Advanced Optimization by Nature-Inspired Algorithms

Omid bozorg-haddad (editor)

159 pages, parution le 10/07/2017

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Résumé

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.

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.
1st Edition 2018 editionIllustrationsTA331Engineering mathematics.|Mathematical optimization.|Mathematics in nature.1SingaporeSingapore9789811052217|9789811052224edited by Omid Bozorg-Haddad.Studies in Computational Intelligence720

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Omid bozorg-haddad (editor)
Parution	10/07/2017
Nb. de pages	159
Format	155 x 235
Poids	432g
EAN13	9789811052200

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Advanced Optimization by Nature-Inspired Algorithms

Résumé

Caractéristiques techniques

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