NiaPy.algorithms.modified.hde.DifferentialEvolutionMTS.setParameters() - Code Metrics - Inspection of "Merge pull request #262 from lucijabrezocnik/maste..." - NiaOrg/NiaPy - Measure and Improve Code Quality continuously with Scrutinizer

Completed

Push — master ( ff5cab...a135cc )

unknown

created 2020-07-20 06:16 UTC

DifferentialEvolutionMTS.setParameters() A

↳ Parent: NiaPy.algorithms.modified.hde

Complexity

Conditions

Size

Total Lines	12
Code Lines	4

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
cc	1
eloc	4
nop	8
dl	0
loc	12
rs	10
c	0
b	0
f	0

How to fix Many Parameters

# encoding=utf8
import logging

from numpy import argsort

from NiaPy.algorithms.algorithm import Individual
from NiaPy.algorithms.basic.de import MultiStrategyDifferentialEvolution, DynNpDifferentialEvolution, DifferentialEvolution
from NiaPy.algorithms.other.mts import MTS_LS1, MTS_LS1v1, MTS_LS2, MTS_LS3, MTS_LS3v1, MultipleTrajectorySearch

logging.basicConfig()
logger = logging.getLogger('NiaPy.algorithms.modified')
logger.setLevel('INFO')

__all__ = ['DifferentialEvolutionMTS', 'DifferentialEvolutionMTSv1', 'DynNpDifferentialEvolutionMTS', 'DynNpDifferentialEvolutionMTSv1', 'MultiStrategyDifferentialEvolutionMTS', 'MultiStrategyDifferentialEvolutionMTSv1', 'DynNpMultiStrategyDifferentialEvolutionMTS', 'DynNpMultiStrategyDifferentialEvolutionMTSv1']

class MtsIndividual(Individual):
	r"""Individual for MTS local searches.

	Attributes:
		SR (numpy.ndarray): Search range.
		grade (int): Grade of individual.
		enable (bool): If enabled.
		improved (bool): If improved.

	See Also:
		:class:`NiaPy.algorithms.algorithm.Individual`
	"""
	def __init__(self, SR=None, grade=0, enable=True, improved=False, task=None, **kwargs):
		r"""Initialize the individual.

		Args:
			SR (numpy.ndarray): Search range.
			grade (Optional[int]): Grade of individual.
			enable (Optional[bool]): If enabled individual.
			improved (Optional[bool]): If individual improved.
			**kwargs (Dict[str, Any]): Additional arguments.

		See Also:
			:func:`NiaPy.algorithms.algorithm.Individual.__init__`
		"""
		Individual.__init__(self, task=task, **kwargs)
		self.grade, self.enable, self.improved = grade, enable, improved
		if SR is None and task is not None: self.SR = task.bRange / 4
		else: self.SR = SR

class DifferentialEvolutionMTS(DifferentialEvolution, MultipleTrajectorySearch):
	r"""Implementation of Differential Evolution with MTS local searches.

	Algorithm:
		Differential Evolution withm MTS local searches

	Date:
		2018

	Author:
		Klemen Berkovič

	License:
		MIT

	Attributes:
		Name (List[str]): List of strings representing algorithm names.
		LSs (Iterable[Callable[[numpy.ndarray, float, numpy.ndarray, float, bool, numpy.ndarray, Task, Dict[str, Any]], Tuple[numpy.ndarray, float, numpy.ndarray, float, bool, int, numpy.ndarray]]]): Local searches to use.
		BONUS1 (int): Bonus for improving global best solution.
		BONUS2 (int): Bonus for improving solution.
		NoLsTests (int): Number of test runs on local search algorithms.
		NoLs (int): Number of local search algorithm runs.
		NoEnabled (int): Number of best solution for testing.

	See Also:
		* :class:`NiaPy.algorithms.basic.de.DifferentialEvolution`
		* :class:`NiaPy.algorithms.other.mts.MultipleTrajectorySearch`
	"""
	Name = ['DifferentialEvolutionMTS', 'DEMTS']

	@staticmethod
	def algorithmInfo():
		r"""Get basic information about the algorithm.

		Returns:
			str: Basic information.

