搜索资源列表
单纯形和人口迁移的混合全局优化算法
- 摘要：针对基本人口迁移算法具有易早熟和精度不高等缺陷，利用人口迁移算法随机产生的点采用单纯形法进行优化，提出了 一种基于单纯形法和人口迁移算法的混合全局优化算法。通过典型的测试函数Shaffer，验证了改进后算法的性能，并与10 种类型 的粒子群优化算法进行比较，结果表明，该文算法能获得比较好的解，收敛成功率高达100%。
pso-clustering
- 基于粒子群的改进K均值聚类算法源代码。适用于MATLAB7.1。-Improved PSO-based K means clustering algorithm source code. For MATLAB7.1.
PSO
- 改进粒子群聚类,通过粒子群寻优算法完成聚类过程，提高聚类精度。-improved pos
Matlab_Particle_Swarm_Optimization
- 这个程序就是最基本的粒子群优化算法程序，用Matlab实现，非常简单。只有几十行代码。正所谓一分钱一分货啊，优化效果不总是令人满意。我还有几个改进的粒子群优化算法版本，这一段时间会陆续发上来。-This procedure is the most basic particle swarm optimization procedures, using Matlab to achieve, is very simple. Only a few dozen lines of code. Penny a
ahp-java
- 粒子群算法的JAVA 程序，改进的JAVA程序-pso_java
PSO_for_function_optimization
- 用于连续函数优化的PSO（粒子群）算法,可以根据其进行算法改进，好东东！-PSO Algorithm for general function optimization
GTPSO
- 提出一种改进的粒子群优化算法———基于全局劣汰策略的混合粒子群优化算法(GTPSO) 。GTPSO在 保持PSO算法快速收敛的基础上,以郭涛算法(GuoA)的寻优机制确保种群的多样性和算法的坚韧性。数值计 算结果表明,对于高维(维数≥10)复杂非凸多峰函数的数值优化问题, GTPSO算法的计算结果均优于GuoA算 法和粒子群优化算法。-An improved particle swarm optimization algorithm--- poor overall survival
25811218DPSO
- 标准粒子群算法，最近改进的粒子群算法，大家应该能用上-The standard particle swarm algorithm, recently improved particle swarm algorithm, we should can be used on the
20090316082518135
- 采用改进的粒子群算法解决生产优化中的问题 -Particle Swarm Optimization algorithm to solve the production
LinWPSO
- 权重改进的粒子群算法（线性递减权重法），让惯性权重从最大值线性减小到最小值-Weights to improve particle swarm optimization (linear decreasing weight method), so that inertia weight decreases linearly from maximum to minimum
2010-03-17_Balanced_PSO
- 改进的粒子群算法，增强局部搜索与全局优化能力-Improved particle swarm optimization, enhance the ability of local search and global optimization
IDPSOforICME04
- 改进的粒子群对图像的codebook快速矢量最优化-Improved the image of the codebook particle swarm optimization Fast Vector
path-planning
- 本人精心收藏的资料，该资料对粒子群算法改进的，值得借鉴。分享给大家-I am careful collection of data, the information on the particle swarm algorithm improvement, and worth learning from. We share
Modified-Particle-Swarm-Optimization
- 目前各类粒子群算法的应用、改进、参数设置方法-At present the application of various types of particle swarm optimization, improvement, parameter setting method
PSO
- 带有收缩因子和惯性权重的基本PSO粒子群算法源代码。本源代码模块化编写，结构清晰，便于改进和做数值实验 -With the shrinkage factor and the basic PSO inertia weight particle swarm algorithm source code. Modular source code written in a clear structure, easy to improve and to do numerical experiments
Optimal-design-of-PID-parameter
- 研究基于粒子群算法控制系统PID参数优化设计方法以及对PID控制的改进。- study the optimal design of PID parameter of the control system based on Particle Swarm Optimization and find a way to improve the PID control.
GOLDSTEIN
- Matlab有关改进的PSO算法程序基于三种惯性参数改进的粒子群算法程序,并使用测试函数Goldstein进行结果比较-Matlab program for improving the PSO algorithm is based on three inertial parameters improved particle swarm optimization program and use the results of the test functions were compared Gold
psoeld
- 改进的粒子群算法，计算电力系统经济调度问题-Improved particle swarm algorithm, computational power system economic dispatch
GSO_code
- 介绍粒子群算法的一种改进算法的实现代码，具有很大的参考意义。-Introduce particle swarm algorithm is an improved algorithm implemented code, is of great referential significance.
psooptimiton
- 粒子群求解无约束优化问题，包括基本粒子群算法，改进的粒子群算法，还有基于自然选择的粒子群算法和模拟退火的粒子群算法-Swarm for unconstrained optimization problems, including particle swarm algorithm, the improved particle swarm optimization, as well as natural selection based on PSO and simulated annealing p