文中探讨了该类问题中路由选择问题的一种新的解决方法：量子遗传算法。
The muting problem is one of these problems. This paper discusses a new solution for the muting problem.
对典型函数测试表明：该方法有效地提高了量子遗传算法的计算精度和收敛速度。
The results of testing typical function demonstrate that the precision and the rate of convergence are improved by FQGA.
这种改进的量子遗传算法采用了已搜索到的最佳个体更新量子门和群体灾变策略。
In IQGA, the strategies of updating quantum gate using the best solution obtained and population catastrophe were adopted.
第三章分析了量子遗传算法中基本概念以及该算法的具体实现过程，提出了改进量子遗传算法。
In chapter three, by analyzing the basis concept of QGA and its realization, we propose the IQGA.
如果量子超级计算机开发成功，那么对于解决某些问题，遗传算法将迅速成为不仅可行而且更优越的方法。
If quantum supercomputers are ever developed, genetic algorithms will suddenly become not only feasible, but preferable as an approach to solving certain problems.
如果量子超级计算机开发成功，那么对于解决某些问题，遗传算法将迅速成为不仅可行而且更优越的方法。
If quantum supercomputers are ever developed, genetic algorithms will suddenly become not only feasible, but preferable as an approach to solving certain problems.
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