Till innehåll på sidan

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.

Tid: Fr 2022-11-25 kl 11.00 - 12.00

Plats: 3721

Videolänk: Zoom room 63658381373

Språk: English

Föreläsare: Andreas Lundell

Andreas Lundell

Senior University Lecturer

Department of Information Technology

Åbo Akademi University, Vaasa, Finland