b6e6rl¶
Global minimization with box constrains by differential evolution with competitive control-parameter setting
Syntax¶
[x_star, fn_star, func_evals, success, func_near, nrst, cni] =
b6e6rl(fn_name, a, b, N, my_eps, max_evals, f_near, n0, delta, shift)
Description¶
This function returns the coordinate of the point with minimal objective
function value found by the search process in x_star. The minimal objective
function value is in fn_star.
func_evals is number of function evaluations in search process,
func_near is number of function evaluations performed until the minimal
objective value in population is less than f_near,
(see description of algorithms).
fn_name: | is the string with the name of function |
|---|---|
a, b: | are lower und upper bounds of the search space, row vectors of the same length, their length is equal to the search space dimension |
my_eps, max_evals: | |
| are used for stopping condition (see description of algorithms) | |
N: | the size of population |
n0, delta: | control the competition of settings (see description of algorithms) |
The other parameters are described in the source codes.