DOMINO: Data-driven Optimization of bi-level Mixed-Integer NOnlinear Problems.

ABSTRACT: The Data-driven Optimization of bi-level Mixed-Integer NOnlinear problems (DOMINO) framework is presented for addressing the optimization of bi-level mixed-integer nonlinear programming problems. In this framework, bi-level optimization problems are approximated as single-level optimization problems by collecting samples of the upper-level objective and solving the lower-level problem to global optimality at those sampling points. This process is done through the integration of the DOMINO framework with a grey-box optimization solver to perform design of experiments on the upper-level objective, and to consecutively approximate and optimize bi-level mixed-integer nonlinear programming problems that are challenging to solve using exact methods. The performance of DOMINO is assessed through

SUBMITTER: Beykal B 

PROVIDER: S-EPMC7402589 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature