Real-world applications of GAs, , Goldberg book machine learning, , Learning with evolutionary computation, , Introduction to genetic algorithms, , GA algorithm in engineering, , Goldberg GA textbook, , Constraint handling genetic algorithm, , Genetic algorithm examples and cases, , Building blocks hypothesis GA, , Hybrid algorithms optimization, , Population-based search techniques, , Best books on genetic algorithms, , Classic genetic algorithm theory, , Machine learning books Goldberg, , Intelligent search strategies, , Genetic algorithm coding strategies, , Optimization in AI using GAs Genetic Algorithms - In Search Optimization And Machine Learning | By David E. Goldberg | Pearson Publication ( English Medium ), Publisher : Pearson Education India, Language : English, Paperback : 432 pages, ISBN-10 : 8131709930, ISBN-13 : 978-8131709931, Genetic Algorithms, In Search Optimization And Machine Learning, Bioengineering, Mathematics, Computers & Internet, Computer Science Book, Engineering, Engineering, Engineering Book, Higher Studies, College Book, University Book, Higher Education.
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Selling Price & Shipping Fee: In Product details page we have clearly mentioned the Selling Price & Shipping Fees separately, So, when you click on "BUY NOW" You will be charges Selling Price + Shipping Fees. The Shipping fees may different for each products depends on the weight of the Product. The shipping cost includes the courier charges, packaging charges, transport charges, fuel charges and other charges. Sometimes the total payable amount may be different for Instamojo Payment Gateway. Buyers are requested to check before purchasing the products. After making the purchase we may not allow or consider users to modify.
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