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RECIFE-MILP: An Effective MILP-Based Heuristic for the Real-Time Railway Traffic Management Problem [PDF]
IEEE Transactions on Intelligent Transportation Systems, 2015 The real-time railway traffic management problem consists of selecting appropriate train routes and schedules for minimizing the propagation of delay in case of traffic perturbation. In this paper, we tackle this problem by introducing RECIFE-MILP, a heuristic algorithm based on a mixed-integer linear programming model.
Paola Pellegrini +2 more
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Conditional TMDTO as a MILP Instance
IEEE Transactions on Information Theory, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Satyam Kumar, Santanu Sarkar
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MPILS: An Automatic Tuner for MILP Solvers
Computers & Operations Research, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ilyas Himmich +5 more
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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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Fuzzy MILP Unit Commitment Incorporating Wind Generators
IEEE Transactions on Power Systems, 2008Day-ahead unit commitment (UC) solution methods seek to determine the status and output of all available generators. In a world with an increasing integration of renewable energy sources such as wind electric generators (WEG), the UC solution process must model and include WEGs too in the decision-making process.
Bala Venkatesh +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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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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2011
This paper surveys results on the NP-hard mixed-integer quadratically constrained programming problem. The focus is strong convex relaxations and valid inequalities, which can become the basis of efficient global techniques. In particular, we discuss relaxations and inequalities arising from the algebraic description of the problem as well as from ...
Samuel Burer, Anureet Saxena
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This paper surveys results on the NP-hard mixed-integer quadratically constrained programming problem. The focus is strong convex relaxations and valid inequalities, which can become the basis of efficient global techniques. In particular, we discuss relaxations and inequalities arising from the algebraic description of the problem as well as from ...
Samuel Burer, Anureet Saxena
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Comparative evaluation of MILP flowshop models
Journal of the Operational Research Society, 2005Summary: This paper investigates the performance of two families of mixed-integer linear programing (MILP) models for solving the regular permutation flowshop problem to minimize makespan. The three models of the Wagner family incorporate the assignment problem while the five members of the Manne family use pairs of dichotomous constraints, or their ...
Stafford, E. F. jun. +2 more
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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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