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  • This paper presents an application of a prototype optimization with evolved improvement steps algorithm (POEMS) to the well-known problem of optimal sorting network design. The POEMS is an iterative algorithm that seeks the best variation of the current solution in each iteration. For experimental evaluation 10-input, 12-input, 14-input and 16-input instances of the sorting network problem were used. Results show that the proposed POEMS approach clearly outperforms both compared algorithms. Moreover, POEMS was able to find several perfect networks that are equivalent w.r.t. the number of comparators to the best known solutions for the 10-input, 12-input, 14-input, and 16-input problems.
  • This paper presents an application of a prototype optimization with evolved improvement steps algorithm (POEMS) to the well-known problem of optimal sorting network design. The POEMS is an iterative algorithm that seeks the best variation of the current solution in each iteration. For experimental evaluation 10-input, 12-input, 14-input and 16-input instances of the sorting network problem were used. Results show that the proposed POEMS approach clearly outperforms both compared algorithms. Moreover, POEMS was able to find several perfect networks that are equivalent w.r.t. the number of comparators to the best known solutions for the 10-input, 12-input, 14-input, and 16-input problems. (en)
Title
  • Solving the Sorting Network Problem Using Iterative Optimization with Evolved Hypermutations
  • Solving the Sorting Network Problem Using Iterative Optimization with Evolved Hypermutations (en)
skos:prefLabel
  • Solving the Sorting Network Problem Using Iterative Optimization with Evolved Hypermutations
  • Solving the Sorting Network Problem Using Iterative Optimization with Evolved Hypermutations (en)
skos:notation
  • RIV/68407700:21230/09:00156838!RIV10-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 342324
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/09:00156838
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • combinatorial optimization; evolutionary algorithms (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F267E00A3643]
http://linked.open...v/mistoKonaniAkce
  • Montreal
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • Genetic and Evolutionary Computation Conference 2009
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kubalík, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • ACM
https://schema.org/isbn
  • 978-1-60558-325-9
http://localhost/t...ganizacniJednotka
  • 21230
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