The cooperative co-evolution algorithm based on individual selection of self-adaptation

A method of adaptive co-evolution, which represents the individual choice, is proposed in this paper. Multi-agent structure and coordinate mechanism is also proposed based on it. It was applied in multi-robotic cooperation problem. In order to optimize the performance of the system, we use multi-group to produce multi-agent system and execute the sequence, and search for the optimal solution from all possible ones produced by decomposing the assigned duty. The result of the computer simulation indicates that the algorithm of adaptation co-evolution on multi-agent system on multi-robotic cooperation is better than CCP (coordinate-based cooperation protocols)