Advanced Optimization by Nature-Inspired Algorithms: 720 (Studies in Computational Intelligence, 720) - Tapa dura

Libro 235 de 538: Studies in Computational Intelligence
 
9789811052200: Advanced Optimization by Nature-Inspired Algorithms: 720 (Studies in Computational Intelligence, 720)
Tapa dura
ISBN 10: 9811052204 ISBN 13: 9789811052200
Editorial: Springer, 2017

Sinopsis

This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Dr. Omid Bozorg-Haddad is a Professor at the department of irrigation and reclamation engineering, University of Tehran, Iran. His teaching and research interests include water resources and environmental systems analysis, planning, and management as well as application of optimization algorithms in water related systems. He has published more than 100 articles in peer reviewed journals and 100 papers in conference proceedings. He has also supervised more than 50 M.Sc. and Ph.D. students.

Prof. Hugo Loaiciga served as the Water Commissioner for the City of Santa Barbara for six years before joining the Department in 1988. He received the 2002 Service to the Profession Award from the American Society of Civil Engineers and the Environmental and Water Resources Institute for his "longstanding contributions to research and technical activities" of the two groups, and he was elected a Fellow of the American Society of Civil Engineers for his "outstanding contributions to the planning, analysis, and operation of water resources engineering" in 2007.

De la contraportada

This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2017
Idioma
Inglés
ISBN 10 
9811052204
ISBN 13 
9789811052200
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
176
Editor
Bozorg-Haddad Omid
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

Otras ediciones populares con el mismo título

9789811353451: Advanced Optimization by Nature-Inspired Algorithms: 720 (Studies in Computational Intelligence)

Edición Destacada

ISBN 10:  981135345X ISBN 13:  9789811353451
Editorial: Springer, 2018
Tapa blanda