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MILP Formulation for Energy Mix Optimization
IEEE Transactions on Industrial Informatics, 2015Energy 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
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A MILP-Based Approach for Hydrothermal Scheduling
2013This 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
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2011
We describe and survey the main component and the usage of Mixed-Integer Linear Programming Solvers.
J. T. Linderoth, LODI, ANDREA
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We describe and survey the main component and the usage of Mixed-Integer Linear Programming Solvers.
J. T. Linderoth, LODI, ANDREA
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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
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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
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Cooperation of LP solvers for solving MILPs
Proceedings Ninth IEEE International Conference on Tools with Artificial Intelligence, 2002A 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.
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Fast MILP Modelings for Sboxes
2021 4th International Conference on Computer Science and Software Engineering (CSSE 2021), 2021Hao Tan +3 more
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Linear programming in MILP solving
2023Die gemischt-ganzzahlige Programmierung (MILP) ist ein wichtiges Teilgebiet im Bereich der mathematischen Optimierung und kommt bei der Modellierung und Lösung einer Vielzahl von verschiedenen Anwendungsproblemen mit oft weitreichenden wirtschaftlichen Folgen zum Einsatz.
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Scheduling satellite launch missions: an MILP approach
Journal of Scheduling, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2021
This chapter mentions several optimization problems which go beyond linear and mixed integer linear optimization. The focus is rather on motivation. Therefore, it is not intended to cover these topics in complete depth, but the reader should at least be aware that modeling real-world problems is not restricted to linear models.
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This chapter mentions several optimization problems which go beyond linear and mixed integer linear optimization. The focus is rather on motivation. Therefore, it is not intended to cover these topics in complete depth, but the reader should at least be aware that modeling real-world problems is not restricted to linear models.
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Localization of Sources of Brain Activity: A MILP Approach
IEEE Transactions on Magnetics, 2010The purpose of this work is to propose and test a mixed integer linear programming formulation for the problem of brain source localization. Such technique allows the localization of the minimum number of currents that are able to reconstruct evoked potentials recorded at the scalp.
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