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Table 3 Parameters used for PSO, DE and IWO algorithm

From: Optimal design of proportional–integral controllers for stand-alone solid oxide fuel cell power plant using differential evolution algorithm

Parameter PSO DE IWO
Maximum population size 100 100 100
Maximum number of generations 2000 2000 2000
Stopping criteria (number of consecutive iterations with same value of objective function) 50 50 50
c1, cognitive acceleration coefficient 2
c2, social acceleration coefficient 0.01
MF, mutation factor 0.9
CR, crossover probability 0.2
Initial size of population 25
Maximum deviation, sdmax 5
Minimum deviation, sdmin 0
Nonlinear modulation index, n 2
Sigma_initial 1
Sigma_final 0.001