
Metaheuristic and Machine Learning Optimization Strategies for Complex Systems
IGI Global (Publisher)
Published on 17. July 2024
Book
Hardback
428 pages
979-8-3693-7842-7 (ISBN)
Description
In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory usage can be substantial. Developing and implementing novel heuristic algorithms is time-consuming, yet even minor improvements in solutions can significantly reduce computational costs. In such scenarios, the creation of heuristics and metaheuristic algorithms has proven advantageous. The convergence of machine learning and metaheuristic algorithms offers a promising approach to address these challenges. Metaheuristic and Machine Learning Optimization Strategies for Complex Systems covers all areas of comprehensive information about hyper-heuristic models, hybrid meta-heuristic models, nature-inspired computing models, and meta-heuristic models. The key contribution of this book is the construction of a hyper-heuristic approach for any general problem domain from a meta-heuristic algorithm. Covering topics such as cloud computing, internet of things, and performance evaluation, this book is an essential resource for researchers, postgraduate students, educators, data scientists, machine learning engineers, software developers and engineers, policy makers, and more.
More details
Language
English
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 286 mm
Width: 221 mm
Thickness: 27 mm
Weight
1330 gr
ISBN-13
979-8-3693-7842-7 (9798369378427)
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Schweitzer Classification
Other editions
Additional editions

Thanigaivelan R. | Suchithra M. | Kaliappan S.
Metaheuristic and Machine Learning Optimization Strategies for Complex Systems
Book
07/2024
Engineering Science Reference
€395.50
Shipment within 10-20 days