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
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