Journal of Northeastern University(Natural Science)

Journal of Northeastern University ›› 2011, Vol. 32 ›› Issue (10): 1378-1381.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Aerological detection with outbreeding elitist genetic algorithm

Li, Jian-Bao (1); Zhang, Tie (1)   

  1. (1) School of Sciences, Northeastern University, Shenyang 110819, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Li, J.-B.
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Abstract: According to the characteristics of the large number and complex and unpredicted trend on change of the aerological detection data, the outbreeding elitist genetic algorithm (OEGA) was presented by analyzing the behaviors of outbreeding elitist and adding the evolution of slave population. The B-spline was calculated with OEGA to fit the aerological detection data curve. Compared with the result of the B-spline fitting with the simple genetic algorithm, the outbreeding elitist genetic algorithm has stronger searching ability and higher converging efficiency.

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