		See Also:
			* :func:`NiaPy.algorithms.Algorithm.algorithmInfo`
		"""
		return r"""TODO"""

	@staticmethod
	def typeParameters():
		r"""Get dictionary with functions for checking values of parameters.

		Returns:
			Dict[str, Callable]:
				* NoLsTests (Callable[[int], bool]): TODO
				* NoLs (Callable[[int], bool]): TODO
				* NoEnabled (Callable[[int], bool]): TODO

		See Also:
			:func:`NiaPy.algorithms.basic.de.DifferentialEvolution.typeParameters`
		"""
		d = DifferentialEvolution.typeParameters()
		d.update({
			'NoLsTests': lambda x: isinstance(x, int) and x >= 0,
			'NoLs': lambda x: isinstance(x, int) and x >= 0,
			'NoEnabled': lambda x: isinstance(x, int) and x > 0
		})
		return d

	def setParameters(self, NoLsTests=1, NoLs=2, NoEnabled=2, BONUS1=10, BONUS2=2, LSs=(MTS_LS1, MTS_LS2, MTS_LS3), **ukwargs):
		r"""Set the algorithm parameters.

		Arguments:
			SR (numpy.ndarray): Search range.

		See Also:
			:func:`NiaPy.algorithms.basic.de.DifferentialEvolution.setParameters`
		"""
		DifferentialEvolution.setParameters(self, itype=ukwargs.pop('itype', MtsIndividual), **ukwargs)
		self.LSs, self.NoLsTests, self.NoLs, self.NoEnabled = LSs, NoLsTests, NoLs, NoEnabled
		self.BONUS1, self.BONUS2 = BONUS1, BONUS2

	def getParameters(self):
		d = DifferentialEvolution.getParameters(self)
		# TODO add parameter values to dictionary
		return d

	def postSelection(self, X, task, xb, fxb, **kwargs):
		r"""Post selection operator.

		Args:
			X (numpy.ndarray): Current populaiton.
			task (Task): Optimization task.
			xb (numpy.ndarray): Global best individual.
			**kwargs (Dict[str, Any]): Additional arguments.

		Returns:
			Tuple[numpy.ndarray, numpy.ndarray, float]: New population.
		"""
		for x in X:
			if not x.enable: continue
			x.enable, x.grades = False, 0
			x.x, x.f, xb, fxb, k = self.GradingRun(x.x, x.f, xb, fxb, x.improved, x.SR, task)
			x.x, x.f, xb, fxb, x.improved, x.SR, x.grades = self.LsRun(k, x.x, x.f, xb, fxb, x.improved, x.SR, 0, task)
		for i in X[argsort([x.grade for x in X])[:self.NoEnabled]]: i.enable = True
		return X, xb, fxb

class DifferentialEvolutionMTSv1(DifferentialEvolutionMTS):
	r"""Implementation of Differential Evolution withm MTSv1 local searches.

	Algorithm:
		Differential Evolution withm MTSv1 local searches

	Date:
		2018

	Author:
		Klemen Berkovič

	License:
		MIT

	Attributes:
		Name (List[str]): List of strings representing algorithm name.

	See Also:
		:class:`NiaPy.algorithms.modified.DifferentialEvolutionMTS`
	"""
	Name = ['DifferentialEvolutionMTSv1', 'DEMTSv1']

	@staticmethod
	def algorithmInfo():
		r"""Get basic information about the algorithm.

		Returns:
			str: Basic information.

		See Also:
			* :func:`NiaPy.algorithms.Algorithm.algorithmInfo`
		"""
		return r"""TODO"""

	def setParameters(self, **ukwargs):
		r"""Set core parameters of DifferentialEvolutionMTSv1 algorithm.

		Args:
			**ukwargs (Dict[str, Any]): Additional arguments.

		See Also:
			:func:`NiaPy.algorithms.modified.DifferentialEvolutionMTS.setParameters`
		"""
		DifferentialEvolutionMTS.setParameters(self, LSs=(MTS_LS1v1, MTS_LS2, MTS_LS3v1), **ukwargs)

class DynNpDifferentialEvolutionMTS(DifferentialEvolutionMTS, DynNpDifferentialEvolution):
	r"""Implementation of Differential Evolution withm MTS local searches dynamic and population size.

