Advanced Optimization by Nature-Inspired Algorithms
Published on 11. July 2017
Book
Hardback
XV, 159 pages
978-981-10-5220-0 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2018
Language
English
Place of publication
Singapore
Singapore
Target group
Primary & secondary/elementary & high school
Illustrations
4 farbige Abbildungen, 30 s/w Abbildungen
XV, 159 p. 34 illus., 4 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 16 mm
Weight
436 gr
ISBN-13
978-981-10-5220-0 (9789811052200)
DOI
10.1007/978-981-10-5221-7
Schweitzer Classification
Other editions
Additional editions
Omid Bozorg-Haddad
Advanced Optimization by Nature-Inspired Algorithms
Book
12/2018
Springer
€96.29
Shipment within 15-20 days
Omid Bozorg-Haddad
Advanced Optimization by Nature-Inspired Algorithms
E-Book
06/2017
Springer
€96.29
Available for download
Person
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.
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.
Content
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).