Overview on mixed integer nonlinear programming

• Author(s): Fernandes, Florbela P. ; Costa, M. Fernanda P. ; Fernandes, Edite Manuela da G. P.
• Date: 2009
• Persistent ID: http://hdl.handle.net/1822/9676
• Origin: RepositóriUM - Universidade do Minho
• Subject(s): Mixed-integer nonlinear; Branch-and-bound; Outer-approximation
• Document Type: Conference Object
• Language: English

Description

Many optimization problems involve integer and continuous variables that can be modeled as mixed integer nonlinear programming (MINLP) problems. This has led to a wide range of applications, in particular in some engineering areas. Here, we provide a brief overview on MINLP, and present a simple idea for a future nonconvex MINLP solution technique.