A dwindling filter trust region algorithm for nonlinear optimization

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摘要

In this paper, we develop dwindling filter idea and trust region strategy for solving nonlinear optimization. Compared with traditional filter trust region algorithm, the new filter algorithm has more flexibility for the acceptance of the trial step and the feasibility restoration phase is not needed. Under mild conditions, the global convergence of the new algorithm is analyzed. Preliminary numerical results are reported.

论文关键词:Nonlinear optimization,Trust region,Dwindling filter,Feasibility restoration phase,Convergence

论文评审过程:Available online 16 May 2014.

论文官网地址:https://doi.org/10.1016/j.amc.2014.04.101