Evolved election forecasts: using genetic algorithms in improving election forecast results

@article{Hochreiter2011EvolvedEF,
  title={Evolved election forecasts: using genetic algorithms in improving election forecast results},
  author={Ronald Hochreiter and Christoph Waldhauser},
  journal={Proceedings of the 13th annual conference companion on Genetic and evolutionary computation},
  year={2011}
}
  • Ronald Hochreiter, C. Waldhauser
  • Published 12 July 2011
  • Computer Science
  • Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
In this paper, we apply a genetic algorithm to the field of electoral studies. Forecasting election results is one of the most exciting and demanding tasks in the area of market research, especially due to the fact that decisions have to be taken in seconds on live television. We show that the proposed method outperforms currently applied approaches and thereby provide an argument to tighten the intersection between computer science and social science, especially political science, further… 

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