Refinement strategies for piecewise linear functions utilized by reformulation-based techniques for global optimization
Andreas Lundell and Tapio Westerlund∗, Center of Excellence in Optimization and Systems Engineering, Åbo Akademi University, Biskopsgatan 8, 20500 Åbo, Finland, ∗email@example.com@abo.fi
The signomial global optimization algorithm is a method for solving nonconvex mixed-integer signomial problems to global optimality. A convex underestimation is produced by replacing nonconvex signomial terms with convex underestimators obtained through single-variable power and exponential transformations in combination with linearization techniques. The piecewise linear functions used in the linearizations ...