This book is specially focused on the latest developments and findings on hybrid algorithms and benchmarks in optimization and their applications in sciences, engineering, and industries. The book also provides some comprehensive reviews and surveys on implementations and coding aspects of benchmarks. The book is useful for Ph.D. students and researchers with a wide experience in the subject areas and also good reference for practitioners from academia and industrial applications.
| ISBN: | 9789819939725 |
| Publication date: | 23rd August 2024 |
| Author: | XinShe Yang |
| Publisher: | Springer an imprint of Springer Nature Singapore |
| Format: | Paperback |
| Pagination: | 246 pages |
| Series: | Springer Tracts in Nature-Inspired Computing |
| Genres: |
Artificial intelligence Optimization |
This book is specially focused on the latest developments and findings on hybrid algorithms and benchmarks in optimization and their applications in sciences, engineering, and industries. The book also provides some comprehensive reviews and surveys on implementations and coding aspects of benchmarks.
Benchmarks and Hybrid Algorithms in Optimization and Applications features in the following genres: Artificial intelligence, Optimization
Paperback, Hardback. £134.99, down from the £149.99 cover price. Not Available.
Benchmarks and Hybrid Algorithms in Optimization and Applications was written by XinShe Yang and published by Springer an imprint of Springer Nature Singapore
Benchmarks and Hybrid Algorithms in Optimization and Applications has 246 pages
Yes it is part of Springer Tracts in Nature-Inspired Computing series
£134.99, reduced from £149.99. Not Available.