QGA的音标

Quantum-inspired genetic algorithm ( QGA) which has many characteristic of quantum computation, such as highly parallelism, as a new probability evolutionary algorithm, improves greatly computation efficency when it is used to solve the practical problems.

具有量子计算诸多特点的量子遗传算法（OGA）作为&新的概率进化算法，在解决实际问题时，其高度并行性能极大地提高计算效率，因而研究OGA求解TSP同样有重要的价值；

Aiming at the disadvantage of the immobile rotated angle in quantum genetic algorithm ( QGA), the fuzzy self tuning method was introduced and the fuzzy quantum genetic algorithm ( FQGA) was put forward.

针对量子遗传算法（QGA）中旋转变异角相对固定的缺点，将模糊自适应的思想引入QGA，提出了模糊量子遗传算法（FQGA）。

Quantum algorithm ( QA) with updating of quantum gates and catastrophe of population is compared with quantum genetic algorithm ( QGA) by including crossover and mutation for quantum bits.

首先比较了带量子门更新和群体灾变的量子算法（QA）以及加入对量子位的交叉和变异操作的量子遗传算法（QGA）；