DocumentCode :
3150136
Title :
Evaluation of multi-objective genetic algorithm for RoboCupSoccer team evolution
Author :
Okada, Hidehiko ; Takagi, Takuya
Author_Institution :
Dept. of Inf. Commun. Eng., Kyoto Sangyo Univ., Kyoto
fYear :
2008
fDate :
20-22 Aug. 2008
Firstpage :
151
Lastpage :
154
Abstract :
Researchers have applied genetic algorithm (GA) to RoboCupSoccer players/teams and evaluate the effectiveness of the algorithm in evolving good players and teams, but further investigations are required to know more about the ability of the algorithm. This paper reports our experience and findings on the application of multi-objective GA to the evolution of Robocup soccer teams: how well teams with various performances (e.g., offensive, defensive, balanced) can be automatically obtained by means of multi-objective GA.
Keywords :
genetic algorithms; mobile robots; multi-robot systems; RoboCupSoccer team evolution; autonomous agents; evolutionary computation; multiobjective genetic algorithm; Autonomous agents; Computational intelligence; Computational modeling; Evolutionary computation; Flowcharts; Genetic algorithms; Genetic engineering; Genetic mutations; Performance evaluation; Robocup soccer simulation league; autonomous agent; evolutionary algorithm; multi-objective GA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
Type :
conf
DOI :
10.1109/SICE.2008.4654639
Filename :
4654639
Link To Document :
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