Learning Genetic Algorithms with Python : empower the performance of machine learning and AI models with the capabilities of a powerful search algorithm / Ivan Gridin.

By:

Gridin, Ivan [author.]

Material type: Text

TextPublisher: New Delhi : BPB Publications, 2021Edition: First editionDescription: 253 pages : illustrations ; 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9788194837756

Subject(s):

DDC classification:

23 006.3 G.I.N

Contents:

1. Introduction -- 2. Genetic Algorithm Flow -- 3. Selection -- 4. Crossover -- 5. Mutation -- 6. Effectiveness -- 7. Parameter Tuning -- 8. Black-box Function -- 9. Combinatorial Optimization: Binary Gene Encoding -- 10. Combinatorial Optimization: Ordered Gene Encoding -- 11. Other Common Problems -- 12. Adaptive Genetic Algorithm -- 13. Improving Performance.

Summary: A complete practical guide to implementing genetic algorithms in Python for optimization in machine learning and AI. Covers core principles such as selection, crossover, mutation, parameter tuning, and real-world applications with hands-on examples.

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Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode	Item holds
Books	Media and mass communication Library B4	006.3 G.I.L	C.1	Available		MA0002419

Total holds: 0

Includes index.

A complete practical guide to implementing genetic algorithms in Python for optimization in machine learning and AI. Covers core principles such as selection, crossover, mutation, parameter tuning, and real-world applications with hands-on examples.

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