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  • During last years, a lot of optimization strategies were developed including genetic algorithms, especially because of their robustness and their very limited requirements on a solved problem. Nevertheless, an optimization of multi-modal problems remains computationally very expensive process. In this paper, several improvements are proposed to the SADE genetic algorithm in order to increase the speed of convergence and reduce the number of tuning parameters. A previously proposed niching strategy is combined with the new version of a genetic algorithm to improve performance on multi-modal problems using several re-starts of an optimization process and memorizing found local extremes.
  • During last years, a lot of optimization strategies were developed including genetic algorithms, especially because of their robustness and their very limited requirements on a solved problem. Nevertheless, an optimization of multi-modal problems remains computationally very expensive process. In this paper, several improvements are proposed to the SADE genetic algorithm in order to increase the speed of convergence and reduce the number of tuning parameters. A previously proposed niching strategy is combined with the new version of a genetic algorithm to improve performance on multi-modal problems using several re-starts of an optimization process and memorizing found local extremes. (en)
  • V průběhu posledních let bylo vyvinuto hodně optimalizačních strategií včetně genetických algoritmů zejména kvůli jejich robustnosti a jejich velmi malým nárokům na řešený problém. Přesto optimalizace více-modálních problémů zůstává výpočetně velmi náročným procesem. V tomto příspěvku je navrženo několik vylepšení algoritmu SADE, jejichž cílem bylo zvýšení rychlosti konvergence algoritmu a snížení počtu parametrů algoritmu. Dříve navržená restartovací strategie je skombinována s novou verzí algoritmu SADE, aby algoritmus dosáhl lepších výsledků při řešení více-modálních problémů díky několika restartům optimalizačního procesu a ukládání nalezených extrémů do paměti. (cs)
Title
  • Real-Coded Genetic Algorithms Enhanced Using a Niching Strategy for Solving Multi-Modal Problems
  • Real-Coded Genetic Algorithms Enhanced Using a Niching Strategy for Solving Multi-Modal Problems (en)
  • Reálně kódované genetické algoritmy rozšířené o restartovací strategii pro řešení více-modálních problémů (cs)
skos:prefLabel
  • Real-Coded Genetic Algorithms Enhanced Using a Niching Strategy for Solving Multi-Modal Problems
  • Real-Coded Genetic Algorithms Enhanced Using a Niching Strategy for Solving Multi-Modal Problems (en)
  • Reálně kódované genetické algoritmy rozšířené o restartovací strategii pro řešení více-modálních problémů (cs)
skos:notation
  • RIV/68407700:21110/08:01146863!RIV09-MSM-21110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770003)
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
  • 391592
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21110/08:01146863
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • convergence rate; differential evolution; genetic algorithms; multi-modal problems; niching strategy; reliability (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [77F1B6088F7B]
http://linked.open...v/mistoKonaniAkce
  • Athens
http://linked.open...i/riv/mistoVydani
  • Stirling
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the Sixth International Conference on Engineering Computational Technology
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kučerová, Anna
  • Lepš, Matěj
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
  • Civil-Comp Press Ltd
https://schema.org/isbn
  • 978-1-905088-26-3
http://localhost/t...ganizacniJednotka
  • 21110
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