Recent Metaheuristics Algorithms for Parameter Identification e-bog
875,33 DKK
(inkl. moms 1094,16 DKK)
This book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help researchers, lecturers, engineers, and practitioners solve their own optimization problems. It also bridges the gap between recent metaheuristic techniques and interesting identification system methods that benefit from the convenience of metaheuristic schemes by e...
E-bog
875,33 DKK
Forlag
Springer
Udgivet
3 september 2019
Genrer
Artificial intelligence
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9783030289171
This book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help researchers, lecturers, engineers, and practitioners solve their own optimization problems. It also bridges the gap between recent metaheuristic techniques and interesting identification system methods that benefit from the convenience of metaheuristic schemes by explaining basic ideas of the proposed applications in ways that can be understood by readers new to these fields. As such it is a valuable resource for energy practitioners who are not researchers in metaheuristics. In addition, it offers members of the metaheuristic community insights into how system identification and energy problems can be translated into optimization tasks.