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A filled-filter function algorithm for solving  unconstrained nonlinear optimization

SHI Litang1  CHEN Wei1,*   

  1. 1. Department of Mathematics, Shanghai University, Shanghai 200444, China
  • Received:2015-11-02 Online:2017-03-15 Published:2017-03-15

Abstract:

In this article, we proposed a filled function with parameter free for solving  unconstrained nonlinear programming problems, and analysed its properties.  With the help of the introduced filter method,  we constructed a parameter free filled-filter function algorithm. Numerical experiments showed that the algorithm is effective.

Key words:  parameter free filled function, global optimization, filter method, unconstrained , nonlinear programming