Journal of Jilin University Science Edition

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Improved TrustRegion DerivativeFree Algorithm forGeneral Constrained Optimization Problems

LU Xiaoning1, LIU Hongwei1, YANG Shanxue2, LIU Zexian1,3, LIU Mei1   

  1. 1. School of Mathematics and Statistics, Xidian University, Xi’an 710126, China; 2. School of Statistics, Xi’an University of Finance and Economics, Xi’an 710100, China;3. School of Mathematics and Computer Science, Hezhou University, Hezhou 542899, Guangxi Zhuang Autonomous Region, China
  • Received:2017-09-05 Online:2018-03-26 Published:2018-03-27
  • Contact: LIU Zexian E-mail:liuzexian2008@163.com

Abstract: We presented an improved trustregion derivativefree (TRDF) algorithm. In the proposed method, we established the constraint violation function, chose a better iteration point by using the progressive barrier (PB) strategy modified sub problem of the initial augmented Lagrangian multiplier, and proved the convergence of the improved algorithm. Numerical experiments for different dimensions of the test results show that the improved algorithm effectively reduces the number of iterations and the iteration time for solving polynomial interpolation model.

Key words: trust region method, polynomial interpolation model, constraint violation function, augment Lagrangian multiplier

CLC Number: 

  • O221.2