搜索资源列表
95302950PSOBP
- 这是另外一种粒子群优化BP网络进行寻优的智能程序，需要的同学可以参考一下。(This is another kind of particle swarm optimization, BP network optimization of intelligent procedures, the students need to refer to.)
PSO
- 用MATLAB编写的PSO粒子群法程序，程序利用PSO算法实现函数自动寻优问题(Written in PSO particle swarm MATLAB procedures)
PSO&GA
- 本文件对PID参数kp,ki,kd进行寻优，以ITAE作为指标函数。 PSO 文件中有详细的参数设置和寻优过程 GA寻优与PSO寻优作为对比出现 figure1展示了随着迭代次数的变化，适应度函数的收敛情况 figure2展示了kp,ki,kd的迭代情况 ht 文件是用来画图的 问题解决思路.pdf 简要介绍了粒子群算法寻优的过程(In this document, the PID parameters KP, Ki, KD are optimized, and ITAE is us
粒子群优化算法的寻优算法
- In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. It solves a problem by having a population of c
PSO
- 粒子群搜索算法的一个简单的仿真程序的编写。根据PSO算法原理，在MATLAB中编程实现基于PSO算法的函数极值寻优算法。(A simple simulation program of particle swarm search algorithm. According to the principle of PSO algorithm, based on PSO algorithm, a function extreme optimization algorithm based on PSO a
PSOsuanfa
- 该代码为基于变异粒子群算法的函数极值寻优算法，选择合适的参数，通过迭代寻优，最后得到最优个体的适应度(This code is a function extremum optimization algorithm based on the mutation particle swarm optimization algorithm, selects the appropriate parameters, and obtains the optimal individual fitness by
ypea127-particle-swarm-optimization
- 利用基于种群的PSO粒子群优化算法进行结构寻优(Using PSO's Intelligent Optimization Algorithm for Structural Optimization)
chapter1
- 采用粒子群算法实现多目标的寻优，程序打开即可运行，结果很好。(Particle swarm optimization is applied to achieve multi-objective optimization, and the program is open to run, and the result is very good.)
PSO-SVM
- 将改进的粒子群算法和GA与SVM相结合，通过参数寻优构建新模型完成对空气质量指数的预测(The improved particle swarm optimization and genetic algorithm are combined with SVM. The prediction of air quality index (AQI) is completed by constructing a new model by parameter optimization.)
PSO-SVM
- 基于支持向量机负荷功率预测，使用粒子群算法进行参数寻优，供参考(Load Forecasting Based on Support Vector Machine)
BAS
- 类似于遗传算法、粒子群算法、模拟退火等智能优化算法，天牛须搜索不需要知道函数的具体形式，不需要梯度信息，就可以实现高效寻优。(Similar to genetic algorithm, particle swarm optimization algorithm, simulated annealing and other intelligent optimization algorithms, Taurus search can achieve efficient optimization wi
改进svm
- phog方法提取图像特征，svm支持向量机进行分类，分别有GA遗传算法和PSO粒子群优化算法进行寻优。(Phog method extracted image features, SVM support vector machine classification, respectively, GA genetic algorithm and PSO particle swarm optimization algorithm for optimization.)
BAS代码
- 天牛须搜索( beetle antennae search，BAS) 算法是2017 年提出的一种基于天牛觅食原理的适用于多目标函数优化的新技术，其生物原理为: 当天牛觅食时，其并不知道食物在哪里，而是根据食物气味的强弱来觅食。天牛有两只长触角，如果左边触角收到的气味强度比右边大，那下一步天牛就会向左边飞，反之则向右飞。依据这一简单原理天牛就可以有效找到食物。与遗传算法、粒子群算法等类似，BAS 不需要知道函数的具体形式以及梯度信息，就可以自动实现寻优过程，且其个体仅为一个，寻优速度显著提高。(