Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers
The 50th Annual Conference of the Institute of Systems, Control and Information Engineers
Session ID : 2F1-3
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Host: The Institute of Systems, Control and Information Engineers

A Co-evolutionary Generation Alternation Model for Designing Effective Strategies in One-on-one Competitive Games
*Yuta Majima, Nobuhiro Matsuda, Norihiko Ono
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Keywords: genetic programming, co-evolution, generation alternation models, one-on-one contests, code bloat
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Abstract
Aimed at the establishment of Genetic Programming(GP)-based emergent systems design schemes, we have proposed a new framework of GP that can resolve one of the critical problems in GP i.e. the problem of explosive increase of complex individuals in the population. In this article, we discuss the potentials of the proposed framework through its application to the two-dimensional hockey game.
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© 2006 The Institute of Systems, Control and Information Engineers
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