Results 11 to 20 of about 26,837 (219)
Mixed-Integer Linear Programming (MILP) Approach for the Synthesis of Efficient Power-to-Syngas Processes [PDF]
Frontiers in Energy Research, 2020 Within the context of energy transition scenarios toward renewable resources, superstructure optimization is implemented for the synthesis of sustainable and efficient Power-to-Syngas processes. A large number of reactors (reverse water-gas-shift, steam reforming, dry reforming, tri-reforming, methane partial oxidation reactor, and water electrolyzer ...
Andrea Maggi +3 more
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Mathematics, 2022 As decentralized energy supply units, microgrids can make a decisive contribution to achieving climate targets. In this context, it is particularly important to determine the optimal size of the energy components contained in the microgrids and their ...
Maximilian Roth +2 more
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IET Energy Systems Integration, 2023 Mixed integer linear programming (MILP)–based distributed energy management for networked microgrids embedded modern distribution systems is proposed.
Guodong Liu +2 more
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A MIXED INTEGER LINEAR PROGRAMMING (MILP) FRAMEWORK FOR INFERRING TIME DELAY IN GENE REGULATORY NETWORKS [PDF]
Biocomputing 2004, 2003 In this paper, an optimization based modeling and solution framework for inferring gene regulatory networks while accounting for time delay is described. The proposed framework uses the basic linear model of gene regulation. Boolean variables are used to capture the existence of discrete time delays between the various regulatory relationships ...
M S, Dasika, A, Gupta, C D, Maranas
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Mathematics, 2021 This paper considers the fast and effective solving method for the unit commitment (UC) problem with wind curtailment and pollutant emission in power systems.
Xiali Pang +3 more
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Surrogate “Level-Based” Lagrangian Relaxation for mixed-integer linear programming
Scientific Reports, 2022 Mixed-Integer Linear Programming (MILP) plays an important role across a range of scientific disciplines and within areas of strategic importance to society. The MILP problems, however, suffer from combinatorial complexity.
Mikhail A. Bragin, Emily L. Tucker
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G2MILP: Learning to Generate Mixed-Integer Linear Programming Instances for MILP Solvers
, 2023 <p>There have been significant efforts devoted to developing advanced mixed-integer linear programming (MILP) solvers, which are powerful tools for solving various real-world optimization problems. Despite the achievements, the limited availability of real-world instances often results in sub-optimal decisions and biased evaluations, which ...
Feng Wu +5 more
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Mathematics, 2022 Techniques and methods of linear optimization underwent a significant improvement in the 20th century which led to the development of reliable mixed integer linear programming (MILP) solvers. It would be useful if these solvers could handle mixed integer
Loay Alkhalifa, Hans Mittelmann
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Mixed Integer Linear Programming (MILP) Approach to Deal with Spatio-temporal Water Allocation
Procedia Engineering, 2016 AbstractWater of sufficient quantity and quality is indispensable for multiple purposes like domestic use, irrigated agriculture, hydropower generation and ecosystem functioning. However, in many regions of the world water availability is limited and even declining.
Veintimilla Reyes, Jaime Eduardo +3 more
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A Hybrid IP/GA Approach to the Parallel Production Lines Scheduling Problem
Discrete Dynamics in Nature and Society, 2016 A special parallel production lines scheduling problem is studied in this paper. Considering the time window and technical constraints, a mixed integer linear programming (MILP) model is formulated for the problem.
Huizhi Ren, Shenshen Sun
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