Recent Metaheuristics Algorithms for Parameter Identification

Recent Metaheuristics Algorithms for Parameter Identification

Author
Erik CuevasJorge GálvezOmar Avalos
Publisher
Springer Nature
Language
English
Year
2019
Page
297
ISBN
9783030289171,9783030289164,3030289176
File Type
epub
File Size
13.8 MiB

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.

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