|
| A shuffled frog leaping algorithm using niche technology |
| Received:September 30, 2011 Revised:March 13, 2012 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20126024 |
| KeyWord:shuffled frog leaping algorithm niche technology global optimization population elimination |
| Author | Institution |
| 姜建国 |
西安电子科技大学 计算机学院,西安 |
| 李锦 |
西安电子科技大学 计算机学院,西安 |
| 龙秀萍 |
西安电子科技大学 计算机学院,西安 |
| 申洁琳 |
西安电子科技大学 计算机学院,西安 |
| 田旻 |
西安电子科技大学 计算机学院,西安 |
|
| Hits: 2121 |
| Download times: 1425 |
| Abstract: |
| Shuffled frog leaping algorithm (SFLA) is a new heuristic global optimization algorithm.After studying the optimization mechanism of SFLA,this paper proposes a shuffled frog leaping algorithm using niche technology.The new algorithm applies the RCS niche technology to make each sub-population dynamically form search spaces independent of one another.In the update formula for the solution,an adaptive factor is designed to adjust the moving step.Furthermore,the population elimination mechanism is used in the algorithm,to randomly initialize the sub-population which falls into the local optimum.Experimental results show that the algorithm in this paper improves the optimization accuracy and convergence speed effectively. |
|
|
|