搜索资源列表
quantumgeneticalgorithm.rar
- 一种带量子门的改进的遗传算法matlab源程序。,A quantum gate with improved genetic algorithm matlab source.
QGAforfun.rar
- 量子遗传算法对标准函数的优化，在matlab下的源程序,Quantum genetic algorithm optimization of the standard function in matlab source code under the
QEAsolvePackage
- 最近两年比较流行的量子进化算法（QEA），能够求解一般的优化问题。算例是一个典型的背包问题（离散二值问题）。-The more popular the last two years the quantum evolutionary algorithm (QEA), be able to solve the general optimization problems. An example is a typical knapsack problem (discrete binary problem
QEAsolveOptimization
- 最近两年流行的量子进化算法程序，能够优化一下基本的问题，本程序是基于一个连续的极值问题。-The last two years the popular quantum-inspired evolutionary algorithm process, to optimize the basic questions about this program is based on a continuous extremal problem.
QPSO1
- QoS路由组播问题的QPSO（Quantum-behaved Paricle Swarm Optimization）算法 量子粒子群优化算法 可应用于路由组播模型等-Quantum-behaved Paricle Swarm Optimization Algorithms based on Multicast Routing Issues
1111
- 量子进化算法和免疫算法都是解决优化问题的强有力算法。在分析了量子进化算法搜索的特点和免疫算法的机理基础上，对它们进行比较，阐明了二者的不同特点-Quantum-inspired evolutionary algorithms and immune algorithms are a powerful algorithm to solve optimization problems. After analyzing the characteristics of the quantum evoluti
1_5_1
- 基于量子遗传算法的倒立摆模糊控制器参数优化仿真程序-Quantum genetic algorithm based fuzzy controller for inverted pendulum simulation program optimization
liangzijinhua
- 量子进化算法，可用于非线性方程的优化等。经实验证明，程序可靠。-Quantum evolutionary algorithm, can be used for optimization of nonlinear equations. The experiment proved that the program is reliable.
Baseleath
- 基于量子遗传算法的无线传感器网络路径优化Based on quantum genetic algorithm optimization of wireless sensor network path-Based on quantum genetic algorithm optimization of wireless sensor network path
qpso
- 采用基于量子粒子群算法来计算电力系统无功优化-Based on the quantum particle swarm algorithm to compute reactive power optimization
QPSO
- 量子粒子群优化算法，采用matlab编程，可实现快速优化多维函数，不易陷入局部最优值-Quantum particle swarm optimization algorithm, using matlab programming, multi-dimensional functions can be optimized for fast, easy to fall into local optimal value
matlab
- 探讨了经典的粒子群优化算法，在此基础上，提出了量子粒子群算法（QPSO），该算法具有高效的全局搜索能力-Of the classical particle swarm optimization, on this basis, proposed a quantum particle swarm optimization (QPSO), the algorithm is efficient global search capability
liangzijisuan
- 量子计算与量子优化算法的部分程序，感兴趣的可以下载学习-Quantum computing and quantum optimization algorithm part of the program interested you can download to learn ~ ~
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
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
matlab编写的量子遗传算法
- 量子遗传算法的matlab程序，用于解决优化问题(The matlab program of quantum genetic algorithm is used to solve optimization problems)
[8370301]量子优化算法源码打包
- 量子粒子群算法合集，送给有需要的人，相互合作，共同进步(Quantum particle swarm optimization algorithm, to the people in need, cooperation and progress together)
带交叉算子的量子粒子群优化算法
- 带交叉算子的量子粒子群优化算法~~~~~~~~~~(Quantum Particle Swarm Optimization with Crossover Operator)
适用量子粒子群算法
- 适用量子粒子群算法获得所需的最优值，可以依概率收敛到全局最优，能有效求解复杂优化问题(Quantum Particle Swarm Optimization (QPSO) can be applied to obtain the desired optimal value, which can converge to the global optimum according to probability, and can effectively solve complex optimizatio
量子遗传算法
- 用于优化二维结构模型阻尼器参数，减小结构动力响应