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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Recent Metaheuristics Algorithms for Parameter Identification
• Author: Erik Cuevas, Jorge Gálvez, Omar Avalos
• Language: English
• Binding: Hardback
• Number of pages: 297
• EAN: 9783030289164
• ID: 24519497
• Publisher: Springer Nature Switzerland AG
• Weight: 635 g
• Dimensions: 235 × 155 × 22 mm
• Date of publishing: 20. September 2019

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