About: Redundancy Allocation in Automotive Systems using Multi-objective Optimisation     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
  • Redundancy allocation is a widely used method for the reliability improvement of complex embedded systems in the automotive domain. The allocation of redundant components can affect other non-functional quality attributes of the system, which are as important as reliability and very often conflicting with each other, such as cost and response time. Consequently, to find the good system design options, multi-objective optimisation methods can be employed which find a trade-off between these conflicting attributes. While cost and reliability have been already studied in the context of an optimisation problem, the impact of redundancy allocation to the response time has not yet been considered. The approach taken in this paper, considers reliability, cost and response time as optimisation criteria and employs a multi-objective Ant Colony Optimisation algorithm to find the near optimal set of system designs.
  • Redundancy allocation is a widely used method for the reliability improvement of complex embedded systems in the automotive domain. The allocation of redundant components can affect other non-functional quality attributes of the system, which are as important as reliability and very often conflicting with each other, such as cost and response time. Consequently, to find the good system design options, multi-objective optimisation methods can be employed which find a trade-off between these conflicting attributes. While cost and reliability have been already studied in the context of an optimisation problem, the impact of redundancy allocation to the response time has not yet been considered. The approach taken in this paper, considers reliability, cost and response time as optimisation criteria and employs a multi-objective Ant Colony Optimisation algorithm to find the near optimal set of system designs. (en)
Title
  • Redundancy Allocation in Automotive Systems using Multi-objective Optimisation
  • Redundancy Allocation in Automotive Systems using Multi-objective Optimisation (en)
skos:prefLabel
  • Redundancy Allocation in Automotive Systems using Multi-objective Optimisation
  • Redundancy Allocation in Automotive Systems using Multi-objective Optimisation (en)
skos:notation
  • RIV/00216224:14330/09:00028736!RIV11-AV0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET400300504), S
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
  • 338464
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/09:00028736
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Redundancy Allocation; Architecture Optimisation; Automotive Software; Response Time; ArcheOpterix (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [28FE143DE579]
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
  • Bühnová, Barbora
  • Aleti, Aldeida
  • Meedeniya, Indika
http://localhost/t...ganizacniJednotka
  • 14330
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