Convexification techniques for signomial functions in mixed-integer nonlinear optimization

Aktiviteetti: Puhe tai esitysJulkinen esitelmä tai kusuttu puheenvuoro


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.
Aikajakso25 marrask. 2022
PidettyKTH Royal Institute of Technology, Sweden
Tunnustuksen arvoKansainvälinen