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http://dx.doi.org/10.7583/JKGS.2017.17.6.129

A Study on The Game Character Creation Using Genetic Algorithm in Football Simulation Games  

No, Hae-Sun (Dept. of Game Studies, Graduate School, Sangmyung University)
Rhee, Dae-Woong (Dept. of Game Studies, College of ICT Convergence, Sangmyung University)
Publication Information
Journal of Korea Game Society / v.17, no.6, 2017 , pp. 129-138 More about this Journal
Abstract
In football simulation games, it is very important for the interest of the game to make the stats of the football players close to reality. As the management concept is introduced to the sports simulation game, when the user plays the game for a long time, the existing player character retires. Therefore, the game creates the environment of the game by creating a new player in the game. In this study, we propose a method to create a new player character by using genetic algorithm to have the optimal ability similar to existing players. We compare and evaluate the player character with the existing random generation method, the correction random method and the proposed algorithm, and verify the validity of the proposed method.
Keywords
football / soccer; game; genetic algorithm; character creation; simulation;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Darrin C. Bentivegna, Ales Ude, Christopher G. Atkeson, Gordon Cheng, "Humanoid Robot Learning and Game Playing Using PC-Based Vision", IEEE/RS Intl. Conference on Intelligent Robots and Systems EPFL, Lausanne, Switzerland, pp.352-365, October 2002.
2 Byung-Ro Moon, "Easy Learning Algorithm: An Evolutionary Approach", HanbitMedia, 2008.
3 Ji-Min Kim, Sun-Jeong Kim, Seokmin-Hong, "Players Adaptive Monster Generation Technique Using Genetic Algorithm", Journal of Internet Computing and Services, Vol 18, No.2, pp.43-51, 2017.   DOI
4 Myun-Sub Lee, "A Study about Intelligent Character Game Based on Behavior Pattern of User by Using Genetic Algorithm", Korea Knowledge Information Technology Society, Vol 7, No. 6, pp.135-143, 2012.
5 Dal-ho Cho, Young ho Lee, Jin Hyung Kim, So-Young Park, Dae-Woong Rhee, "NPC Control Model for Defense in Soccer Game Applying the Decision Tree Learning Algorithm", Journal of Korea Game Society Vol 11, No. 6, pp.61-70, 2011.
6 Jung HyungGu, "Framework of AI Engine for Strategy Soccer Simulation", The Graduate School Hankuk University of Foreign Studies, 2009
7 O-Kyang Kwun, Jong-Koo Park, "Control of RPG Game Characters Using Genetic Algorithm and Neural Network", Journal of Korea Game Society, Vol 6, No. 2, pp.13-22, 2006.
8 Laura Barbulescu, Jean-Paul Watson, Darrell Whitley, "Dynamic Representations and Escaping Local Optima: Improving Genetic Algorithms and Local Search", Seventeenth National Conference on Artificial Intelligence(AAAI), pp.879-884, 2000.
9 Thang Nguyen Bui and Byung Ro Moon, "On multi-dimensional encoding/crossover", International Conference on Genetic Algorithms, pp.49-56, 1995.