Using Pareto Front for a Consensus Building, Human Based, Genetic Algorithm

Authors

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 evaluate the partial solution proposed. Following [1] we then select the pareto front of the proposed partial solutions, eliminating the dominated ones. We then feed the results back to the human beings, asking them to find alternative proposals that integrate and synthesise the solutions in the pareto front. The algorithm is currently being implemented, and some preliminary results are presented here. Some possible variations on the algorithm, and some of its limitations, are also discussed.

Keywords

e-government, pareto frontier, genetic algorithm, human based genetic algorithm, multi dimension decision making

Subject

Evolutionary and Complex Systems

Conference

ECAL 2009: 10th EUROPEAN CONFERENCE ON ARTIFICIAL LIFE, September 2009

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