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

•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 Pytho...

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Veröffentlicht in:	Information sciences Jg. 597; S. 38 - 52
Hauptverfasser:	Ju, Xinglong, Rosenberger, Jay M., Chen, Victoria C.P., Liu, Feng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.06.2022
Schlagworte:	Genetic algorithm Global optimization Gradient descent algorithm Mixed integer quadratic programming Multivariate adaptive regression splines Mixed integer quadratic programming Global optimization Genetic algorithm Multivariate adaptive regression splines Gradient descent algorithm
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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