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Optimal Ordering of Conflicting Objects and the Traveling Salesman Problem

Оптимальное упорядочение конфликтующих объектов и задача коммивояжера
Authors: Alexey Voevodin; Semen Kosyachenko;

Optimal Ordering of Conflicting Objects and the Traveling Salesman Problem

Abstract

The paper presents the setting of the problem of optimal ordering of conflicting objects related to the Travelling Salesman Problem (TSP). The problem of optimal ordering of conflicting objects appears in sociology, in graph analysis and finding in them optimal paths, in advertising in various media. Solution algorithms are described for this and related problems. The TSP with sparse matrix is also considered. For sparse practice cases of the TSP necessary and sufficient conditions are proved to objective function attained its minimum and the algorithms guaranteeing exact solution are constructed. The practical results of analytical and numerical investigations of algorithm complexity and solution accuracy are presented as well as recommendations for the algorithm applications to the solution of these problems.

Keywords

np-трудные задачи, жадный алгоритм, штрафная функция, оптимальное размещение, Electronic computers. Computer science, конфликты, сети сми, ленточные матрицы, задача коммивояжера, разреженные матрицы, QA75.5-76.95, tsp

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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
gold