Usage

To use pyJaya:

from pyJaya.variants.clasic import JayaClasic
from pyJaya.variables import VariableFloat


def himmelblau(solution):
    """Himmelblau function

    Args:
        solution (Solution): Candidate solution

    Returns:
        float: Himmelblau function value
    """
    return (
        solution[0] ** 2 + solution[1] - 11) ** 2 +\
            (solution[0] + solution[1] ** 2 - 7) ** 2


def himmelblauConstraintOne(solution):
    """First restriction

    Args:
        solution (Solution): Candidate solution

    Returns:
        bool: True if it meets the constraint, False otherwise
    """
    return (26 - (solution[0] - 5) ** 2 - solution[1] ** 2) >= 0


def himmelblauConstraintTwo(solution):
    """Second restriction

    Args:
        solution (Solution): Candidate solution

    Returns:
        bool: True if it meets the constraint, False otherwise
    """
    return (20 - 4 * solution[0] - solution[1]) >= 0

print("RUN: JayaClasic")
# Two variables in the range [-6.0, 6.0]
listVars = [VariableFloat(-6.0, 6.0) for i in range(2)]
# JayaClasic with initial population of 100 solutions and two constrains.
ja = JayaClasic(
    100, listVars, himmelblau,
    listConstraints=[himmelblauConstraintOne, himmelblauConstraintTwo])
# Execution of 100 iterations and obtaining better and worse solution
print(ja.run(100).getBestAndWorst())