Title :
Evolving Robocup Soccer Player formations by particle swarm optimization
Author :
Okada, Hidehiko ; Wada, Tetsuya ; Yamashita, Akira
Author_Institution :
Grad. Sch. of Eng., Kyoto Sangyo Univ., Kyoto, Japan
Abstract :
Researchers have applied evolutionary algorithms to RoboCup Soccer 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 algorithms. We report our application of particle swarm optimization (PSO) to the evolution of RoboCup Soccer player formations: how well formations for various team performances (e.g., offensive, defensive, balanced) can be automatically obtained by means of PSO.
Keywords :
mobile robots; multi-robot systems; particle swarm optimisation; RoboCup soccer player formations; evolutionary algorithms; particle swarm optimization; team performances; Benchmark testing; Conferences; Educational institutions; Games; Particle swarm optimization; Tuning; Particle swarm optimization; RoboCup soccer simulation league; autonomous agent; evolutionary algorithm;
Conference_Titel :
SICE Annual Conference (SICE), 2011 Proceedings of
Conference_Location :
Tokyo
Print_ISBN :
978-1-4577-0714-8