Don’t Vote, Evolve!

  • Pietro Speroni di Fenizio
  • Derek Paterson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6229)


We present an alternative form of decision making designed using a Human Based Genetic Algorithms. The algorithm permits the participants to tackle open questions, by letting all of them propose answers and evaluate each other answers. A successful example is described and some theoretical results are presented showing how the system scales up.


e-Democracy Voting Theory Pareto Front Genetic Algorithms Multi-Criterion Decision Making 


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Copyright information

© IFIP International Federation for Information Processing 2010

Authors and Affiliations

  • Pietro Speroni di Fenizio
    • 1
  • Derek Paterson
    • 1
  1. 1.CISUC, Department of Informatics EngineeringUniversity of CoimbraCoimbraPortugal

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