RETRACTED: Modified hybrid algorithm for process optimization

A New Method of particle swarm optimization approach for tuning PID controller

“…For DE, the crossover constant CR = 0.9 and the scale factor F = 0.8. In the case of GA, roulette wheel selection operator, single point crossover and adaptive mutation were employed [43,44]. To reduce statistical errors, each test is repeated 50 times independently.…”

“…many evolutionary computation methods such as genetic algorithm (GA), differential evolution (DE) and particle swarm optimization (PSO) have been employed to tune PID controller in various plants [2][3][4][5][6][7].However, the simplicity of PSO (i.e. it is straight forward and has less parameters to be tuned) and its low computational cost with high performance make it commonly used in the industrial applications [43]. PSO is an evolutionary computation technique proposed by Kennedy and Eberhart in [8].The original intent of PSO is to simulate the social interaction behavior of birds flocking.…”