| Autor: |
Ismael, Ahmed Nasser, Al-Asady, Majida Ali Abed, Al-Asadi, Hamid Ali Abed |
| Předmět: |
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| Zdroj: |
International Journal of Simulation: Systems, Science & Technology; 2020, Vol. 21 Issue 3, p1-15, 15p |
| Abstrakt: |
Nature is a very rich source of inspiration. Many algorithms have been inspired by nature. The source of inspiration for algorithm development are diverse and, as a result, the algorithms are equally very different. We present in this paper a critical review of current Nature-Inspired Optimization Algorithms (NIOAs) to include: Evolutionary Algorithms (EAs), Swarm Intelligence Algorithms (SIA), Physical and Chemistry Algorithms (PCA), Bio-Inspired Algorithms (BIA) and others. The aim is to explore the performance of the optimization process using a range of different analytical methods and motivate further research. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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