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  • Evolutionary algorithms (EA) are population-based search algorithms. They have been applied to solve numerous engineering as well as scientific design and optimization problems, in many cases outperforming conventional methods or other search-based methods. Dozens of human-competitive results obtained using EA were awarded at the annual GECCO Humies competitions. Despite these achievements, the EA-based problem solving approach has been criticized mainly because of very long runtimes, insufficient scalability, an inherently stochastic nature and a missing rigorous theoretical background, especially regarding the convergence analysis. In order to speed up the EA, particularly the fitness function evaluation, various accelerators have been proposed utilizing clusters of computers, graphics processing units (GPUs) or specialized hardware. This contribution to the Ubiquity Symposium addresses the scenario in which evolutionary design (or optimization) is carried out on a chip and candidate des
  • Evolutionary algorithms (EA) are population-based search algorithms. They have been applied to solve numerous engineering as well as scientific design and optimization problems, in many cases outperforming conventional methods or other search-based methods. Dozens of human-competitive results obtained using EA were awarded at the annual GECCO Humies competitions. Despite these achievements, the EA-based problem solving approach has been criticized mainly because of very long runtimes, insufficient scalability, an inherently stochastic nature and a missing rigorous theoretical background, especially regarding the convergence analysis. In order to speed up the EA, particularly the fitness function evaluation, various accelerators have been proposed utilizing clusters of computers, graphics processing units (GPUs) or specialized hardware. This contribution to the Ubiquity Symposium addresses the scenario in which evolutionary design (or optimization) is carried out on a chip and candidate des (en)
Title
  • Ubiquity symposium: Evolutionary computation and the processes of life: evolutionary computation in physical world
  • Ubiquity symposium: Evolutionary computation and the processes of life: evolutionary computation in physical world (en)
skos:prefLabel
  • Ubiquity symposium: Evolutionary computation and the processes of life: evolutionary computation in physical world
  • Ubiquity symposium: Evolutionary computation and the processes of life: evolutionary computation in physical world (en)
skos:notation
  • RIV/00216305:26230/13:PU106284!RIV14-GA0-26230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), P(GAP103/10/1517)
http://linked.open...iv/cisloPeriodika
  • 2
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
  • 112264
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/13:PU106284
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • evolutionary computation, evolvable hardware, computing theory (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [76FC5A5C5B20]
http://linked.open...i/riv/nazevZdroje
  • Ubiquity
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...v/svazekPeriodika
  • 2013
http://linked.open...iv/tvurceVysledku
  • Sekanina, Lukáš
issn
  • 1530-2180
number of pages
http://localhost/t...ganizacniJednotka
  • 26230
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