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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...
Müşterek Yazar: | |
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Diğer Yazarlar: | |
Materyal Türü: | e-Kitap |
Dil: | İngilizce |
Baskı/Yayın Bilgisi: |
Singapore :
Springer Nature Singapore :
2018.
Imprint: Springer, |
Edisyon: | 1st ed. 2018. |
Seri Bilgileri: | Studies in Computational Intelligence,
720 |
Konular: | |
Online Erişim: | Full-text access |
İçindekiler:
- 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).