Differential Evolution#
See Differential Evolution for information on differential evolution.
- minimisers.DE.deopt(fname, problem, controls, S_struct)#
Minimise a user-supplied function with the differential evolution algorithm.
- Parameters:
fname (
string) – string naming a function to minimise.problem (
struct) – the Project struct.controls (
struct) – the Controls struct.S_struct (
struct) – problem data vector (data and controls).
- Returns:
FVr_bestmem (vector) – a vector of the best parameter values.
problem (struct) – the Project struct.
- minimisers.DE.leftWin(S_x, S_y)#
Compare the objective function for two DE candidate points.
- Parameters:
S_x (
struct) – The two points to compare.S_y (
struct) – The two points to compare.
- Returns:
I_z – Whether S_x has a lower objective function value than S_y.
- Return type:
bool
- minimisers.DE.runDE(problemStruct, controls)#
Run the differential evolution algorithm for a given problem and controls.
- Parameters:
problemStruct (
struct) – the Project struct.controls (
struct) – the Controls struct.
- Returns:
problemStruct (struct) – the output project struct.
result (struct) – the calculation and optimisation results object.