资源列表
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.)
readbdfdata
- 读取bdf文件,bdf类型的文件不好读，历经千辛万苦，终于找到读取的方法啦(process bdf type file)
LQG
- For the defense of the DOS CPS system, the input tracking system is realized
自适应权重的粒子群算法
- 基于混沌自适应粒子群优化支持向量机~~~~(Support Vector Machine Based on Chaotic Adaptive Particle Swarm Optimization~~)
人工蜂群算法改进版
- 改进版人工蜂群算法，实现复杂函数的有效求解！！(The improved artificial bee colony algorithm realizes the effective solution of complex functions!!)
人工蜂群算法工具箱
- 人工蜂群算法工具箱，可用于求解旅行商问题，以及多维数据极大值和极小值等问题(Artificial bee colony algorithm toolbox can be used to solve traveling salesman problem, multi-dimensional data maxima and minima and other issues!)
自适应权重的PSO
- 自适应权重的粒子群算法，实现复杂问题的有效求解(Particle Swarm Optimization with Adaptive Weight for Effective Solution of Complex Problems)
改进版蜂群算法
- 改进版蜂群算法，用于求解大规模复杂优化问题(An improved bee colony algorithm for solving large-scale complex optimization problems)
典型的多目标粒子群算法
- 典型的多目标粒子群算法，用于求解多目标优化问题(Typical multi-objective particle swarm optimization algorithm for solving multi-objective optimization problems)
动态蜂群算法源程序
- 动态蜂群算法源程序，实现复杂优化的求解~~~(Dynamic swarm algorithm source program to achieve complex optimization solution ~~~)
有限元分析源程序(f,c,ANSYS衔接)
- 有限元分析源程序(f,c,ANSYS衔接)，清华大学有限元分析原理教程，曾攀编著