Table 1.

Simulation study hyperparameters

Hyperparameter	Value	Description
chromosomes	21	Number of chromosomes
probb	0.01	Initial probability of blending ($p_b$)
factorb	2	Multiplicative factor for modifying $p_b$
maxb	0.2	Maximum value of $p_b$
iterb	1000	Number of iterations with no improvement before modifying $p_b$
probc	0.2	Initial probability of crossover ($p_c$)
factorc	0.5	Multiplicative factor for modifying $p_c$
minc	0	Minimum value of $p_c$
iterc	1000	Number of iterations with no improvement before modifying $p_c$
probm	0.2	Initial probability of blending ($p_m$)
factorm	0.5	Multiplicative factor for modifying $p_m$
minm	0.01	Minimum value of $p_m$
iterm	1000	Number of iterations with no improvement before modifying $p_m$
sigma	1	Initial value of standard deviation $\sigma$ of error for mutation operator
factors	0.5	Multiplicative factor for modifying $\sigma$
mins	0.001	Minimum value of $\sigma$
iters	2000	Number of iterations with no improvement before modifying $\sigma$
max_iter	1E6	Maximum number of iterations to run algorithm
min_improve	0	Minimum decrease in value of objective function considered an improvement
min_dev	0	Acceptable value of objective function for stopping algorithm
reintroduce	“elite”	type of chromosome to be reintroduced
iterr	2500	Number of iterations with no improvement before reintroducing chromosome

The table gives the name of each hyperparameter in the software developed to implement the new genetic algorithm, the value used for the simulation study and data analysis in the paper, and a description of the hyperparameter