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170703 ||| eng |
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|a 9789811052217
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| 100 |
1 |
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|a Bozorg-Haddad, Omid
|e [editor]
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| 245 |
0 |
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|a Advanced Optimization by Nature-Inspired Algorithms
|h Elektronische Ressource
|c edited by Omid Bozorg-Haddad
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| 250 |
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|a 1st ed. 2018
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2018, 2018
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| 300 |
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|a XV, 159 p. 34 illus., 4 illus. in color
|b online resource
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| 505 |
0 |
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|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)
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| 653 |
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|a Mechanics, Applied
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| 653 |
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|a Image processing / Digital techniques
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| 653 |
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|a Operations research
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| 653 |
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|a Optimization
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| 653 |
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|a Computer vision
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| 653 |
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|a Computational intelligence
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Computer Imaging, Vision, Pattern Recognition and Graphics
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| 653 |
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|a Computational Intelligence
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| 653 |
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|a Engineering Mechanics
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Mathematical optimization
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| 653 |
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|a Operations Research and Decision Theory
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Studies in Computational Intelligence
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| 028 |
5 |
0 |
|a 10.1007/978-981-10-5221-7
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-10-5221-7?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 006.3
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| 520 |
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|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
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