Many important optimization problems, such as manufacturing scheduling and power system unit commitment, are formulated as Mixed-Integer Linear Programming (MILP) problems. Such problems are generally ...

Research team develops mixed integer programming model for optimal multi-module satellite layout optimization design ...

There is a need for design strategies that can support rapid and widespread deployment of new energy systems and process technologies. In a previous work, we introduced process family design as an ...

Canakgoz, N.A. and Beasley, J.E. (2009) Mixed-integer Programming Approaches for Index Tracking and Enhanced Indexation. European Journal of Operational Research, 196, 384-399.

In summary, although mixed-integer second-order cone programming shows advantages in some aspects, it is not suitable for all types of optimization problems. In practical applications, it is necessary ...

DSP is an open-source and parallel package that implements decomposition methods for structured mixed-integer programming problems. These are structured optimization problems in the following form: ...

This repository provides a minimum working example to illustrate potential advantages of the Gauss-Newton-based decomposition approach presented in [1] for a numerical case study of Mixed-Integer ...