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

Gridin, Ivan,

Learning Genetic Algorithms with Python : empower the performance of machine learning and AI models with the capabilities of a powerful search algorithm / Ivan Gridin. - First edition. - 253 pages : illustrations ; 24 cm.

Includes index.

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.

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.

9788194837756


Genetic algorithms (Computer science)
Python (Computer program language).
Machine learning.
Artificial intelligence.

006.3 / G.I.N