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  • In this paper, we propose novel adaptation rules for the self-organizing map to solve the prize-collecting traveling salesman problem (PC-TSP). The goal of the PC-TSP is to find a cost-efficient tour to collect prizes by visiting a subset of a given set of locations. In contrast with the classical traveling salesman problem, where all given locations must be visited, locations in the PC-TSP may be skipped at the cost of some additional penalty. Using the self-organizing map, locations for the final solution may be selected during network adaptation, and locations where visitation would be more expensive than their penalty can be avoided. We have applied the proposed self-organizing map learning procedure to autonomous data collection problems, where the proposed approach provides results competitive with an existing combinatorial solver. Springer International Publishing Switzerland 2014.
  • In this paper, we propose novel adaptation rules for the self-organizing map to solve the prize-collecting traveling salesman problem (PC-TSP). The goal of the PC-TSP is to find a cost-efficient tour to collect prizes by visiting a subset of a given set of locations. In contrast with the classical traveling salesman problem, where all given locations must be visited, locations in the PC-TSP may be skipped at the cost of some additional penalty. Using the self-organizing map, locations for the final solution may be selected during network adaptation, and locations where visitation would be more expensive than their penalty can be avoided. We have applied the proposed self-organizing map learning procedure to autonomous data collection problems, where the proposed approach provides results competitive with an existing combinatorial solver. Springer International Publishing Switzerland 2014. (en)
Title
  • Self-Organizing Map for the Prize-Collecting Traveling Salesman Problem
  • Self-Organizing Map for the Prize-Collecting Traveling Salesman Problem (en)
skos:prefLabel
  • Self-Organizing Map for the Prize-Collecting Traveling Salesman Problem
  • Self-Organizing Map for the Prize-Collecting Traveling Salesman Problem (en)
skos:notation
  • RIV/68407700:21230/14:00225364!RIV15-GA0-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GP13-18316P)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 44341
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/14:00225364
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • raveling salesman problem; Vector quantization Adaptation rules; Cost-efficient; Data collection; Map learning; Network adaptation; Prize-collecting (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B20224A27BB5]
http://linked.open...v/mistoKonaniAkce
  • Mittweida
http://linked.open...i/riv/mistoVydani
  • Düsseldorf
http://linked.open...i/riv/nazevZdroje
  • Advances in Intelligent Systems and Computing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Faigl, Jan
  • Hollinger, G. A.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 2194-5357
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-319-07695-9_27
http://purl.org/ne...btex#hasPublisher
  • Springer-VDI-Verlag
https://schema.org/isbn
  • 978-3-319-07694-2
http://localhost/t...ganizacniJednotka
  • 21230
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