Hybrid of Rule-based Systems Using Genetic Algorithm to Improve Platform Game Performance | Zendy

Hyun-Tae Kim | Zendy; Kyung-Joong Kim | Zendy

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Hybrid of Rule-based Systems Using Genetic Algorithm to Improve Platform Game Performance

Author(s) -

Hyun-Tae Kim,

Kyung-Joong Kim

Publication year - 2013

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2013.10.033

Subject(s) - computer science , genetic algorithm , set (abstract data type) , rule based system , field (mathematics) , algorithm , artificial intelligence , machine learning , mathematics , pure mathematics , programming language

everal attempts in the field for various games have been made using Genetic Algorithm. “Geometry Friends” is one of many platform games. This paper shows performance improvement of the platform game by applying GA. We attempt to determine the parameters for rule-based systems in the “Geometry Friends” game. We perform experiments for the problem not to be solved based on rule-based systems. We divide experimental cases and apply GA to each case. As a result, we could get a set of optimal parameters. Parameters tuning of rule-based systems using GA is more effective to improve performance than rule-based systems

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