Analyzing active interactive genetic algorithms using visual analytics

Xavier Llorà, Kumara Sastry, Francesc Alías

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

17 Cites (Scopus)

Resum

This paper builds introduces visual-analytic techniques to aggregate, summarize, and visualize the information generated during interactive evolutionary processes. Special visualizations of the user-provided partial ordering of solutions, the synthetic fitness surrogates induced, and the model of user preferences were prepared. The proposed visualanalytic techniques point out potential pitfalls, strengths, and possible improvements in a non-trivial case study where the hierarchical tournament selection scheme of an active interactive genetic algorithm is replaced by an incremental selection scheme. Visual analytics provided an intuitive reasoning environment that unveiled important properties that greatly affect the performance of active interactive genetic algorithms that could not have been easily reveled otherwise.

Idioma originalAnglès
Títol de la publicacióGECCO 2006 - Genetic and Evolutionary Computation Conference
Pàgines1417-1418
Nombre de pàgines2
Estat de la publicacióPublicada - 2006
Esdeveniment8th Annual Genetic and Evolutionary Computation Conference 2006 - Seattle, WA, United States
Durada: 8 de jul. 200612 de jul. 2006

Sèrie de publicacions

NomGECCO 2006 - Genetic and Evolutionary Computation Conference
Volum2

Conferència

Conferència8th Annual Genetic and Evolutionary Computation Conference 2006
País/TerritoriUnited States
CiutatSeattle, WA
Període8/07/0612/07/06

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