| Autor: |
Li, Bao Lei, Shi, Xin Ling, Gou, Chang Xing, Li, Tian Song, Liu, Ya Jie, Liu, Lan Juan, Zhang, Qin Hu |
| Zdroj: |
Applied Mechanics and Materials; December 2013, Vol. 483 Issue: 1 p453-457, 5p |
| Abstrakt: |
In this paper, a heuristic Multivariant Optimization Algorithm (MOA), which has the ability to locate multiple optima through alternating global-local search iterations by multivariant search groups including global exploration groups and local exploitation groups based on a structure where the optimizing process is saved, is described in detail. The performances of MOA are compared with that of other heuristic algorithms including GA and PSO based on six benchmark functions and the experiment results indicate that MOA outperforms GA and PSO in success rate and convergence efficiency on multimodal functions. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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