In this paper, we have discussed the multi-quantum evolutionary algorithm and simulated annealing algorithm for parallel search of the combination of single-point serial search. From the methodological point of view, it can largely enhance the intelligence of the algorithm. We also introduce the quantum mutation operator into multi-agent quantum evolutionary algorithm to achieve hybrid optimization.
['Xinyan Gan', 'Jianguo Zheng']
Multi-agent based hybrid evolutionary algorithm