The SCIP optimization suite 8.0
K Bestuzheva, M Besançon, WK Chen… - arxiv preprint arxiv …, 2021 - arxiv.org
The SCIP Optimization Suite provides a collection of software packages for mathematical
optimization centered around the constraint integer programming framework SCIP. This …
optimization centered around the constraint integer programming framework SCIP. This …
Energy and environmental sustainability of waste personal protective equipment (PPE) treatment under COVID-19
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 …
protective equipment in the United States. This work proposes a novel waste personal …
Sustainable design and synthesis of energy systems
Highlights•State-of-the-art review of sustainable design and synthesis of energy
systems.•Research challenges of the superstructure optimization approach.•Incorporating …
systems.•Research challenges of the superstructure optimization approach.•Incorporating …
Genomic landscape and chronological reconstruction of driver events in multiple myeloma
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 …
post-diagnosis phases. Here we report a catalog and hierarchy of driver lesions using …
SCIP: Global optimization of mixed-integer nonlinear programs in a branch-and-cut framework
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 …
framework SCIP in order to enable it to solve convex and nonconvex mixed-integer …
General heuristics for nonconvex quadratically constrained quadratic programming
We introduce the Suggest-and-Improve framework for general nonconvex quadratically
constrained quadratic programs (QCQPs). Using this framework, we generalize a number of …
constrained quadratic programs (QCQPs). Using this framework, we generalize a number of …
[PDF][PDF] Learning to Run Heuristics in Tree Search.
Abstract “Primal heuristics” are a key contributor to the improved performance of exact
branch-and-bound solvers for combinatorial optimization and integer programming. Perhaps …
branch-and-bound solvers for combinatorial optimization and integer programming. Perhaps …
MILP modeling for (large) s-boxes to optimize probability of differential characteristics
Abstract 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 …
key primitives with 8-bit S-boxes can only build word-wise model to search for truncated …
A hybrid LP/NLP paradigm for global optimization relaxations
Polyhedral relaxations have been incorporated in a variety of solvers for the global
optimization of mixed-integer nonlinear programs. Currently, these relaxations constitute the …
optimization of mixed-integer nonlinear programs. Currently, these relaxations constitute the …
Model predictive control strategy applied to different types of building for space heating
G Gholamibozanjani, J Tarragona… - … Energy Storage with …, 2021 - taylorfrancis.com
About 36% of global energy used worldwide is attributed to buildings [1], which also
contribute to about 17% of total direct energy-related CO2 emissions to the environment [2] …
contribute to about 17% of total direct energy-related CO2 emissions to the environment [2] …