搜索资源列表
simulation
- MATLAB语言程序,利用粒子群算法寻找目标函数的极小值,可移植,比较好用(search for the minumn point of objective function)
改进遗传算法
- 改进的遗传算法,求解路径寻优的问题,加快了寻找全局最优解的速度(The improved genetic algorithm solves the problem of path optimization and accelerates the speed of finding the global optimal solution)
改进的禁忌搜索算法
- 改进的禁忌搜索算法,求解路径寻优问题,相对传统的遗传算法,能够更精确求得全局最优解(Compared with the traditional genetic algorithm, the improved tabu search algorithm can solve the problem of path optimization, and can obtain the global optimal solution more ac
布谷鸟算法
- 初学最优化算法可以下载看一看,有算法例程,多篇中文文献,讲解详细。值得下载。(Beginner optimization algorithm, you can download a look, there are algorithms routines, a number of Chinese literature, to explain in detail. Worth downloading.)
PSO寻优 论文采用
- 验证基于DPSO 算法的合作感知调度方案在各个LN 的网络特征不同 的异构CRNMLNS 中也能获得同样的性能(CRNMLNS, a cooperative sensing scheduling scheme based on discrete particle swarm optimization (DPSO) algorithm was proposed)
粒子群优化算法的寻优算法——非线性函数极值寻优
- 粒子群优化算法 一种经典的启发式算法(Particle swarm optimization algorithm, a classic heuristic algorithm)
遗传算法1 - 副本
- 主要是通过遗产算法来寻优,通过实际模型与所建立的模型的误差来建立最好的模型,当误差满足所给定的范围,寻优结束。(Through the inheritance algorithm to find the best, through the actual model and the error of the established model to establish the best model, when the error to m
powerflowcalcut
- 基于遗传算法和非线性规划寻优混合算法的电力系统最优潮流计算(Optimal power flow calculation of power system based on hybrid algorithm of genetic algorithm and nonlinear programming optimization)
基于matlab多种群粒子群算法求解多目标优化问题
- 本代码主要是matlab源代码,介绍了一种通多种群粒子群算法求解多目标优化问题,这是本人毕业设计的内容,源代码附有相关说明,且运行没有问题,大家可以参考(This code is mainly matlab source code, introduced a variety of particle swarm optimization algorithm to solve multi-objective optimization pro
A_starsuanfa
- 启发式策略最短路径寻优算法——A*算法,(The A* algorithm of the shortest path between two points in a directed graph)
禁忌算法 C++
- 禁忌搜索算法是一种全局性邻域搜索算法,模拟人类具有记忆功能的寻优特征。它通过局部邻域搜索机制和相应的禁忌准则来避免迂回搜索,并通过破禁水平来释放一些被禁忌的优良状态,进而保证多样化的有效探索,以最终实现全局优化(Tabu search algorithm)
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- 1.PSO算法 2.%?仿真一个串级系统,并计算出绝对误差矩积分,用PSO算法对PI控制器寻优(1.PSO algorithm 2%, simulate a cascade system, calculate the absolute error moment integral, and use the PSO algorithm to optimize the PI controller.)
Particle Swarm Optimization
- 优化算法的一种,粒子群寻优算法。它的基本核心是利用群体中的个体对信息的共享从而使得整个群体的运动在问题求解空间中产生从无序到有序的演化过程,从而获得问题的最优解。(a kind smart mathema algorithm____Particle Swarm Optimization)
PSO_written_with_java
- 粒子群算法,采用java编写,适合需要使用java作为编写算法工具的开发人员。(Particle swarm optimization algorithm, written in Java, is suitable for developers who need to use Java as an algorithm tool.)
改进粒子群算法example
- 改进的粒子群算法源代码,可以对多元目标函数进行寻优计算。(Improved source code for particle swarm optimization)
FEO
- 运行matlab平台,烟花寻优算法,自己编的(Operation of MATLAB platform and optimization algorithm for fireworks)
一些优化算法论文附其程序
- 针对例如SVM等智能算法的参数寻优采用自适应的参数优化(Parameter optimization for intelligent algorithm)
SA模拟退火
- 模拟退火算法寻优支持向量机C和g,实现识别分类。(Simulated Annealing Optimizes Support Vector Machines C and G for Classification)
源代码
- 1 基于遗传算法的TSP算法(王辉) 2 基于遗传算法和非线性规划的函数寻优算法(史峰) 3 基于遗传算法的BP神经网络优化算法(王辉) 4 设菲尔德大学的MATLAB遗传算法工具箱(王辉) 5 基于遗传算法的LQR控制优化算法(胡斐)(1 TSP algorithm based on genetic algorithm (Wang Hui) 2 Function optimization algorithm base
基于遗传算法优化BP神经网络的非线性预测
- 针对BP神经网络的初始权值和阈值是随机选取的弊端,采用遗传算法寻优BP的初始权值和阈值,然后进行BP训练和测试。遗传算法包括编码 选择 交叉 和变异等操作(Aiming at the disadvantage that the initial weights and thresholds of BP neural network are randomly selected, genetic algorithm is used to op