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Ponencias en congresos:
Towards a hybrid neural and evolutionary heuristic approach for playing tile-matching puzzle games
Año:2017
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
In this paper we explore the hybrid application of evolutionary computation and artificial neural networks in the development of intelligent systems able to solve the problem of approximating the optimal strategy in a tile-matching puzzle game. Three intelligent systems are proposed: an evolutionary heuristic technique, artificial neural networks, and a hybrid approach that combines both. Results show that the hybrid approach, which combines the advantages of the two previous solutions, performs better at both, the number of completed lines and the average piece placement time. These results aim to serve as the basis for a later comparative study against state- of-the-art techniques in the topic.
Internacional
Si
Nombre congreso
IEEE Conference on Computational Intelligence and Games 2017
Tipo de participación
960
Lugar del congreso
New York, USA
Revisores
Si
ISBN o ISSN
978-1-5386-3234-5
DOI
10.1109/CIG.2017.8080418
Fecha inicio congreso
22/08/2017
Fecha fin congreso
25/08/2017
Desde la página
76
Hasta la página
79
Título de las actas
2017 IEEE Conference on Computational Intelligence and Games (CIG),
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: José María Font Fernández (University of Malmö)
  • Autor: Sergio Larrodera
  • Autor: Daniel Manrique Gamo (UPM)
  • Autor: Pablo Ramos Criado (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Inteligencia Artificial
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