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Evaluation of Team Strategies Using Match Results for an Evolutionary Computation Method
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- Takatani Masahiro
- Osaka Prefecture University
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- Nakashima Tomoharu
- Osaka Prefecture University
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- Udo Masayo
- Osaka Prefecture University
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- Ishibuchi Hisao
- Osaka Prefecture University
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- Nii Manabu
- University of Hyogo
Bibliographic Information
- Other Title
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- 進化型計算における対戦履歴を考慮したチーム戦略の評価
Description
In this paper, an evaluation method is proposed to improve the performance of an evolutionary computation method for RoboCup soccer team strategies. The averaged scores are used in the proposed method to handle uncertainty in the game. Competent team strategies with high averaged scores and low conceded scores are used to generate next team strategies in the evolutionary computation. Thorough computer simulations we show the effectiveness of the proposed method.
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 21 (0), 73-73, 2005
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390001205667798400
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- NII Article ID
- 130005035090
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed
