# encoding=utf8
import logging
# from numpy import random as rand, argmin, argmax, mean, asarray, cos
# from NiaPy.algorithms.algorithm import Individual
from NiaPy.algorithms.basic.de import DifferentialEvolution # , CrossBest1, CrossRand1, CrossCurr2Best1, CrossBest2, CrossCurr2Rand1, proportional
logging.basicConfig()
logger = logging.getLogger('NiaPy.algorithms.modified')
logger.setLevel('INFO')
__all__ = [
'StrategyAdaptationDifferentialEvolution',
'StrategyAdaptationDifferentialEvolutionV1'
]
[docs]class StrategyAdaptationDifferentialEvolution(DifferentialEvolution):
r"""Implementation of Differential Evolution Algorithm With Strategy Adaptation algorihtm.
Algorithm:
Differential Evolution Algorithm With StrategyAdaptation
Date:
2019
Author:
Klemen Berkovič
License:
MIT
Reference URL:
https://ieeexplore.ieee.org/document/1554904
Reference paper:
Qin, A. Kai, and Ponnuthurai N. Suganthan. "Self-adaptive differential evolution algorithm for numerical optimization." 2005 IEEE congress on evolutionary computation. Vol. 2. IEEE, 2005.
Attributes:
Name (List[str]): List of strings representing algorithm name.
See Also:
:class:`NiaPy.algorithms.basic.DifferentialEvolution`
"""
Name = ['StrategyAdaptationDifferentialEvolution', 'SADE', 'SaDE']
[docs] @staticmethod
def algorithmInfo():
r"""Get basic information about the algorithm.
Returns:
str: Basic information.
See Also:
:func:`NiaPy.algorithms.algorithm.Algorithm.algorithmInfo`
"""
return r"""Qin, A. Kai, and Ponnuthurai N. Suganthan. "Self-adaptive differential evolution algorithm for numerical optimization." 2005 IEEE congress on evolutionary computation. Vol. 2. IEEE, 2005."""
[docs] def setParameters(self, **kwargs):
DifferentialEvolution.setParameters(self, **kwargs)
# TODO add parameters of the algorithm
[docs] def getParameters(self):
d = DifferentialEvolution.getParameters(self)
# TODO add paramters values
return d
[docs] def runIteration(self, task, pop, fpop, xb, fxb, **dparams):
# TODO implemnt algorithm
return pop, fpop, xb, fxb, dparams
[docs]class StrategyAdaptationDifferentialEvolutionV1(DifferentialEvolution):
r"""Implementation of Differential Evolution Algorithm With Strategy Adaptation algorihtm.
Algorithm:
Differential Evolution Algorithm With StrategyAdaptation
Date:
2019
Author:
Klemen Berkovič
License:
MIT
Reference URL:
https://ieeexplore.ieee.org/document/4632146
Reference paper:
Qin, A. Kai, Vicky Ling Huang, and Ponnuthurai N. Suganthan. "Differential evolution algorithm with strategy adaptation for global numerical optimization." IEEE transactions on Evolutionary Computation 13.2 (2009): 398-417.
Attributes:
Name (List[str]): List of strings representing algorithm name.
See Also:
:class:`NiaPy.algorithms.basic.DifferentialEvolution`
"""
Name = ['StrategyAdaptationDifferentialEvolutionV1', 'SADEV1', 'SaDEV1']
[docs] @staticmethod
def algorithmInfo():
r"""Get basic information about the algorithm.
Returns:
str: Basic information.
See Also:
:func:`NiaPy.algorithms.algorithm.Algorithm.algorithmInfo`
"""
return r"""Qin, A. Kai, Vicky Ling Huang, and Ponnuthurai N. Suganthan. "Differential evolution algorithm with strategy adaptation for global numerical optimization." IEEE transactions on Evolutionary Computation 13.2 (2009): 398-417."""
[docs] def setParameters(self, **kwargs):
DifferentialEvolution.setParameters(self, **kwargs)
# TODO add parameters of the algorithm
[docs] def getParameters(self):
d = DifferentialEvolution.getParameters(self)
# TODO add paramters values
return d
[docs] def runIteration(self, task, pop, fpop, xb, fxb, **dparams):
# TODO implement algorithm
return pop, fpop, xb, fxb, dparams
# vim: tabstop=3 noexpandtab shiftwidth=3 softtabstop=3
