Table 1. Parameters and criteria used in the GP algorithm.

Parameters	Value or criterion
Population size	500
Number of generations	50
Recombination probability	0.9
Mutation probability	0.1
Elitism	Keep the best
Function set	cos(), sin(), +, −, *, /, ab, ln(), exp()
Terminal set	Variables: C0, t; Constants: 1, 5, 10, 100, 1000
Initial population	Ramped-Half-and-Half
Tree depth limit	28
Selection method	Tournament
Fitness function	Jackknife Mean Square Error (MSEJK). See Eq (2)