搜索资源列表
SA_GA_PSO
- 模拟退火(SA)、遗传算法(GA)、粒子群优化(PSO)解决旅行商问题(TSP)实验 本文件包括源码,实验说明文档,实验总结PPT Have a happy experiment!-Simulated annealing (SA), genetic algorithms (GA), particle swarm optimization (PSO) to solve the traveling salesman problem (TSP) experiment of this docum
The-Multi-user-Detection-ALGORITHM
- 联合智能(JI-MUD)多用户检测算法是由粒子群优化(PSO)算法,遗传算法(GA)和模拟退火(SA)算法-the joint intelligent multi-user detection (JI-MUD) algorithm which was composed by particle swarm optimization (PSO) algorithm, genetic algorithm (GA) and simulated annealing (SA) algorithm was p
sso_simple
- simplified swarm optimization的matlab版本,可以節省寫程式的時間。本程演算法已驗證可以在某些問題上找到比pso、ga、sa、ts、aco等演算法更好的解。-simplified swarm optimization in matlab version, you can write a program to save time. The scheduling algorithm has been verified can find better than pso,
tsp
- SA、GA、PSO解决TSP问题的C++源代码-SA, GA, PSO to solve the TSP problem. C++
COR(v1.1)
- 资源竞争算法,此算法经过测算由于PSO、GA、SA等等,可以快速有效的优化。- Competition Over Resource Optimization Algorithm,
神经网络入门13课源码
- 神经网络入门13课源码 第一课 MATLAB入门基础 第二课 MATLAB进阶与提高 第三课 BP神经网络 第四课 RBF、GRNN和PNN神经网络 第五课 竞争神经网络与SOM神经网络 第六课 支持向量机( Support Vector Machine, SVM ) 第七课 极限学习机( Extreme Learning Machine, ELM ) 第八课 决策树与随机森林 第九课 遗传算法( Genetic Algorithm, GA ) 第十课 粒子群优化( Part
启发式算法
- 基础的启发式算法样例,ACA,GA,PSO,SA(Example of basic heuristic algorithm)
SA
- SA GA PSO等算法及改进的算法,以及Griewank 函数的matlab代码(SA GA PSO algorithm and improved algorithm, as well as the matlab code of Griewank function)