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Analysis and Comparison of Metaheuristics

Analysis and Comparison of Metaheuristics

Erik Cuevas / Jorge Gálvez / Omar Avalos

48,10 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2022
Materia
Inteligencia artificial
ISBN:
9783031201066
48,10 €
IVA incluido
Disponible

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This book presents a comparative perspective of current metaheuristic developments, which have proved to be effective in their application to several complex problems. The study of biological and social entities such as animals, humans, or insects that manifest a cooperative behavior has produced several computational models in metaheuristic methods. Although these schemes emulate very different processes or systems, the rules used to model individual behavior are very similar. Under such conditions, it is not clear to identify which are the advantages or disadvantages of each metaheuristic technique. The book is compiled from a teaching perspective. For this reason, the book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. It is appropriate for courses such as Artificial Intelligence, Electrical Engineering, Evolutionary Computation. The book is also useful for researchers from the evolutionary and engineering communities. Likewise, engineer practitioners, who are not familiar with metaheuristic computation concepts, will appreciate that the techniques discussed are beyond simple theoretical tools since they have been adapted to solve significant problems that commonly arise in engineering areas.

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Otros libros del autor

  • Analysis and Comparison of Metaheuristics
    Erik Cuevas / Jorge Gálvez / Omar Avalos
    This book presents a comparative perspective of current metaheuristic developments, which have proved to be effective in their application to several complex problems. The study of biological and social entities such as animals, humans, or insects that manifest a cooperative behavior has produced several computational models in metaheuristic methods. Although these schemes emul...
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  • Recent Metaheuristics Algorithms for Parameter Identification
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    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 metaheuri...