量子计算与遗传算法的融合及其在计算机通信网优化中的应用

Application of Combination of Quantum Computation and Genetic Algorithm to Computer Network Optimization

该文将量子计算与遗传算法进行融合,其核心是在常规遗传算法中将量子的态矢量引入遗传编码,并自适应地进行量子旋转门的调整以实现染色体的演化,使算法具有更好的种群多样性和全局寻优能力。通过求解计算机通信网优化问题的实例,结果表明:新方法比采用常规遗传算法具有明显的高效性。

The algorithm in this paper is based on the combination of quantum computation and genetic algorithm .The core is that using a qubit representation instead of binary, numeric, or symbolic representations and the dynamic adjusting quantum rotation gate strategy are applied to accelerate convergence. So it has better diversity and global search capacity than the conventional genetic algorithm. The results of solving the optimal problems of communication nets show that the efficiency of the new method is obviously higher than that of the conventional genetic algorithm.