IGAP

Interactive genetic algorithm peer to peer

Juan C. Quiroz, Amit Banerjee, Sushil J. Louis

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

10 Citations (Scopus)

Abstract

We present IGAP, a peer to peer interactive genetic algorithm which reflects the real world methodology followed in team design. We apply our methodology to floorplanning. Through collaboration users are able to visualize designs done by peers on the network, while using case injection to allow them to bias their populations and the fitness function to adapt to subjective preferences.

Original languageEnglish
Title of host publicationGECCO'08
Subtitle of host publicationProceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008
PublisherAssociation for Computing Machinery, Inc
Pages1719-1720
Number of pages2
ISBN (Print)9781605581309
DOIs
Publication statusPublished - 15 Dec 2008
Externally publishedYes
Event10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008 - Atlanta, GA, United States
Duration: 12 Jul 200816 Jul 2008

Conference

Conference10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008
CountryUnited States
CityAtlanta, GA
Period12/07/0816/07/08

Keywords

  • Collaboration
  • Floorplanning
  • Interactive genetic algorithm
  • Peer to peer network

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