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Description
  • An Ikeda map embedded genetic algorithm is in- troduced in this research in order to solve the order picking problem. The chaos based algorithm is compared against the canonical pseudo-random number based genetic algorithm over thirty test instances of varying complexity. From the results, the chaos based genetic algorithm is shown to have better overall performance, especially for larger sized problem instances. The statistical paired t-test comparison of the results further reinforces the fact that the chaos based genetic algorithm is significantly better performing.
  • An Ikeda map embedded genetic algorithm is in- troduced in this research in order to solve the order picking problem. The chaos based algorithm is compared against the canonical pseudo-random number based genetic algorithm over thirty test instances of varying complexity. From the results, the chaos based genetic algorithm is shown to have better overall performance, especially for larger sized problem instances. The statistical paired t-test comparison of the results further reinforces the fact that the chaos based genetic algorithm is significantly better performing. (en)
Title
  • A genetic algorithm with an embedded Ikeda map applied to an order picking problem in a multi-aisle warehouse
  • A genetic algorithm with an embedded Ikeda map applied to an order picking problem in a multi-aisle warehouse (en)
skos:prefLabel
  • A genetic algorithm with an embedded Ikeda map applied to an order picking problem in a multi-aisle warehouse
  • A genetic algorithm with an embedded Ikeda map applied to an order picking problem in a multi-aisle warehouse (en)
skos:notation
  • RIV/61989100:27240/14:86092780!RIV15-MSM-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA13-08195S), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
  • Davendra, Donald David
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 749
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/14:86092780
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Genetic algorithm, Ikeda map, order picking problem (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [FD94433AAB8C]
http://linked.open...v/mistoKonaniAkce
  • Orlando
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIPLS 2014: 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Proceedings
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
  • Davendra, Donald David
  • Dornberger, Rolf
  • Hanne, Thomas
  • Ryter, Remo
  • Stauffer, Michael
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/CIPLS.2014.7007161
http://purl.org/ne...btex#hasPublisher
  • Institute of Electrical and Electronics Engineers
https://schema.org/isbn
  • 978-1-4799-4501-6
http://localhost/t...ganizacniJednotka
  • 27240
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