Recurrent Neural Networks with the Soft 'Winner Takes All' Principle Applied to the Traveling Salesman Problem

Siqueira, Paulo Henrique; Steiner, María Teresinha Arns; Scheer, Sérgio

doi:10.5772/13069

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…There is a lot of material describing the issue of combinatory such as here [23,24]. However, the combination creation algorithm is not directly listed.…”

Section: :→mentioning

confidence: 99%

Optimizing Logistics Routes in the Field of Maintenance

Frischer¹,

Pollak²,

Jančíková³

2019

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In the event that there is a requirement to provide maintenance with a service intervention somewhere in the area, it is necessary to select a service team which is optimal for the given task for all the assessed aspects. In this article, tests and methods based on TSP principles have been developed that are able to optimize route selection between key points. Due to the complexity of algorithm design, two approaches have been validated. The "Brute Force" method, which can provide information on the choice of the optimal route according to the specified parameters, and the "Nearest Neighbour" method, which is able to quickly calculate a large group of intermediate points, but only provides sufficient results. The aim was to create a methodology, guidance, and direction in evaluating route selection. That is why two basically opposed methods of TSP solution have been chosen, modified by the authors into a form suitable for implementation on virtually any platform. Although the design and program implementation was based on the MATLAB platform, no proprietary functions and libraries are used and the entire software design is implemented without the need for their use.

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“…There is a lot of material describing the issue of combinatory such as here [23,24]. However, the combination creation algorithm is not directly listed.…”

Section: :→mentioning

confidence: 99%