RT Journal Article
T1 A twist on SLP algorithms for NLP and MINLP problems: an application to gas transmission networks
A1 González Rueda, Ángel Manuel
A1 González Díaz, Julio
A1 Fernández de Córdoba, María de P.
K1 Gas transmission networks
K1 Optimization
K1 Sequential linear programming
K1 NLP problems
K1 MINLP problems
AB This paper presents a modification of classic SLP algorithms for the resolution of NLP and MINLP problems, and does it with a clear application in mind: optimization of gas transmission networks. The SLP-NTR and 2-step SLP algorithms we present have been developed within the collaboration with a company of the gas industry and thoroughly tested with real problems in this field. Here we present a comparison of their performance with that of classic SLP algorithms and state of the art solvers. Importantly, to provide some foundations for the potential applicability of these new algorithms to general NLP and MINLP problems, we present a theoretical analysis of their properties
PB Springer
SN 1573-2924
YR 2019
FD 2019-11-22
LK https://hdl.handle.net/10347/43556
UL https://hdl.handle.net/10347/43556
LA eng
NO Gonzalez Rueda, A. M., Gonzalez Diaz, J., & P. Fernández de Córdoba, M. (2019). A twist on SLP algorithms for NLP and MINLP problems: an application to gas transmission networks. Optimization and Engineering, 20(2), 349-395.
NO This project has been partially funded by Reganosa company under a contract with ITMATI. The authors also acknowledge support from Ministerio de Economía y Competitividad and FEDER through project MTM2014-60191-JIN and from Xunta de Galicia through project ED431C-2017/38. Ángel M. González-Rueda acknowledges support from Ministerio de Educación through Grant FPU13/01130
DS Minerva
RD 28 abr 2026