The quantum chromosomes are updated by quantum rotation gates, and are mutated by quantum non-gates.
该方法用量子位构成染色体;用量子位的Bloch坐标构成染色体上的基因位;用量子旋转门进行染色体上量子位的更新;用量子非门进行染色体变异。
According to the analysis of the characteristics of quantum computing and the research of quantum rotation gate,a new quantum rotation gate adjustment strategy was introduced.
分析量子计算的特点,对量子旋转门进行研究,给出了新的量子旋转门调整策略,并与离散二进制粒子群优化算法进行组合,提出了二进制量子粒子群优化算法。
The algorithm is the core of a new quantum rotation gate adjustment strategy,which updates the population,so it has better diversity than the classical genetic algorithm,rapid convergence and good global search capacity characterize the performance of the quantum genetic algorithm.
该算法的核心是采用新的量子旋转门调整策略对种群进行更新操作,有效保证了种群的多样性,可以避免算法陷入局部最优解,提高了算法的全局寻优能力。
We obtained ground state magnetizations M_(T(A,B))/M_(0(A,B)) and analyzed them change rule with spin quantum number and anisotropic parameter X_1, X_2, X_3 by calculating correlations function s operator and thermodynamic (assemble.
通过求解算符的关联函数和热力学系综平均值得到了系统基态的饱和磁化强度MT/M0,并分析了系统基态的饱和磁化强度MT(A,B)/M0(A,B)随自旋量子数,各向异性参数X1,X2,X3的变化规律,得到下列结果:随X1增加,MTA/M0A和MTB/M0B的绝对值减小。
