Performance comparison of Genetic Algorithm, Particle swarm optimization and Hybrid evolutionary algorithm in beamforming

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

Genetic algorithm based reactive power optimization, Thermonuclear using weighting factors It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle.