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. Author manuscript; available in PMC: 2022 Jun 2.
Published in final edited form as: Algorithms. 2022 Jan 28;15(2):45. doi: 10.3390/a15020045

Table 1.

Name and description of all hyperparameters used in the algorithm.

Hyperparameter Description
chromosomes Number of chromosomes
probb Initial probability of blending (pb)
factorb Multiplicative factor for modifying pb
maxb Maximum value of pb
iterb Number of iterations with no improvement before modifying pb
probc Initial probability of crossover (pc)
factorc Multiplicative factor for modifying pc
minc Minimum value of pc
iterc Number of iterations with no improvement before modifying pc
probm Initial probability of blending (pm)
factorm Multiplicative factor for modifying pm
minm Minimum value of pm
iterm Number of iterations with no improvement before modifying pm
sigma Initial value of standard deviation σ of ε for mutation operator
factors Multiplicative factor for modifying σ
mins Minimum value of σ
iters Number of iterations with no improvement before modifying σ
max_iter Maximum number of iterations to run algorithm
min_improve Minimum decrease in value of objective function considered an improvement
min_dev Acceptable value of objective function for stopping algorithm
reintroduce Type of chromosome to be reintroduced
iterr Number of iterations with no improvement before reintroducing chromosome