A twist on SLP algorithms for NLP and MINLP problems: an application to gas transmission networks
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Abstract
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
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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.
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https://doi.org/10.1007/s11081-018-9407-4Sponsors
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