Results 41 to 50 of about 36,809 (204)
Optimization algorithms are tools used in the planning and operations of renewable energy-based distributed power systems. Mixed integer linear programming as a classical optimization method is considered in the literature for sizing nanogrid systems due
Gourab Das, M. De, K.K. Mandal
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We provide a comprehensive survey of Integer Programming Games (IPGs), focusing on both simultaneous games and bilevel programs. These games are characterized by integral constraints within the players’ strategy sets. We start from the fundamental definitions of these games and various solution concepts associated with them, and derive the properties ...
Carvalho, Margarida +3 more
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A Novel Reduced-Order Analytical Fault Diagnosis Model for Power Grid
Power grid fault diagnosis methods based on analytical models possess advantages such as logical rigor, strong interpretability, and high applicability.
Zhuonan Lin +3 more
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This research use development research wich aim to product mathematic learning that include implementation plans and woksheets based on pedagogical content knowledge in order to improve mathematical problem solving ability.
Ibut Priono Leksono +1 more
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Outlier-immune Data-driven Linear Power Flow Model Construction via Mixed-Integer Programming [PDF]
Guoan Yan, Zhengshuo Li
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[Objectives]In order to optimize the scheduling of the aviation support resources for carrier based aircrafts,[Methods]a mixed integer linear programming model for optimal scheduling of aviation support resources was established based on integer linear ...
Tan Dali +3 more
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In this paper, we studied a multiobjective linear fractional programming (MOLFP) problem with pentagonal and hexagonal fuzzy numbers, while the decision variables are binary integer numbers.
Adane Akate, Getaye Fentaw
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MIPCL LIBRARY FOR SOLVING MIXED INTEGER PROGRAMMING PROBLEMS
The Mixed Integer Programming Class Library (MIPCL) is a free software designed for implementing mixed integer programming models quickly, easily, and efficiently. Computational experiments show that currently MIPCL is one of the best noncommercial mixed-
N. N. Pisaruk
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Efficient election campaign optimization using integer programming
Purpose: Political parties spend significant amounts of resources during their election campaigns, which are usually designed in a sub-optimal and informal way.
Evren Güney
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We consider a capacity expansion problem for a railway network under uncertainty. In our approach, integer and stochastic programming provide a basic framework.
Takayuki SHIINA +4 more
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