An efficient Tabu-search optimized regression for data-driven modeling

This publication has 14 references indexed in Scilit:

• Optimized tabu search estimation of wear characteristics and cutting forces in compact core drilling of basalt rock using PCD tool inserts
  Computers & Industrial Engineering, 2019
• Handling expensive multi-objective optimization problems with a cluster-based neighborhood regression model
  Applied Soft Computing, 2019
• Narrow big data in a stream: Computational limitations and regression
  Information Sciences, 2019
• A hybrid point-particle force model that combines physical and data-driven approaches
  Journal of Computational Physics, 2019
• Approximate multiple kernel learning with least-angle regression
  Neurocomputing, 2019
• Bi-sparse optimization-based least squares regression
  Applied Soft Computing, 2019
• Data-driven non-linear elasticity: constitutive manifold construction and problem discretization
  Computational Mechanics, 2017
• A Manifold Learning Approach to Data-Driven Computational Elasticity and Inelasticity
  Archives of Computational Methods in Engineering, 2016
• A variable selection method based on Tabu search for logistic regression models
  European Journal of Operational Research, 2009
• Future paths for integer programming and links to artificial intelligence
  Computers & Operations Research, 1986