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Accelerated MILP-Strategies for the Optimal

2003
In this paper a MILP-based opt imization algorithm for the optimaloperation planning of energy supply systems is presented. For this purpose, the maintasks of optimal operation planning are discussed and th e Priority-Based DynamicSearch Strategy (PBDSS) for the solution of the optimization problem is developed taking into account different ...
Peter Häcklander, Johannes F. Verstege
openaire   +2 more sources

MILP-Aided Cryptanalysis of the FUTURE Block Cipher

2023
FUTURE is a recently proposed, lightweight block cipher. It has an AES-like, SP-based, 10-round encryption function, where, unlike most other lightweight constructions, the diffusion layer is based on an MDS matrix. Despite its relative complexity, it has a remarkable hardware performance due to careful design decisions.
İlter, M.B., Selçuk, Ali Aydın
openaire   +3 more sources

MILP Formulation for Energy Mix Optimization

IEEE Transactions on Industrial Informatics, 2015
Energy mix (EM) is a term used to describe a share of different technologies used to meet the demand for electric power and energy. Development of EM is driven by many factors such as economic constraints, technical constraints, environmental requirements, and policy aspects.
Wojciech Lyzwa   +2 more
openaire   +2 more sources

Cooperation of LP solvers for solving MILPs

Proceedings Ninth IEEE International Conference on Tools with Artificial Intelligence, 2002
A standard approach to solving mixed integer linear programs is to perform a global branch and bound search through all possible combinations. Due to the hardness of the problem, this search must be closely controlled by a constraint solver which uses constraints to prune the search space in an a priori way.
openaire   +1 more source

MILP-Evo: Closed-Loop Fully Automatic Design of MILP Solvers

Machine learning methods have shown that data-driven policies can accelerate mixed-integer linear programming (MILP) solvers, but many such approaches remain difficult to inspect, adapt, and deploy because the learned policy is represented as an external predictor or other opaque model.
Nie, Jinbiao   +5 more
openaire   +1 more source

MILP Software

2011
We describe and survey the main component and the usage of Mixed-Integer Linear Programming Solvers.
J. T. Linderoth, LODI, ANDREA
openaire   +1 more source

A MILP-Based Approach for Hydrothermal Scheduling

2013
This paper presents new solution approaches capable of finding optimal solutions for the Hydrothermal Scheduling Problem (HSP) in power generation planning. The problem has been proven to be NP-hard and no exact methods have been able to tackle it, for problem sizes of practical relevance. We explore three approaches.
Dewan Fayzur Rahman   +2 more
openaire   +2 more sources

Fast MILP Modelings for Sboxes

2021 4th International Conference on Computer Science and Software Engineering (CSSE 2021), 2021
Hao Tan   +3 more
openaire   +2 more sources

A MILP-Model for the Optimization of Transports

AIP Conference Proceedings, 2010
This paper presents a work in developing a mathematical model for the optimization of transports. The decisions to be made are routing decisions, truck assignment and the determination of the pickup order for a set of loads and available trucks. The model presented takes these aspects into account simultaneously.
Kaj-Mikael Björk   +3 more
openaire   +1 more source

HEMS Operation via MILP

2018 Clemson University Power Systems Conference (PSC), 2018
Advanced technology in communication and control enables electric utility customers to provide assistance to the grid through demand side management (DSM) and home energy management systems (HEMSs). This capability may mitigate the variability from increased penetration of variable resources, such as wind and photovoltaics (PV) leading to grid ...
Maad AlOwaifeer   +2 more
openaire   +1 more source

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