Using Genetic Algorithms for Group Activities in Elderly Communities

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.

[1]  Halimatus Sakdiah Minhat,et al.  Sociodemographic Determinants of Leisure Participation Among Elderly in Malaysia , 2012, Journal of Community Health.

[2]  Melinda Martin-Khan,et al.  Relationship between restraint use, engagement in social activity, and decline in cognitive status among residents newly admitted to long‐term care facilities , 2017, Geriatrics & gerontology international.

[3]  Benjamin H. Gottlieb,et al.  The Physical Activity Scale for the Elderly (PASE) Questionnaire; Does It Predict Physical Health? , 2013, International journal of environmental research and public health.

[4]  L. Wray,et al.  Social relationships, leisure activity, and health in older adults. , 2014, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[5]  Paulo Novais,et al.  A Caregiver Support Platform within the Scope of an Ambient Assisted Living Ecosystem , 2014, Sensors.

[6]  Vicente Julián,et al.  A General Framework for Testing Different Student Team Formation Strategies , 2016, MIS4TEL.

[7]  Paulo Novais,et al.  Sensor-driven agenda for intelligent home care of the elderly , 2012, Expert Syst. Appl..

[8]  Elena del Val Noguera,et al.  An artificial intelligence tool for heterogeneous team formation in the classroom , 2016, Knowl. Based Syst..

[9]  Catherine Haslam,et al.  We can work it out: Group decision-making builds social identity and enhances the cognitive performance of care residents. , 2014, British journal of psychology.

[10]  Vincent Conitzer,et al.  Coalition Structure Generation Utilizing Compact Characteristic Function Representations , 2011 .

[11]  Sharon K Bal.  Leisure activity and risk of dementia scrabble, anyone? , 2004, Canadian family physician Medecin de famille canadien.

[12]  Luc Noreau,et al.  Older Adults, Chronic Disease and Leisure-Time Physical Activity , 2008, Gerontology.

[13]  Shylie Mackintosh,et al.  Exercise class participation among residents in low-level residential aged care could be enhanced: a qualitative study. , 2008, The Australian journal of physiotherapy.

[14]  Toramatsu Shintani,et al.  A Group Buy Protocol based on Coalition Formation for Agent-mediated E-Commerce , 2002 .

[15]  C. A. Anderson,et al.  Therapeutic recreation program design. , 1984 .

[16]  Katia P. Sycara,et al.  Customer Coalitions in Electronic Markets , 2000, AMEC.

[17]  Vicente Julián,et al.  Simulating a Collective Intelligence Approach to Student Team Formation , 2013, HAIS.

[18]  Edith Elkind,et al.  Arbitrators in overlapping coalition formation games , 2011, AAMAS.

[19]  Vincent Conitzer,et al.  Anonymity-proof Shapley value: extending shapley value for coalitional games in open environments , 2008, AAMAS.

[20]  Matthias Klusch,et al.  On safe kernel stable coalition forming among agents , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

[21]  Katia P. Sycara,et al.  A stable and efficient buyer coalition formation scheme for e-marketplaces , 2001, AGENTS '01.

[22]  Norma J. Stumbo,et al.  Therapeutic Recreation Program Design: Principles and Procedures , 1984 .

[23]  Abderrahmane Nitaj,et al.  A new attack on RSA with a composed decryption exponent , 2013, IACR Cryptol. ePrint Arch..