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  • The aim of this paper is to study the properties of evolutionary algorithms with competing heuristics in dependence on several factors like the number of heuristics in competition, the values of their tuning parameters, the rules of competition and s o on. Thirty six heuristics were implemented and their role in the evolutionary process was investigated. The optimization experiments were done with several well-known test functions (DeJong 1 and 2, Ackley, Griewangk). The main variables measur ed in experiments were the number of the objective function evaluations needed for reaching the stopping condition and the reliability of finding a point very near to the global minimum. The evolutionary algorithms with competing heuristics were mo re efficient than other evolutionary algorithms in some tasks.
  • The aim of this paper is to study the properties of evolutionary algorithms with competing heuristics in dependence on several factors like the number of heuristics in competition, the values of their tuning parameters, the rules of competition and s o on. Thirty six heuristics were implemented and their role in the evolutionary process was investigated. The optimization experiments were done with several well-known test functions (DeJong 1 and 2, Ackley, Griewangk). The main variables measur ed in experiments were the number of the objective function evaluations needed for reaching the stopping condition and the reliability of finding a point very near to the global minimum. The evolutionary algorithms with competing heuristics were mo re efficient than other evolutionary algorithms in some tasks. (en)
Title
  • Competing Heuristics-Experimental Study
  • Competing Heuristics-Experimental Study (en)
skos:prefLabel
  • Competing Heuristics-Experimental Study
  • Competing Heuristics-Experimental Study (en)
skos:notation
  • RIV/61988987:17310/02:00000015!RIV/2003/GA0/173103/N
http://linked.open.../vavai/riv/strany
  • 74-79
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA402/00/1165), Z(MSM 179000002)
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
  • 641390
http://linked.open...ai/riv/idVysledku
  • RIV/61988987:17310/02:00000015
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • global optimization; evolutionary algorithms; competing heuristics; self-adaptation of algorithm (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [BD438B1C9C52]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • MENDEL 2002, 8th International Conference on Soft Computing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Mišík, Ladislav
  • Tvrdík, Josef
  • Křivý, Ivan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoké učení technické v Brně
https://schema.org/isbn
  • 80-214-2135-5
http://localhost/t...ganizacniJednotka
  • 17310
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