This book explores various optimization techniques that can be used to address problems in the real world. These problems can be found in healthcare, engineering, manufacturing, and many other fields. In many real-world situations, from business to science, optimization techniques are similar to problem-solving tools. They help us make the best choices by considering limitations (constraints) and what we are trying to achieve (objectives). These techniques sift through all the possibilities and find the most effective option. Optimization is similar to a toolbox filled with different problem-solving methods, such as linear programming or genetic algorithms. These tools help us make better decisions about allocating resources across many different fields. They do this by finding the most efficient and effective solutions, considering all the limitations and goals involved.
| ISBN: | 9789819632152 |
| Publication date: | 20th May 2025 |
| Author: | Nilanjan Dey |
| Publisher: | Springer an imprint of Springer Nature Singapore |
| Format: | Hardback |
| Pagination: | 283 pages |
| Series: | Springer Tracts in Nature-Inspired Computing |
| Genres: |
Artificial intelligence Machine learning Optimization |
This book explores various optimization techniques that can be used to address problems in the real world. These problems can be found in healthcare, engineering, manufacturing, and many other fields.
Optimizing Solutions for Real-Life Problems features in the following genres: Artificial intelligence, Machine learning, Optimization
Hardback. £161.99, down from the £179.99 cover price. Not Available.
Optimizing Solutions for Real-Life Problems was written by Nilanjan Dey and published by Springer an imprint of Springer Nature Singapore
Optimizing Solutions for Real-Life Problems has 283 pages
Yes it is part of Springer Tracts in Nature-Inspired Computing series
£161.99, reduced from £179.99. Not Available.