Global optimization on non-convex two-way interaction truncated linear multivariate adaptive regression splines using mixed integer quadratic programming

Xinglong Ju,Jay M. Rosenberger,Victoria C. P. Chen,Feng Liu

Information Sciences（2022）

引用 15|浏览9

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摘要

•A novel method, TITL-MARS-OPT, for global optimization on non-convex two-way interaction truncated linear multivariate adaptive regression splines is proposed.•The results show the superiority of TITL-MARS-OPT over the genetic algorithm and the gradient descent method on TITL-MARS models.•The Python code is made open-source on GitHub to help other researchers.

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关键词

Genetic algorithm,Global optimization,Mixed integer quadratic programming,Multivariate adaptive regression splines,Gradient descent algorithm

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