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

Highlights•State-of-the-art review of sustainable design and synthesis of energy
systems.•Research challenges of the superstructure optimization approach.•Incorporating …

Combating the COVID-19 pandemic has raised the demand for and disposal of personal
protective equipment in the United States. This work proposes a novel waste personal …

The multiple myeloma (MM) genome is heterogeneous and evolves through preclinical and
post-diagnosis phases. Here we report a catalog and hierarchy of driver lesions using …

This paper describes the extensions that were added to the constraint integer programming
framework SCIP in order to enable it to solve convex and nonconvex mixed-integer …

We introduce the Suggest-and-Improve framework for general nonconvex quadratically
constrained quadratic programs (QCQPs). Using this framework, we generalize a number of …

Abstract “Primal heuristics” are a key contributor to the improved performance of exact
branch-and-bound solvers for combinatorial optimization and integer programming. Perhaps …

Current Mixed Integer Linear Programming (MILP)-based search against symmetric-key
primitives with 8-bit S-boxes can only build word-wise model to search for truncated …

Polyhedral relaxations have been incorporated in a variety of solvers for the global
optimization of mixed-integer nonlinear programs. Currently, these relaxations constitute the …

SCIP is a solver for a wide variety of mathematical optimization problems. It is written in C
and extendable due to its plug-in based design. However, dealing with all C specifics when …