	Algorithm:
		Differential Evolution withm MTS local searches and dynamic population size

	Date:
		2018

	Author:
		Klemen Berkovič

	License:
		MIT

	Attributes:
		Name (List[str]): List of strings representing algorithm name

	See Also:
		* :class:`NiaPy.algorithms.modified.DifferentialEvolutionMTS`
		* :class:`NiaPy.algorithms.basic.de.DynNpDifferentialEvolution`
	"""
	Name = ['DynNpDifferentialEvolutionMTS', 'dynNpDEMTS']

	@staticmethod
	def algorithmInfo():
		r"""Get basic information about the algorithm.

		Returns:
			str: Basic information.

		See Also:
			* :func:`NiaPy.algorithms.Algorithm.algorithmInfo`
		"""
		return r"""TODO"""

	def setParameters(self, pmax=10, rp=3, **ukwargs):
		r"""Set core parameters or DynNpDifferentialEvolutionMTS algorithm.

		Args:
			pmax (Optional[int]):
			rp (Optional[float]):
			**ukwargs (Dict[str, Any]): Additional arguments.

		See Also:
			* :func:`NiaPy.algorithms.modified.hde.DifferentialEvolutionMTS.setParameters`
			* :func`NiaPy.algorithms.basic.de.DynNpDifferentialEvolution.setParameters`
		"""
		DynNpDifferentialEvolution.setParameters(self, pmax=pmax, rp=rp, **ukwargs)
		DifferentialEvolutionMTS.setParameters(self, **ukwargs)

	def postSelection(self, X, task, xb, fxb, **kwargs):
		nX, xb, fxb = DynNpDifferentialEvolution.postSelection(self, X, task, xb, fxb)
		nX, xb, fxb = DifferentialEvolutionMTS.postSelection(self, nX, task, xb, fxb)
		return nX, xb, fxb

class DynNpDifferentialEvolutionMTSv1(DynNpDifferentialEvolutionMTS):
	r"""Implementation of Differential Evolution withm MTSv1 local searches and dynamic population size.

	Algorithm:
		Differential Evolution with MTSv1 local searches and dynamic population size

	Date:
		2018

	Author:
		Klemen Berkovič

	License:
		MIT

	Attributes:
		Name (List[str]): List of strings representing algorithm name.

	See Also:
		:class:`NiaPy.algorithms.modified.hde.DifferentialEvolutionMTS`
	"""
	Name = ['DynNpDifferentialEvolutionMTSv1', 'dynNpDEMTSv1']

	@staticmethod
	def algorithmInfo():
		r"""Get basic information about the algorithm.

		Returns:
			str: Basic information.

		See Also:
			* :func:`NiaPy.algorithms.Algorithm.algorithmInfo`
		"""
		return r"""TODO"""

	def setParameters(self, **ukwargs):
		r"""Set core arguments of DynNpDifferentialEvolutionMTSv1 algorithm.

		Args:
			**ukwargs (Dict[str, Any]): Additional arguments.

		See Also:
			:func:`NiaPy.algorithms.modified.hde.DifferentialEvolutionMTS.setParameters`
		"""
		DynNpDifferentialEvolutionMTS.setParameters(self, LSs=(MTS_LS1v1, MTS_LS2, MTS_LS3v1), **ukwargs)

class MultiStrategyDifferentialEvolutionMTS(DifferentialEvolutionMTS, MultiStrategyDifferentialEvolution):
	r"""Implementation of Differential Evolution withm MTS local searches and multiple mutation strategys.

	Algorithm:
		Differential Evolution withm MTS local searches and multiple mutation strategys

	Date:
		2018

	Author:
		Klemen Berkovič

	License:
		MIT

	Attributes:
		Name (List[str]): List of strings representing algorithm name.

	See Also:
		* :class:`NiaPy.algorithms.modified.hde.DifferentialEvolutionMTS`
		* :class:`NiaPy.algorithms.basic.de.MultiStrategyDifferentialEvolution`
	"""
	Name = ['MultiStrategyDifferentialEvolutionMTS', 'MSDEMTS']

	@staticmethod
	def algorithmInfo():
		r"""Get basic information about the algorithm.

