Time series predictive analysis based on hybridization of meta-heuristic algorithms
This paper presents a comparative study which involved five hybrid meta-heuristic methods to predict the weather five days in advance. The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Di...
| Main Authors: | , , , , |
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| 格式: | 文件 |
| 语言: | English |
| 出版: |
International Journal on Advanced Science, Engineering and Information Technology
2018
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| 主题: | |
| 在线阅读: | http://eprints.uthm.edu.my/3354/1/AJ%202018%20%28685%29.pdf |