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
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;
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
DOI :
10.1109/SICE.2008.4654639