		Returns:
			str: Basic information.

		See Also:
			* :func:`NiaPy.algorithms.Algorithm.algorithmInfo`
		"""
		return r"""TODO"""

	def setParameters(self, **ukwargs):
		r"""TODO.

		Args:
			**ukwargs (Dict[str, Any]): Additional arguments.

		See Also:
			* :func:`NiaPy.algorithms.modified.DifferentialEvolutionMTS.setParameters`
			* :func:`NiaPy.algorithms.basic.MultiStrategyDifferentialEvolution.setParameters`
		"""
		DifferentialEvolutionMTS.setParameters(self, **ukwargs)
		MultiStrategyDifferentialEvolution.setParameters(self, itype=ukwargs.pop('itype', MtsIndividual), **ukwargs)

	def evolve(self, pop, xb, task, **kwargs):
		r"""Evolve population.

		Args:
			pop (numpy.ndarray[Individual]): Current population of individuals.
			xb (Individual): Global best individual.
			task (Task): Optimization task.
			**kwargs (Dict[str, Any]): Additional arguments.

		Returns:
			numpy.ndarray[Individual]: Evolved population.
		"""
		return MultiStrategyDifferentialEvolution.evolve(self, pop, xb, task, **kwargs)

class MultiStrategyDifferentialEvolutionMTSv1(MultiStrategyDifferentialEvolutionMTS):
	r"""Implementation of Differential Evolution with MTSv1 local searches and multiple mutation strategys.

	Algorithm:
		Differential Evolution withm MTSv1 local searches and multiple mutation strategys

	Date:
		2018

	Author:
		Klemen Berkovič

	License:
		MIT

	Attributes:
		Name (List[str]): List of stings representing algorithm name.

	See Also:
		* :class:`NiaPy.algorithms.modified.MultiStrategyDifferentialEvolutionMTS`
	"""
	Name = ['MultiStrategyDifferentialEvolutionMTSv1', 'MSDEMTSv1']

	@staticmethod
	def algorithmInfo():
		r"""Get basic information about the algorithm.

		Returns:
			str: Basic information.

		See Also:
			* :func:`NiaPy.algorithms.Algorithm.algorithmInfo`
		"""
		return r"""TODO"""

	def setParameters(self, **ukwargs):
		r"""Set core parameters of MultiStrategyDifferentialEvolutionMTSv1 algorithm.

		Args:
			**ukwargs (Dict[str, Any]): Additional arguments.

		See Also:
			* :func:`NiaPy.algorithms.modified.MultiStrategyDifferentialEvolutionMTS.setParameters`
		"""
		MultiStrategyDifferentialEvolutionMTS.setParameters(self, LSs=(MTS_LS1v1, MTS_LS2, MTS_LS3v1), **ukwargs)

class DynNpMultiStrategyDifferentialEvolutionMTS(MultiStrategyDifferentialEvolutionMTS, DynNpDifferentialEvolutionMTS):
	r"""Implementation of Differential Evolution withm MTS local searches, multiple mutation strategys and dynamic population size.

	Algorithm:
		Differential Evolution withm MTS local searches, multiple mutation strategys and dynamic population size

	Date:
		2018

	Author:
		Klemen Berkovič

	License:
		MIT

	Attributes:
		Name (List[str]): List of strings representing algorithm name

	See Also:
		* :class:`NiaPy.algorithms.modified.MultiStrategyDifferentialEvolutionMTS`
		* :class:`NiaPy.algorithms.modified.DynNpDifferentialEvolutionMTS`
	"""
	Name = ['DynNpMultiStrategyDifferentialEvolutionMTS', 'dynNpMSDEMTS']

	@staticmethod
	def algorithmInfo():
		r"""Get basic information about the algorithm.

		Returns:
			str: Basic information.

		See Also:
			* :func:`NiaPy.algorithms.Algorithm.algorithmInfo`
		"""
		return r"""TODO"""

	def setParameters(self, **ukwargs):
		r"""Set core arguments of DynNpMultiStrategyDifferentialEvolutionMTS algorithm.

