Name: Analysis and Comparison of Metaheuristics (en Inglés)
Price: 841685.00 COP
Availability: InStock
Author: Cuevas, Erik ; Avalos, Omar ; Gálvez, Jorge
ISBN: 9783031201042

portada Analysis and Comparison of Metaheuristics (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

220

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.6 x 1.4 cm

Peso

0.51 kg.

ISBN13

9783031201042

Categorías

Ingeniería: general
Inteligencia artificial

Analysis and Comparison of Metaheuristics (en Inglés)

Erik Cuevas (Autor) · Jorge Gálvez (Autor) · Omar Avalos (Autor) · Springer · Tapa Dura

Libro Físico

$ 841.685

$ 1.294.900

Ahorras: $ 453.215

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Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Analysis and Comparison of Metaheuristics (en Inglés)"

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.