Advanced Optimization by Nature-Inspired Algorithms

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 a...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Bozorg-Haddad, Omid (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Studies in Computational Intelligence, 720
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Advanced Optimization by Nature-Inspired Algorithms  |h [electronic resource] /  |c edited by Omid Bozorg-Haddad. 
250 |a 1st ed. 2018. 
264 1 |a Singapore :  |b Springer Singapore :  |b Imprint: Springer,  |c 2018. 
300 |a XV, 159 p. 34 illus., 4 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
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490 1 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 720 
505 0 |a 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). 
520 |a 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. 
650 0 |a Computational intelligence. 
650 0 |a Mathematical optimization. 
650 0 |a Artificial intelligence. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Mechanics. 
650 0 |a Mechanics, Applied. 
650 0 |a Optical data processing. 
650 1 4 |a Computational Intelligence.  |0 http://scigraph.springernature.com/things/product-market-codes/T11014 
650 2 4 |a Optimization.  |0 http://scigraph.springernature.com/things/product-market-codes/M26008 
650 2 4 |a Artificial Intelligence.  |0 http://scigraph.springernature.com/things/product-market-codes/I21000 
650 2 4 |a Operations Research/Decision Theory.  |0 http://scigraph.springernature.com/things/product-market-codes/521000 
650 2 4 |a Theoretical and Applied Mechanics.  |0 http://scigraph.springernature.com/things/product-market-codes/T15001 
650 2 4 |a Computer Imaging, Vision, Pattern Recognition and Graphics.  |0 http://scigraph.springernature.com/things/product-market-codes/I22005 
700 1 |a Bozorg-Haddad, Omid.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9789811052200 
776 0 8 |i Printed edition:  |z 9789811052224 
776 0 8 |i Printed edition:  |z 9789811353451 
830 0 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 720 
856 4 0 |u https://doi.org/10.1007/978-981-10-5221-7  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)