		Args:
			**ukwargs (Dict[str, Any]): Additional arguments.

		See Also:
			* :func:`NiaPy.algorithms.modified.MultiStrategyDifferentialEvolutionMTS.setParameters`
			* :func:`NiaPy.algorithms.modified.DynNpDifferentialEvolutionMTS.setParameters`
		"""
		DynNpDifferentialEvolutionMTS.setParameters(self, **ukwargs)
		MultiStrategyDifferentialEvolutionMTS.setParameters(self, **ukwargs)

class DynNpMultiStrategyDifferentialEvolutionMTSv1(DynNpMultiStrategyDifferentialEvolutionMTS):
	r"""Implementation of Differential Evolution withm MTSv1 local searches, multiple mutation strategys and dynamic population size.

	Algorithm:
		Differential Evolution withm MTSv1 local searches, multiple mutation strategys and dynamic population size

	Date:
		2018

	Author:
		Klemen Berkovič

	License:
		MIT

	Attributes:
		Name (List[str]): List of strings representing algorithm name.

	See Also:
		* :class:`NiaPy.algorithm.modified.DynNpMultiStrategyDifferentialEvolutionMTS`
	"""
	Name = ['DynNpMultiStrategyDifferentialEvolutionMTSv1', 'dynNpMSDEMTSv1']

	@staticmethod
	def algorithmInfo():
		r"""Get basic information about the algorithm.

		Returns:
			str: Basic information.

		See Also:
			* :func:`NiaPy.algorithms.Algorithm.algorithmInfo`
		"""
		return r"""TODO"""

	def setParameters(self, **kwargs):
		r"""Set core parameters of DynNpMultiStrategyDifferentialEvolutionMTSv1 algorithm.

		Args:
			**kwargs (Dict[str, Any]): Additional arguments.

		See Also:
			* :func:`NiaPy.algorithm.modified.DynNpMultiStrategyDifferentialEvolutionMTS.setParameters`
		"""
		DynNpMultiStrategyDifferentialEvolutionMTS.setParameters(self, LSs=(MTS_LS1v1, MTS_LS2, MTS_LS3v1), **kwargs)

