搜索资源列表
GQA_backpak
- 解决背包问题遗传量子算法matlab实例-Quantum genetic algorithm to solve knapsack problem matlab examples
qpso2
- 量子遗传算法是量子计算与遗传算法相结合的产物。目前,这一领域的研究主要集中在两类模型上:一类是基于量子多宇宙特征的多宇宙量子衍生遗传算法(Quantum Inspired Genetic Algorithm),另一类是基于量子比特和量子态登加特性的遗传量子算法(Genetic Quantum Algorithm,GQA)。-Quantum Inspired Genetic Algorithm)
liangziyichuangaide
- 我使用量子算法改写的鱼群算法,进了很大努力,效果不是很明显,给大家一个参考-I use quantum algorithm to rewrite the fish algorithm, into a lot of efforts, the effect is not very obvious, to a reference
CSharp_Quantum-algorithm_TSP
- 算法设计:利用量子算法求解TSP,个人软著分享给大家。-Algorithm design: the use of quantum algorithm to solve the TSP, the individual is soft to share to everyone.
lecture04
- 量子计算讲义4 讲解量子计算领域基础的几个量子算法-Lecture 4 explain quantum computing quantum computing based on several areas of quantum algorithms
jQuantum-2.3.1
- 用于模拟一个量子计算机。它的目的是让开发者可以开发量子算法的演示。-Used to simulate a quantum computer. Its purpose is to allow developers to develop a demonstration of quantum algorithms.
QPSO
- matlab编程的量子粒子群算法!!!!!!!!(QPSO by MATLAB!!!!!!)
PSO
- 基于量子的粒子群优化算法,该算法通过粒子群有量子的行为,提高了算法的寻优能力,增强了算法的全局搜索能力,有效的避免了“早熟”问题。(Quantum based particle swarm optimization algorithm.The algorithm improves the searching ability of the algorithm by quantum behavior of particle swarm, and enhances the global searchi
量子免疫算法
- 执行量子位相位变异,求解最优解,获得最优解及相应自变量(Solving the optimal solution)
chapter8 基于量子遗传算法的函数寻优算法
- chapter8 基于量子遗传算法的函数寻优算法(Chapter8 function optimization algorithm based on quantum genetic algorithm)
QPSO
- 量子粒子群优化算法以量子力学原理为基础,用波函数描述粒子的运动状 态,通过测量操作引导粒子搜索全局最优解。量子系统的不确定性决定了粒子能够以一定的概率出现在整个可行域内,克服了粒子群优化算法因为粒子速度的限制, 使粒子只能限定在某个局部区域的问题。(Quantum particle swarm optimization (QPSO) algorithm is based on the principle of quantum mechanics. The wave function is use
MOQPSO(simple function)
- 本代码是量子粒子群算法的一个改进,基于多次塌陷和正交交叉(The code is an improvement of quantum particle swarm optimization based on multiple collapse and orthogonal crossover)
LinearAlgebra
- 矩阵是高等代数学中的常见工具,也常见于统计分析等应用数学学科中。[2] 在物理学中,矩阵于电路学、力学、光学和量子物理中都有应用;计算机科学中,三维动画制作也需要用到矩阵。(Matrix is a common tool in higher algebra, and it is also common in Applied Mathematics, such as statistical analysis. [2] is applied in physics, including matrix
求函数最优值
- 量子遗传算法求解函数最佳值问题,里面富有matlab程序代码(Quantum Genetic Algorithm Solves Function Optimal Value Problem with Matlab Program Code)
程序
- 量子粒子群算法用于优化算法,可求得最优解(An optimization algorithm)
qpso
- 量子粒子群算法:因为粒子的位置和速度在量子空间中不能一起确定,所以用波函数表示粒子位置,通过蒙特卡罗方法求出粒子位置。gbest求解通过平均最好位置mbest得到。mbest是所有个体平均最优,通过它来求解粒子出现在相对点的位置,用L表示。而粒子的势表示位置的最终值,与L直接相关。(Quantum particle swarm optimization (QPSO): because the position and velocity of the particle can not be det
IQGA(改进的量子遗传算法)
- IQGA(改进的量子遗传算法Matlab程序)(IQGA (Improved Quantum Genetic Algorithms))
QACO
- 量子蚁群优化算法,用于求解复杂优化问题~(Quantum ant colony optimization algorithm for solving complex optimization problems~)
量子行为的粒子群算法-SVM
- 改进量子粒子群算法,用于优化支持向量机参数,用IRIS数据验证(An improved quantum particle swarm optimization (QPSO) algorithm is used to optimize the parameters of support vector machine (SVM), which is validated by IRIS data.)
Desktop
- matlab下的量子粒子群算法源代码,添加算例即可运行(Source code of quantum particle swarm optimization in MATLAB)