heuristic_crossover

x_i_new, of_i_new, fit_i_new, neof, report = heuristic_crossover(of_function, parent_0, parent_1, n_dimensions, x_upper, x_lower, none_variable=None)

This function performs the heuristic crossover operator. Two new points are generated from the two parent points (offspring).

Input variables

Name	Description	Type
of_function	Objective function	Py function (def)
parent_0	Current design variables of the first parent	List
parent_1	Current design variables of the second parent	List
n_dimensions	Problem dimension	Integer
x_upper	Upper limit of the design variables	List
x_lower	Lower limit of the design variables	List
none_variable	None variable. Default is None. Use in objective function	None, List, Float, Dictionary, String or any

Output variables

Name	Description	Type
x_i_new	Update variables of the i agent	L'ist
of_i_new	Update objective function value of the i agent	Float
fit_i_new	Update fitness value of the i agent	Float
neof	New solution indicator. It is a Boolean value (1 to indicate a new solution)	Integer
report	Report about the male movement process	String

Example 1

from metapy_toolbox import heuristic_crossover

# Data
father1 = [1.8, 1.9, 3.0, 4.1, 4.5]
father2 = [2.7, 4.6, 2.7, 3.5, 3.7]
nDimensions = len(father1)
xUpper = [5, 5, 5, 5, 5]
xLower = [1, 1, 1, 1, 1]
noneVariable = None

# Objective function
def objFunction(x, _):
    """Example objective function"""
    x0 = x[0]
    x1 = x[1]
    of = x0 ** 2 + x1 ** 2
    return of

# Call function
xNew, ofNew, fitNew, neof, report = heuristic_crossover(objFunction, father1, father2, nDimensions, xUpper, xLower, noneVariable)

# Output details
print('x new ', xNew)
print('of new ', ofNew)
print('fit new', fitNew)
print('number of evalutions objective function', neof)

x new  [1.437692380167753, 1.7086497918174648, 3.2232816656355117, 4.536070168960613, 5.0]
of new  4.986443491070284
fit new 0.167044089114289
number of evalutions objective function 2

To check the movement report just apply the following instruction.

# Report details
arq = "report_example.txt"

# Writing report
with open(arq, "w") as file:
    file.write(report)

Open report_example.txt.

    Crossover operator - Heuristic crossover
    current p0 = [1, 1, 1, 1, 1]
    current p1 = [10, 10, 10, 10, 10]
    random number = 0.7812494156747201
    neighbor_a = -6.031244741072481, neighbor_b = 17.03124474107248
    random number = 0.11545651624084319
    neighbor_a = -0.03910864616758869, neighbor_b = 11.03910864616759
    random number = 0.9377837297687475
    neighbor_a = -7.440053567918728, neighbor_b = 18.440053567918728
    random number = 0.3386905662828823
    neighbor_a = -2.048215096545941, neighbor_b = 13.048215096545942
    random number = 0.37050392454406256
    neighbor_a = -2.334535320896563, neighbor_b = 13.334535320896563
    offspring a = [1.0, 1.0, 1.0, 1.0, 1.0], of_a = 5.0
    offspring b = [10.0, 10.0, 10.0, 10.0, 10.0], of_b = 50.0
    update pos = [1.0, 1.0, 1.0, 1.0, 1.0], of = 5.0, fit = 0.16666666666666666