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Advanced Optimization by Nature-Inspired Algorithms de Omid Bozorg-Haddad

Advanced Optimization by Nature-Inspired Algorithms: Studies in Computational Intelligence, cartea 720

Editat de Omid Bozorg-Haddad
en Limba Engleză Paperback – 23 dec 2018
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.
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Specificații

ISBN-13: 9789811353451
ISBN-10: 981135345X
Pagini: 159
Ilustrații: XV, 159 p. 34 illus., 4 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:Softcover reprint of the original 1st ed. 2018
Editura: Springer Nature Singapore
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Singapore, Singapore

Cuprins

Introduction.- Cat Swarm Optimization (CSO) Algorithm.- League Championship Algorithm (LCA).- Anarchic Society Optimization (ASO) Algorithm.- Cuckoo Optimization Algorithm (COA).- Teaching-Learning-Based Optimization (TLBO) Algorithm.- Flower pollination Algorithm (FPA).- Krill Herd Algorithm (KHA).- Grey Wolf Optimization (GWO) Algorithm.- Shark Smell Optimization (SSO) Algorithm.- Ant Lion Optimizer (ALO) Algorithm.- Gradient Evolution (GE) Algorithm.- Moth-Flame Optimization (MFO) Algorithm.- Crow Search Algorithm (CSA).- Dragonfly Algorithm (DA).

Notă biografică

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.

Textul de pe ultima copertă

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.

Caracteristici

Collects a wide range of the most important algorithms which are useful in engineering Provides a step-by-step presentation of each algorithm with guidelines for coding algorithms Also provides a theoretical understanding as well as guidelines for practical implementation Describes all the algorithms with similar attention to detail, thus facilitating their reading and learning Relates the optimization algorithms to engineering optimization problems Facilitates rapid and effective learning Includes supplementary material: sn.pub/extras