Improved adaptive genetic algorithm for grid resource scheduling via quantum control techniques
Fuyang Chen, Bin Jiang, Gang Tao, Xinyu Zhang · 2013
In this paper, an improved adaptive genetic algorithm of grid resource scheduling based on quantum information techniques is proposed. The grid resource scheduling problem is firstly described in detail. Then the traditional genetic algorithm and its application in grid resource scheduling are introduced. An adaptive genetic algorithm is improved by using quantum control technique, to maintain the diversity of the population and ensure the convergence of genetic algorithms. Simulation results show the high efficiency of the proposed algorithm in this paper.