Results 21 to 30 of about 2,786 (188)
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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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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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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A mixed-integer linear programming approach for robust state estimation
Journal of Modern Power Systems and Clean Energy, 2014 In this paper, a mixed integer linear programming (MILP) formulation for robust state estimation (RSE) is proposed. By using the exactly linearized measurement equations instead of the original nonlinear ones, the existing mixed integer nonlinear ...
Yanbo Chen, Jin Ma
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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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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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DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee
, 2023 Mixed-integer linear programming (MILP) stands as a notable NP-hard problem pivotal to numerous crucial industrial applications. The development of effective algorithms, the tuning of solvers, and the training of machine learning models for MILP resolution all hinge on access to extensive, diverse, and representative data.
Wang, Haoyu +5 more
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Online Power-Aware Deployment and Load Distribution Optimization for Application Server Clusters
IEEE Access, 2019 The energy conservation of application server clusters is a pressing problem. In this paper, we propose an online power-aware deployment and load distribution optimization strategy for application server clusters, whose objective is to minimize the ...
Zhi Xiong +3 more
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Transport, 2015 Finding an exact optimal solution of the Nonlinear Discrete Transportation Problem (NDTP) represents a challenging task in transportation science. Development of an adequate model formulation and selection of an appropriate optimization method are thus ...
Uroš Klanšek
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