TY - JOUR
T1 - Cooperative coevolutionary adaptive genetic algorithm in path planning of cooperative multi-mobile robot systems
AU - Cai, Zixing
AU - Peng, Zhihong
PY - 2002/1
Y1 - 2002/1
N2 - In this paper, path planning of cooperative multi-mobile robot systems, an example of multi-agent systems, is discussed with the proposal of a novel Cooperative Coevolutionary Adaptive Genetic Algorithm (CCAGA). At the same time, for such genetic algorithms based path planning, a novel fixed-length decimal encoding mechanism for paths of each mobile robot is also proposed. Such cooperative coevolutionary adaptive genetic algorithm is suitable for parallel computation, which is convenient to solve complicated problems. Meanwhile, simulation results show that this algorithm has the property of robust convergency.
AB - In this paper, path planning of cooperative multi-mobile robot systems, an example of multi-agent systems, is discussed with the proposal of a novel Cooperative Coevolutionary Adaptive Genetic Algorithm (CCAGA). At the same time, for such genetic algorithms based path planning, a novel fixed-length decimal encoding mechanism for paths of each mobile robot is also proposed. Such cooperative coevolutionary adaptive genetic algorithm is suitable for parallel computation, which is convenient to solve complicated problems. Meanwhile, simulation results show that this algorithm has the property of robust convergency.
KW - Cooperative coevolutionary adaptive genetic algorithm
KW - Fixed-length decimal encoding mechanism
KW - Multi-agent systems
KW - Multi-mobile robot systems
KW - Path planning
UR - https://www.scopus.com/pages/publications/0036196083
U2 - 10.1023/A:1014463014150
DO - 10.1023/A:1014463014150
M3 - Article
AN - SCOPUS:0036196083
SN - 0921-0296
VL - 33
SP - 61
EP - 71
JO - Journal of Intelligent and Robotic Systems: Theory and Applications
JF - Journal of Intelligent and Robotic Systems: Theory and Applications
IS - 1
ER -