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Разработка инструмента оптимального планирования сети распределения с применением методов математического программирования и имитационного моделирования

Разработка инструмента оптимального планирования сети распределения с применением методов математического программирования и имитационного моделирования

Abstract

В данной работе описан прототип инструмента планирования сети распределения, реализующий итеративный подход на основе методов линейной оптимизации и имитационного моделирования. Программный комплекс разработан на основе пакета смешанного линейного целочисленного программирования с открытым кодом GLPK и системы имитационного моделирования Anylogic.

This paper describes a prototype distribution network planning tool based on an iterative approach using a combination of mixed-integer linear programming and simulation. The prototype is implemented using an open-source optimization package GLPK and Anylogic software.

Keywords

МАТЕМАТИЧЕСКОЕ ПРОГРАММИРОВАНИЕ, ИМИТАЦИОННОЕ МОДЕЛИРОВАНИЕ, ПЛАНИРОВАНИЕ СЕТИ РАСПРЕДЕЛЕНИЯ, СМЕШАННОЕ ЛИНЕЙНО-ЦЕЛОЧИСЛЕННОЕ ПРОГРАММИРОВАНИЕ, ТАКТИЧЕСКОЕ ПЛАНИРОВАНИЕ, ОПТИМИЗАЦИЯ СТРАХОВОГО ЗАПАСА

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average