On the acceleration of global optimization algorithms by coupling cutting plane decomposition algorithms with machine learning and advanced data analytics

Author:

Marousi Asimina,Kokossis Antonis

Funder

Imperial College London

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference53 articles.

1. A global optimization method, BB, for general twice-differentiable constrained NLPs-i. theoretical advances;Adjiman;Computers and Chemical Engineering,1998

2. αBB: A global optimization method for general constrained nonconvex problems;Androulakis;Journal of Global Optimization,1995

3. Semidefinite programming versus the reformulation-linearization technique for nonconvex quadratically constrained quadratic programming;Anstreicher;J. of Global Optimization,2009

4. Compression of chemical process data by functional approximation and feature extraction;Bakshi;AIChE Journal,1996

5. Baltean-Lugojan, R., Misener, R., Bonami, P., Tramontani, A., 2018. Selecting cutting planes for quadratic semidefinite outer-approximation via trained neural networks.

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