1) quantum immune algorithm
量子免疫算法
1.
Evaluation method of oil and gas resource based on process neural networks and quantum immune algorithm;
基于过程神经网络和量子免疫算法的油气评价
2) Quantum-behaved Particle Swarm Optimizaiton
免疫量子粒子群算法
3) quantum and immunity algorithm
量子免疫遗传算法
1.
The characteristic of quantum and immunity algorithm was concluded.
阐述了量子免疫遗传算法的特点,建立了量子免疫遗传算法网络识别模型,给出了极性分子Z-dol润滑剂在表面的分散轮廓参数、输入输出层设计和样本数据的采集与处理的方法。
4) immune quantum evolutionary algorithm
免疫量子进化算法
1.
A novel immune quantum evolutionary algorithm based on chaos theory(CIQEA) is proposed.
提出了基于混沌理论的免疫量子进化算法,该算法应用混沌理论并依据小生境机制将初始个体划分为实数编码染色体的子群,各子群应用免疫特性的局域搜索能力找出优化解。
2.
Each universe evolving independently uses the immune quantum evolutionary algorithm;Information among the universes is exchanged by adopting emigration based on the learning mechanism and quantum-cross simulating entanglement of quantum.
提出了基于学习的多宇宙并行免疫量子进化算法,算法中将种群分成若干个独立的子群体,称为宇宙。
5) IQCA
免疫量子克隆算法
1.
It constructs the fitness function from the least squares solution of SPM,which takes the DOA and frequency as two independent variables,and optimizes the fitness function nonlinearly and globally using the immune quantum-clonal algorithm(IQCA).
通过SPM原理方位估计的最小二乘解,构造了以信号方位和频率作为双自变量的适应度函数,采用免疫量子克隆算法(IQCA)对其进行非线性全局寻优。
6) immune memory based quantum clone algorithm
免疫记忆量子克隆算法
1.
Focusing on the computational load of estimating parameters in the algorithm of singular value decomposition based on the signal phase matching principle(SVDSPM),a novel immune memory based quantum clone algorithm(IMQCA) is proposed to optimize the searching procedure of SVDSPM algorithm.
针对信号相位匹配奇异值分解(SVDSPM)算法中参数联合估计耗时长的问题,提出了免疫记忆量子克隆算法(IMQCA)。
补充资料：单量子阱(见量子阱)
单量子阱(见量子阱)
single quantum well
单且子阱sillgle quantum well见量子阱。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条