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Performance-comparison-of-G-A--Pso-and-He-in-beam
- Performance comparison of Genetic Algorithm, Particle swarm optimization and Hybrid evolutionary algorithm in beamforming
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
A1
- Matlab code for simulation of PSO (Particle Swarm Optimization)