# vim: tabstop=3 noexpandtab shiftwidth=3 softtabstop=3


1			# encoding=utf8
2			import logging
3
4			from numpy import argsort
5
6			from NiaPy.algorithms.algorithm import Individual
7			from NiaPy.algorithms.basic.de import MultiStrategyDifferentialEvolution, DynNpDifferentialEvolution, DifferentialEvolution
8			from NiaPy.algorithms.other.mts import MTS_LS1, MTS_LS1v1, MTS_LS2, MTS_LS3, MTS_LS3v1, MultipleTrajectorySearch
9
10			logging.basicConfig()
11			logger = logging.getLogger('NiaPy.algorithms.modified')
12			logger.setLevel('INFO')
13
14			__all__ = ['DifferentialEvolutionMTS', 'DifferentialEvolutionMTSv1', 'DynNpDifferentialEvolutionMTS', 'DynNpDifferentialEvolutionMTSv1', 'MultiStrategyDifferentialEvolutionMTS', 'MultiStrategyDifferentialEvolutionMTSv1', 'DynNpMultiStrategyDifferentialEvolutionMTS', 'DynNpMultiStrategyDifferentialEvolutionMTSv1']
15
16			class MtsIndividual(Individual):
17			r"""Individual for MTS local searches.
18
19			Attributes:
20			SR (numpy.ndarray): Search range.
21			grade (int): Grade of individual.
22			enable (bool): If enabled.
23			improved (bool): If improved.
24
25			See Also:
26			:class:`NiaPy.algorithms.algorithm.Individual`
27			"""
28			def __init__(self, SR=None, grade=0, enable=True, improved=False, task=None, **kwargs):
29			r"""Initialize the individual.
30
31			Args:
32			SR (numpy.ndarray): Search range.
33			grade (Optional[int]): Grade of individual.
34			enable (Optional[bool]): If enabled individual.
35			improved (Optional[bool]): If individual improved.
36			**kwargs (Dict[str, Any]): Additional arguments.
37
38			See Also:
39			:func:`NiaPy.algorithms.algorithm.Individual.__init__`
40			"""
41			Individual.__init__(self, task=task, **kwargs)
42			self.grade, self.enable, self.improved = grade, enable, improved
43			if SR is None and task is not None: self.SR = task.bRange / 4
44			else: self.SR = SR
45
46			class DifferentialEvolutionMTS(DifferentialEvolution, MultipleTrajectorySearch):
47			r"""Implementation of Differential Evolution with MTS local searches.
48
49			Algorithm:
50			Differential Evolution withm MTS local searches
51
52			Date:
53			2018
54
55			Author:
56			Klemen Berkovič
57
58			License:
59			MIT
60
61			Attributes:
62			Name (List[str]): List of strings representing algorithm names.
63			LSs (Iterable[Callable[[numpy.ndarray, float, numpy.ndarray, float, bool, numpy.ndarray, Task, Dict[str, Any]], Tuple[numpy.ndarray, float, numpy.ndarray, float, bool, int, numpy.ndarray]]]): Local searches to use.
64			BONUS1 (int): Bonus for improving global best solution.
65			BONUS2 (int): Bonus for improving solution.
66			NoLsTests (int): Number of test runs on local search algorithms.
67			NoLs (int): Number of local search algorithm runs.
68			NoEnabled (int): Number of best solution for testing.
69
70			See Also:
71			* :class:`NiaPy.algorithms.basic.de.DifferentialEvolution`
72			* :class:`NiaPy.algorithms.other.mts.MultipleTrajectorySearch`
73			"""
74			Name = ['DifferentialEvolutionMTS', 'DEMTS']
75
76			@staticmethod
77			def algorithmInfo():
78			r"""Get basic information about the algorithm.
79
80			Returns:
81			str: Basic information.
82
83			See Also:
84			* :func:`NiaPy.algorithms.Algorithm.algorithmInfo`
85			"""
86			return r"""TODO"""
87
88			@staticmethod
89			def typeParameters():
90			r"""Get dictionary with functions for checking values of parameters.
91
92			Returns:
93			Dict[str, Callable]:
94			* NoLsTests (Callable[[int], bool]): TODO
95			* NoLs (Callable[[int], bool]): TODO
96			* NoEnabled (Callable[[int], bool]): TODO
97
98			See Also:
99			:func:`NiaPy.algorithms.basic.de.DifferentialEvolution.typeParameters`
100			"""
101			d = DifferentialEvolution.typeParameters()
102			d.update({
103			'NoLsTests': lambda x: isinstance(x, int) and x >= 0,
104			'NoLs': lambda x: isinstance(x, int) and x >= 0,
105			'NoEnabled': lambda x: isinstance(x, int) and x > 0
106			})
107			return d
108
