TY - GEN
T1 - Path planning for mobile robots by bacterial memetic algorithm
AU - Botzheim, János
AU - Toda, Yuichiro
AU - Kubota, Naoyuki
PY - 2011/8/12
Y1 - 2011/8/12
N2 - The goal of the path planning problem is to determine an optimal collision-free path between a start and a target point for a mobile robot in an environment surrounded by obstacles. This problem belongs to the group of hard optimization problems which can be approached by modern optimization techniques such as evolutionary algorithms. In this paper the bacterial memetic algorithm is proposed for path planning of a mobile robot. The representation used in the paper fits well to the algorithm. Memetic algorithms combine evolutionary algorithms with local search heuristics in order to speed up the evolutionary process. The bacterial memetic algorithm applies the bacterial operators instead of the genetic algorithm's crossover and mutation operator. One advantage of these operators is that they easily can handle individuals with different length. The proposed algorithm is tested in real environment.
AB - The goal of the path planning problem is to determine an optimal collision-free path between a start and a target point for a mobile robot in an environment surrounded by obstacles. This problem belongs to the group of hard optimization problems which can be approached by modern optimization techniques such as evolutionary algorithms. In this paper the bacterial memetic algorithm is proposed for path planning of a mobile robot. The representation used in the paper fits well to the algorithm. Memetic algorithms combine evolutionary algorithms with local search heuristics in order to speed up the evolutionary process. The bacterial memetic algorithm applies the bacterial operators instead of the genetic algorithm's crossover and mutation operator. One advantage of these operators is that they easily can handle individuals with different length. The proposed algorithm is tested in real environment.
UR - http://www.scopus.com/inward/record.url?scp=79961227053&partnerID=8YFLogxK
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U2 - 10.1109/RIISS.2011.5945787
DO - 10.1109/RIISS.2011.5945787
M3 - Conference contribution
AN - SCOPUS:79961227053
SN - 9781424498840
T3 - IEEE SSCI 2011: Symposium Series on Computational Intelligence - RIISS 2011: 2011 IEEE Workshop on Robotic Intelligence in Informationally Structured Space
SP - 107
EP - 112
BT - IEEE SSCI 2011
T2 - Symposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE Workshop on Robotic Intelligence in Informationally Structured Space, RIISS 2011
Y2 - 11 April 2011 through 15 April 2011
ER -