Using Genetic Algorithms for Group Activities in Elderly Communities

Abstract This paper proposes a model for group formation in elderly communities using Coalition Structure Generation Problem implemented by Genetic Algorithms. The model parameters are physical requirements, preferences and social relationships, being the model able to learn from each execution and improve the future configurations. The results show near-optimal solutions to all proposed scenarios, beating greatly the computational time of CPLEX.

Authors

• Juan José Hernández
• Ângelo Costa
• Elena del Val
• Juan M. Alberola
• Paulo Novais
• Vicente Julián

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