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Using Genetic Algorithms for Group Activities in Elderly Communities

  • Juan José Hernández
  • Angelo Costa
  • Elena del ValEmail author
  • Juan M. Alberola
  • Paulo Novais
  • Vicente Julian
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10207)

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.

Keywords

Genetic algorithm Group formation Elderly activities 

Notes

Acknowledgment

This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013. A. Costa thanks the FCT - Fundação para a Ciência e Tecnologia the Post-Doc scholarship with the Ref. SFRH/BPD/102696/2014. This work is also partially supported by the MINECO/FEDER TIN2015-65515-C4-1-R.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Juan José Hernández
    • 1
  • Angelo Costa
    • 2
  • Elena del Val
    • 1
    Email author
  • Juan M. Alberola
    • 1
  • Paulo Novais
    • 2
  • Vicente Julian
    • 1
  1. 1.D. Sistemas Informáticos y ComputaciónUniversitat Politècnica de ValènciaValenciaSpain
  2. 2.Centro ALGORITMI, Escola de EngenhariaUniversidade do MinhoGuimarãesPortugal

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