The SCIP Optimization Suite provides a collection of software packages for mathematical
optimization centered around the constraint integer programming framework SCIP. This …

The scip Optimization Suite provides a collection of software packages for mathematical
optimization centered around the constraint integer programming framework scip. The focus …

The SCIP Optimization Suite is a powerful collection of optimization software that consists of
the branch-cut-and-price framework and mixed-integer programming solver SCIP, the linear …

With the increasing demands for large-scale computing in Internet of Things network, fog
computing emerges as a potential solution. However, the time and energy costs are the …

The evolution of information and communication technology, besides the proliferation of
mobile devices, pushes the horizon of the Internet of Things. The main challenges for mobile …

In this chapter, we provide an overview of the current state of the art with respect to solution
of mixed integer linear optimization problems (MILPs) in parallel. Sequential algorithms for …

We present a scalable branching method for the dual decomposition of stochastic mixed-
integer programming. Our new branching method is based on the branching method …

This paper focuses on a mobile edge‐computing‐enabled heterogeneous network. A
battery level‐aware task‐scheduling framework is proposed to improve the energy efficiency …

Mixed integer linear programming (MILP) is a general form to model combinatorial
optimization problems and has many industrial applications. The performance of MILP …

We present a distributed asynchronous algorithm for solving two-stage stochastic mixed-
integer programs (SMIP) using scenario decomposition, aimed at industrial-scale instances …