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Convexification techniques for signomial functions in mixed-integer nonlinear optimization

The topic of this presentation is how to utilize so-called lifting exponential and power transformations in combination with linearization techniques to solve nonconvex mixed integer nonlinear optimization (also called mixed-integer nonlinear programming – MINLP) problems containing signomial functions. Signomial functions are sums of terms, where each term is a product of power functions. This function class is quite general and contain common nonconvexities in optimization problems such as bilinear and trilinear terms.

Time: Fri 2022-11-25 11.00 - 12.00

Location: 3721

Video link: Zoom room 63658381373

Language: English

Lecturer: Andreas Lundell

Andreas Lundell

Senior University Lecturer

Department of Information Technology

Åbo Akademi University, Vaasa, Finland