Solving global optimization problems using reformulations and signomial transformations

•A framework for convexifying MINLP problems containing signomial functions and twice-differentiable functions is presented.•Lifting transformation schemes based on power, exponential and αBB-type reformulations is used.•The transformations used in the framework are obtained by solving an optimizati...

Full description

Saved in:

Bibliographic Details
Published in:	Computers & chemical engineering Vol. 116; pp. 122 - 134
Main Authors:	Lundell, A., Westerlund, T.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 04.08.2018
Subjects:	Difference of convex functions Exponential transformations Global optimization Nonconvex MINLP Power transformations Reformulation techniques Signomial functions Twice-differentiable nonconvex functions α reformulation αBB convex underestimator Global optimization Twice-differentiable nonconvex functions Reformulation techniques Signomial functions α reformulation Power transformations Difference of convex functions Exponential transformations αBB convex underestimator Nonconvex MINLP
ISSN:	0098-1354, 1873-4375
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!