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

Combinatorial optimization is a well-established area in operations research and computer
science. Until recently, its methods have focused on solving problem instances in isolation …

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 provides a collection of software packages for mathematical
optimization, centered around the constraint integer programming (CIP) framework SCIP …

Abstract The Electric Vehicle Routing Problem with Time Windows, Piecewise-Linear
Recharging and Capacitated Recharging Stations aims to design minimum-cost routes for a …

State-of-the-art Mixed Integer Linear Programming (MILP) solvers combine systematic tree
search with a plethora of hard-coded heuristics, such as branching rules. While approaches …

We present PDLP, a practical first-order method for linear programming (LP) that can solve
to the high levels of accuracy that are expected in traditional LP applications. In addition, it …

Abstract The Multi-Agent Path Finding problem aims to find a set of collision-free paths that
minimizes the total cost of all paths. The problem is extensively studied in artificial …

Mixed-integer programming (MIP) technology offers a generic way of formulating and
solving combinatorial optimization problems. While generally reliable, state-of-the-art MIP …

Abstract Recent developments in (Global) Optimization are surveyed in this paper. We
collected and commented quite a large number of recent references which, in our opinion …