| Dulhare U. Machine Learning and Metaheuristics. Methods and Analysis 2023.pdf | 6.49 MB |
Textbook in PDF format
Provides rich set of chapters of machine learning and metaheuristic optimization
Emphasizes optimization algorithms such as PSO, ant colony optimization, cuckoo search algorithm, etc.
Includes real-world examples with attention to theoretical aspects for better understanding
This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm
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