109			def setParameters(self, NoLsTests=1, NoLs=2, NoEnabled=2, BONUS1=10, BONUS2=2, LSs=(MTS_LS1, MTS_LS2, MTS_LS3), **ukwargs):
110			r"""Set the algorithm parameters.
111
112			Arguments:
113			SR (numpy.ndarray): Search range.
114
115			See Also:
116			:func:`NiaPy.algorithms.basic.de.DifferentialEvolution.setParameters`
117			"""
118			DifferentialEvolution.setParameters(self, itype=ukwargs.pop('itype', MtsIndividual), **ukwargs)
119			self.LSs, self.NoLsTests, self.NoLs, self.NoEnabled = LSs, NoLsTests, NoLs, NoEnabled
120			self.BONUS1, self.BONUS2 = BONUS1, BONUS2
121
122			def getParameters(self):
123			d = DifferentialEvolution.getParameters(self)
124			# TODO add parameter values to dictionary
125			return d
126
127			def postSelection(self, X, task, xb, fxb, **kwargs):
128			r"""Post selection operator.
129
130			Args:
131			X (numpy.ndarray): Current populaiton.
132			task (Task): Optimization task.
133			xb (numpy.ndarray): Global best individual.
134			**kwargs (Dict[str, Any]): Additional arguments.
135
136			Returns:
137			Tuple[numpy.ndarray, numpy.ndarray, float]: New population.
138			"""
139			for x in X:
140			if not x.enable: continue
141			x.enable, x.grades = False, 0
142			x.x, x.f, xb, fxb, k = self.GradingRun(x.x, x.f, xb, fxb, x.improved, x.SR, task)
143			x.x, x.f, xb, fxb, x.improved, x.SR, x.grades = self.LsRun(k, x.x, x.f, xb, fxb, x.improved, x.SR, 0, task)
144			for i in X[argsort([x.grade for x in X])[:self.NoEnabled]]: i.enable = True
145			return X, xb, fxb
146
147			class DifferentialEvolutionMTSv1(DifferentialEvolutionMTS):
148			r"""Implementation of Differential Evolution withm MTSv1 local searches.
149
150			Algorithm:
151			Differential Evolution withm MTSv1 local searches
152
153			Date:
154			2018
155
156			Author:
157			Klemen Berkovič
158
159			License:
160			MIT
161
162			Attributes:
163			Name (List[str]): List of strings representing algorithm name.
164
165			See Also:
166			:class:`NiaPy.algorithms.modified.DifferentialEvolutionMTS`
167			"""
168			Name = ['DifferentialEvolutionMTSv1', 'DEMTSv1']
169
170			@staticmethod
171			def algorithmInfo():
172			r"""Get basic information about the algorithm.
173
174			Returns:
175			str: Basic information.
176
177			See Also:
178			* :func:`NiaPy.algorithms.Algorithm.algorithmInfo`
179			"""
180			return r"""TODO"""
181
182			def setParameters(self, **ukwargs):
183			r"""Set core parameters of DifferentialEvolutionMTSv1 algorithm.
184
185			Args:
186			**ukwargs (Dict[str, Any]): Additional arguments.
187
188			See Also:
189			:func:`NiaPy.algorithms.modified.DifferentialEvolutionMTS.setParameters`
190			"""
191			DifferentialEvolutionMTS.setParameters(self, LSs=(MTS_LS1v1, MTS_LS2, MTS_LS3v1), **ukwargs)
192
193			class DynNpDifferentialEvolutionMTS(DifferentialEvolutionMTS, DynNpDifferentialEvolution):
194			r"""Implementation of Differential Evolution withm MTS local searches dynamic and population size.
195
196			Algorithm:
197			Differential Evolution withm MTS local searches and dynamic population size
198
199			Date:
200			2018
201
202			Author:
203			Klemen Berkovič
204
205			License:
206			MIT
207
208			Attributes:
209			Name (List[str]): List of strings representing algorithm name
210
211			See Also:
212			* :class:`NiaPy.algorithms.modified.DifferentialEvolutionMTS`
213			* :class:`NiaPy.algorithms.basic.de.DynNpDifferentialEvolution`
214			"""
215			Name = ['DynNpDifferentialEvolutionMTS', 'dynNpDEMTS']
216
217			@staticmethod
218			def algorithmInfo():
219			r"""Get basic information about the algorithm.
220
221			Returns:
222			str: Basic information.
223
224			See Also:
225			* :func:`NiaPy.algorithms.Algorithm.algorithmInfo`
226			"""
227			return r"""TODO"""
228
229			def setParameters(self, pmax=10, rp=3, **ukwargs):
230			r"""Set core parameters or DynNpDifferentialEvolutionMTS algorithm.
231
232			Args:
233			pmax (Optional[int]):
234			rp (Optional[float]):
235			**ukwargs (Dict[str, Any]): Additional arguments.
236
237			See Also:
