Machine Learning and Metaheuristics: Methods and Analysis
Author | : Uma N. Dulhare |
Publisher | : Springer Nature |
Total Pages | : 304 |
Release | : 2023-12-03 |
ISBN-10 | : 9789819966455 |
ISBN-13 | : 9819966450 |
Rating | : 4/5 (55 Downloads) |
Download or read book Machine Learning and Metaheuristics: Methods and Analysis written by Uma N. Dulhare and published by Springer Nature. This book was released on 2023-12-03 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.