Items where Author is "Warwicker, John Alasdair"

Journal Article

Doerr, Benjamin and Oliveto, Pietro S. and Warwicker, John Alasdair (2026) Selection hyper-heuristics can automatically adjust the learning period to optimally solve pseudo-Boolean problems. Artificial Intelligence, 357: 104560. ISSN 0269-2821

Warwicker, John Alasdair and Rebennack, Steffen (2025) Efficient continuous piecewise linear regression for linearising univariate non-linear functions. IISE Transactions, 57 (3). pp. 231-245.

Warwicker, John Alasdair and Rebennack, Steffen (2024) Support vector machines within a bivariate mixed-integer linear programming framework. Expert Systems with Applications, 245: 122998. ISSN 0957-4174

Warwicker, John Alasdair and Rebennack, Steffen (2023) A unified framework for bivariate clustering and regression problems via mixed-integer linear programming. Discrete Applied Mathematics, 336. pp. 15-36. ISSN 0166-218X

Warwicker, John Alasdair and Rebennack, Steffen (2023) Generating optimal robust continuous piecewise linear regression with outliers through combinatorial Benders decomposition. IISE Transactions, 55 (8). pp. 755-767.

Lissovoi, Andrei and Oliveto, Pietro S. and Warwicker, John Alasdair (2023) When move acceptance selection hyper-heuristics outperform Metropolis and elitist evolutionary algorithms and when not. Artificial Intelligence, 314: 103804. ISSN 0269-2821

Warwicker, John Alasdair and Rebennack, Steffen (2022) A Comparison of Two Mixed-Integer Linear Programs for Piecewise Linear Function Fitting. INFORMS Journal on Computing, 34 (2). pp. 1042-1047. ISSN 1091-9856