Advanced optimization by nature-inspired algorithms / Omid Bozorg-Haddad, editor.
Bozorg-Haddad, Omid, 1974- editor.
2018
QA76.9.N37
Available Online

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Title Advanced optimization by nature-inspired algorithms / Omid Bozorg-Haddad, editor.
ISBN 9789811052217 (electronic book)
9811052212 (electronic book)
9789811052200
DOI https://doi.org/10.1007/978-981-10-5221-7
Published Singapore : Springer, [2018].
Language English
Description 1 online resource (xv, 159 pages) : illustrations.
Item Number 10.1007/978-981-10-5221-7 doi
Call Number QA76.9.N37
Dewey Decimal Classification 006.3/8
Summary 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.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed July 6, 2017).
Added Author Bozorg-Haddad, Omid, 1974- editor.
Series Studies in computational intelligence ; v. 720.
Available in Other Form Print version: 9789811052200
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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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