About: Finding Optimal Solutions of Energetic Remedial Equations with Genetic Algorithms     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • This paper presents a new way of finding the optimal solution of energetic remedial process. These solutions came as a result of optimization of energetic equations. The new artificial computation engine based on genetic algorithms which are commonly used for optimization in general has proved suitable for this problem domain as well. However, we developed the solutions describing energetic equations from the other point of view. They show the hidden characteristics which are not always easy to specify. Genetic algorithms often demand huge amount of computer time. We had to design the specific type of the distributed service oriented solution to meet the demands of computing and integration to the existing software environment.
  • This paper presents a new way of finding the optimal solution of energetic remedial process. These solutions came as a result of optimization of energetic equations. The new artificial computation engine based on genetic algorithms which are commonly used for optimization in general has proved suitable for this problem domain as well. However, we developed the solutions describing energetic equations from the other point of view. They show the hidden characteristics which are not always easy to specify. Genetic algorithms often demand huge amount of computer time. We had to design the specific type of the distributed service oriented solution to meet the demands of computing and integration to the existing software environment. (en)
Title
  • Finding Optimal Solutions of Energetic Remedial Equations with Genetic Algorithms
  • Finding Optimal Solutions of Energetic Remedial Equations with Genetic Algorithms (en)
skos:prefLabel
  • Finding Optimal Solutions of Energetic Remedial Equations with Genetic Algorithms
  • Finding Optimal Solutions of Energetic Remedial Equations with Genetic Algorithms (en)
skos:notation
  • RIV/00216224:14110/06:00021681!RIV10-MSM-14110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021622412)
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
  • 475870
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14110/06:00021681
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Genetic Algorithms; Optimization; Energy Management (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [57789487CD86]
http://linked.open...v/mistoKonaniAkce
  • Graz, Austria
http://linked.open...i/riv/mistoVydani
  • Austria
http://linked.open...i/riv/nazevZdroje
  • 20th International Conference on Informatics for Environmental Protection. Managing Environmental Knowledge
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hřebíček, Jiří
  • Pavlovič, Jan
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
  • Shaker Verlag
https://schema.org/isbn
  • 3-8322-5321-1
http://localhost/t...ganizacniJednotka
  • 14110
is http://linked.open...avai/riv/vysledek of
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software