1) quantum fish algorithm
量子鱼群算法
1.
This paper proposes a new quantum fish algorithm is based on swarm intelligent theory and quantum theory.
本文主要将量子行为引入鱼群算法,通过量子编码来有效的扩大个体的多样性,将群体智能理论和量子理论结合,提出一种基于量子计算概念和理论的量子鱼群算法。
2) quantum artificial fish swarm hybrid algorithm
量子鱼群混合算法
3) fish-swarm algorithm
鱼群算法
1.
An optimization approach to the location of oilfield multistage stations by fish-swarm algorithm;
基于鱼群算法的油田多级站定位优化方法研究
2.
An optimization method of multistage stations locating in oil transportation based on fish-swarm algorithm;
用鱼群算法求解石油运输系统多级站定位优化问题
3.
Optimization of multilevel hierarchical transshipment system in logistics transportation based on fish-swarm algorithm;
用鱼群算法求解多级递阶物流中转运输系统优化问题
4) artificial fish swarm algorithm
鱼群算法
1.
So the paper put forward artificial fish swarm algorithm(AFSA) for Optimization of complex system reliability.
针对这一问题,提出了基于群体智能-人工鱼群算法(Artificial Fish School Algorithm,AFSA)的优化方法。
5) QDPSO
量子粒子群算法
1.
The optimization of high performance liquid Chromatographic conditions for aromatic compounds based on QDPSO;
基于量子粒子群算法的芳香族化合物色谱分离条件的优化
2.
Tuning of PID parameters based on QDPSO;
基于量子粒子群算法的PID控制器参数整定
6) Quantum-behaved Particle Swarm Optimization(QPSO)
量子粒子群算法
1.
Since the model involves some different stochastic distributions of several variables,which is difficult for the normal numerical methods to solve,the Quantum-behaved Particle Swarm Optimization(QPSO) algorithm with a penalty function is i.
模型中涉及复杂的需求函数,常规函数极值法不易获得问题解析解,因此引入量子粒子群算法,结合惩罚函数对模型进行演化求解。
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