A Population-Based Optimization Method Using Newton Fractal
We propose a deterministic population-based method for a global optimization, a Newton particle optimizer (NPO). The algorithm uses the Newton method with a guiding function and drives particles toward the current best positions. The particles’ movements are influenced by the fractal nature of the N...
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Main Authors: | Soyeong Jeong, Pilwon Kim |
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Format: | Article |
Language: | English |
Published: |
Wiley
2019-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2019/5379301 |
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