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...
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| Médium: | Elektronický zdroj E-kniha |
|---|---|
| Jazyk: | angličtina |
| Vydáno: |
Singapore :
Springer Singapore ,
2018.
|
| Vydání: | 1st ed. 2018. |
| Edice: | Studies in Computational Intelligence,
720 |
| Témata: | |
| ISBN: | 9789811052217 |
| ISSN: | 1860-949X ; |
| On-line přístup: |
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| Tagy: |
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| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 003 | SK-BrCVT | ||
| 005 | 20220618114914.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 170630s2018 si | s |||| 0|eng d | ||
| 020 | |a 9789811052217 | ||
| 024 | 7 | |a 10.1007/978-981-10-5221-7 |2 doi | |
| 035 | |a CVTIDW06493 | ||
| 040 | |a Springer-Nature |b eng |c CVTISR |e AACR2 | ||
| 041 | |a eng | ||
| 245 | 1 | 0 | |a Advanced Optimization by Nature-Inspired Algorithms |h [electronic resource] / |c edited by Omid Bozorg-Haddad. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Singapore : |b Springer Singapore , |c 2018. | |
| 300 | |a XV, 159 p. 34 illus., 4 illus. in color. |b online resource. | ||
| 490 | 1 | |a Studies in Computational Intelligence, |x 1860-949X ; |v 720 | |
| 500 | |a Engineering | ||
| 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). | |
| 516 | |a text file PDF | ||
| 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. | |
| 856 | 4 | 0 | |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-981-10-5221-7 |y Vzdialený prístup pre registrovaných používateľov |
| 910 | |b ZE03773 | ||
| 919 | |a 978-981-10-5221-7 | ||
| 974 | |a andrea.lebedova |f Elektronické zdroje | ||
| 992 | |a SUD | ||
| 999 | |c 272261 |d 272261 | ||