Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Towards a hybrid neural and evolutionary heuristic approach for playing tile-matching puzzle games
Year:2017
Research Areas
  • Artificial intelligence
Information
Abstract
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.
International
Si
Congress
IEEE Conference on Computational Intelligence and Games 2017
960
Place
New York, USA
Reviewers
Si
ISBN/ISSN
978-1-5386-3234-5
10.1109/CIG.2017.8080418
Start Date
22/08/2017
End Date
25/08/2017
From page
76
To page
79
2017 IEEE Conference on Computational Intelligence and Games (CIG),
Participants
  • Autor: José María Font Fernández (University of Malmö)
  • Autor: Sergio Larrodera
  • Autor: Daniel Manrique Gamo (UPM)
  • Autor: Pablo Ramos Criado (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Inteligencia Artificial
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