Journal of Shanghai University(Natural Science Edition)

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New Sequential Quadratic Programming Filtering Method with
Nonlinear Complementary Problem Function

CAI Li,TIAN Wei-wen,XU Fang-qin   

  1. College of Sciences, Shanghai University, Shanghai 200444, China
  • Received:2007-06-12 Revised:1900-01-01 Online:2008-08-27 Published:2008-08-27
  • Contact: TIAN Wei-wen

Abstract: This paper introduces a new algorithm for constructing sequential quadratic programming(SQP) filter. The proposed method makes entering the filter easier, and reduces the possibility of using feasibility restoration phase. Since the number of points in the filter may be too large, a strategy for dealing with the problem is presented. Experimental results show the effectiveness of the algorithm.

Key words: nonlinear complementary problem(NCP), filter, sequential quadratic programming(SQP)

CLC Number: