Advanced Optimization by Nature-Inspired Algorithms

Author:   Omid Bozorg-Haddad
Publisher:   Springer Verlag, Singapore
Edition:   Softcover reprint of the original 1st ed. 2018
Volume:   720
ISBN:  

9789811353451


Pages:   159
Publication Date:   23 December 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Advanced Optimization by Nature-Inspired Algorithms


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Overview

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.

Full Product Details

Author:   Omid Bozorg-Haddad
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   Softcover reprint of the original 1st ed. 2018
Volume:   720
Weight:   0.454kg
ISBN:  

9789811353451


ISBN 10:   981135345
Pages:   159
Publication Date:   23 December 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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).

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Author Information

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.

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