Abstract
We present a decision making procedure, for a problem where no solution is known a priori. The decision making procedure is a human powered genetic algorithm that uses human beings to produce variations and evaluation of the partial solution proposed. Following [1] we then pick the pareto front of the proposed partial solutions proposed, eliminating the dominated ones. We then feed back the partial results to the human beings, asking them to find a alternative proposals, that integrate and synthesize the solutions in the pareto front. The algorithm is right now being implemented, and some preliminary results are being presented. Some possible variations on the algorithm, and some limits of it, are also discussed.
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© 2011 Springer-Verlag Berlin Heidelberg
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Speroni di Fenizio, P., Anderson, C. (2011). Using Pareto Front for a Consensus Building, Human Based, Genetic Algorithm. In: Kampis, G., Karsai, I., Szathmáry, E. (eds) Advances in Artificial Life. Darwin Meets von Neumann. ECAL 2009. Lecture Notes in Computer Science(), vol 5778. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21314-4_22
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DOI: https://doi.org/10.1007/978-3-642-21314-4_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21313-7
Online ISBN: 978-3-642-21314-4
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