• DOI:10.1145/1068009.1068228
Corpus ID: 2366788

Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness

@inproceedings{Llor2005CombatingUF,
  title={Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness},
  author={Xavier Llor{\`a} and K. Sastry and D. Goldberg and A. Gupta and L. Lakshmi},
  booktitle={GECCO '05},
  year={2005}
}

Xavier Llorà, K. Sastry, +2 authors L. Lakshmi

Published in GECCO '05 2005

Computer Science

One of the daunting challenges of interactive genetic algorithms (iGAs)---genetic algorithms in which fitness measure of a solution is provided by a human rather than by a fitness function, model, or computation---is user fatigue which leads to sub-optimal solutions. This paper proposes a method to combat user fatigue by augmenting user evaluations with a synthetic fitness function. The proposed method combines partial ordering concepts, notion of non-domination from multiobjective optimization… CONTINUE READING

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