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Detail Parameter Settings / Default Setting

Extra parameters of listed methods other than population size / number of solutions and maximum number of iterations

Bat Algorithm (BA)

  • BA contains 6 extra parameters
fmax   = 2      # maximum frequency
fmin   = 0      # minimum frequency
alpha  = 0.9    # constant
gamma  = 0.9    # constant
A      = 2      # maximum loudness
r      = 1      # maximum pulse rate
opts = {'k':k, 'fold':fold, 'N':N, 'T':T, 'fmax':fmax, 'fmin':fmin, 'alpha':alpha, 'gamma':gamma, 'A':A, 'r':r}

Cuckoo Search (CS)

  • CS contains 1 extra parameter
Pa  = 0.25   # discovery rate
opts = {'k':k, 'fold':fold, 'N':N, 'T':T, 'Pa':Pa}

Differential Evolution (DE)

  • DE contains 2 extra parameters
CR = 0.9    # crossover rate
F  = 0.5    # constant factor
opts = {'k':k, 'fold':fold, 'N':N, 'T':T, 'CR':CR, 'F':F}

Firefly Algorithm (FA)

  • FA contains 4 extra parameters
alpha  = 1       # constant
beta0  = 1       # light amplitude
gamma  = 1       # absorbtion coefficient
theta  = 0.97    # control alpha
opts = {'k':k, 'fold':fold, 'N':N, 'T':T, 'alpha':alpha, 'beta0':beta0, 'gamma':gamma, 'theta':theta}

Flower Pollination Algorithm (FPA)

  • FPA contains 1 extra parameter
P  = 0.8      # switch probability
opts = {'k':k, 'fold':fold, 'N':N, 'T':T, 'P':P}

Genetic Algorithm (GA)

  • GA contains 2 extra parameters
CR  = 0.8      # crossover rate
MR  = 0.01     # mutation rate
opts = {'k':k, 'fold':fold, 'N':N, 'T':T, 'CR':CR, 'MR':MR}

Particle Swarm Optimization (PSO)

  • PSO contains 3 extra parameters
c1  = 2         # cognitive factor
c2  = 2         # social factor 
w   = 0.9       # inertia weight
opts = {'k':k, 'fold':fold, 'N':N, 'T':T, 'w':w, 'c1':c1, 'c2':c2}

Sine Cosine Algorithm (SCA)

  • SCA contains 1 extra parameter
alpha  = 2    # constant
opts = {'k':k, 'fold':fold, 'N':N, 'T':T, 'alpha':alpha}

Whale Optimization Algorithm (WOA)

  • WOA contains 1 extra parameter
b  = 1    # constant
opts = {'k':k, 'fold':fold, 'N':N, 'T':T, 'b':b}