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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