238			* :func:`NiaPy.algorithms.modified.hde.DifferentialEvolutionMTS.setParameters`
239			* :func`NiaPy.algorithms.basic.de.DynNpDifferentialEvolution.setParameters`
240			"""
241			DynNpDifferentialEvolution.setParameters(self, pmax=pmax, rp=rp, **ukwargs)
242			DifferentialEvolutionMTS.setParameters(self, **ukwargs)
243
244			def postSelection(self, X, task, xb, fxb, **kwargs):
245			nX, xb, fxb = DynNpDifferentialEvolution.postSelection(self, X, task, xb, fxb)
246			nX, xb, fxb = DifferentialEvolutionMTS.postSelection(self, nX, task, xb, fxb)
247			return nX, xb, fxb
248
249			class DynNpDifferentialEvolutionMTSv1(DynNpDifferentialEvolutionMTS):
250			r"""Implementation of Differential Evolution withm MTSv1 local searches and dynamic population size.
251
252			Algorithm:
253			Differential Evolution with MTSv1 local searches and dynamic population size
254
255			Date:
256			2018
257
258			Author:
259			Klemen Berkovič
260
261			License:
262			MIT
263
264			Attributes:
265			Name (List[str]): List of strings representing algorithm name.
266
267			See Also:
268			:class:`NiaPy.algorithms.modified.hde.DifferentialEvolutionMTS`
269			"""
270			Name = ['DynNpDifferentialEvolutionMTSv1', 'dynNpDEMTSv1']
271
272			@staticmethod
273			def algorithmInfo():
274			r"""Get basic information about the algorithm.
275
276			Returns:
277			str: Basic information.
278
279			See Also:
280			* :func:`NiaPy.algorithms.Algorithm.algorithmInfo`
281			"""
282			return r"""TODO"""
283
284			def setParameters(self, **ukwargs):
285			r"""Set core arguments of DynNpDifferentialEvolutionMTSv1 algorithm.
286
287			Args:
288			**ukwargs (Dict[str, Any]): Additional arguments.
289
290			See Also:
291			:func:`NiaPy.algorithms.modified.hde.DifferentialEvolutionMTS.setParameters`
292			"""
293			DynNpDifferentialEvolutionMTS.setParameters(self, LSs=(MTS_LS1v1, MTS_LS2, MTS_LS3v1), **ukwargs)
294
295			class MultiStrategyDifferentialEvolutionMTS(DifferentialEvolutionMTS, MultiStrategyDifferentialEvolution):
296			r"""Implementation of Differential Evolution withm MTS local searches and multiple mutation strategys.
297
298			Algorithm:
299			Differential Evolution withm MTS local searches and multiple mutation strategys
300
301			Date:
302			2018
303
304			Author:
305			Klemen Berkovič
306
307			License:
308			MIT
309
310			Attributes:
311			Name (List[str]): List of strings representing algorithm name.
312
313			See Also:
314			* :class:`NiaPy.algorithms.modified.hde.DifferentialEvolutionMTS`
315			* :class:`NiaPy.algorithms.basic.de.MultiStrategyDifferentialEvolution`
316			"""
317			Name = ['MultiStrategyDifferentialEvolutionMTS', 'MSDEMTS']
318
319			@staticmethod
320			def algorithmInfo():
321			r"""Get basic information about the algorithm.
322
323			Returns:
324			str: Basic information.
325
326			See Also:
327			* :func:`NiaPy.algorithms.Algorithm.algorithmInfo`
328			"""
329			return r"""TODO"""
330
331			def setParameters(self, **ukwargs):
332			r"""TODO.
333
334			Args:
335			**ukwargs (Dict[str, Any]): Additional arguments.
336
337			See Also:
338			* :func:`NiaPy.algorithms.modified.DifferentialEvolutionMTS.setParameters`
339			* :func:`NiaPy.algorithms.basic.MultiStrategyDifferentialEvolution.setParameters`
340			"""
341			DifferentialEvolutionMTS.setParameters(self, **ukwargs)
342			MultiStrategyDifferentialEvolution.setParameters(self, itype=ukwargs.pop('itype', MtsIndividual), **ukwargs)
343
344			def evolve(self, pop, xb, task, **kwargs):
345			r"""Evolve population.
346
347			Args:
348			pop (numpy.ndarray[Individual]): Current population of individuals.
349			xb (Individual): Global best individual.
350			task (Task): Optimization task.
351			**kwargs (Dict[str, Any]): Additional arguments.
352
353			Returns:
354			numpy.ndarray[Individual]: Evolved population.
355			"""
356			return MultiStrategyDifferentialEvolution.evolve(self, pop, xb, task, **kwargs)
357
358			class MultiStrategyDifferentialEvolutionMTSv1(MultiStrategyDifferentialEvolutionMTS):
359			r"""Implementation of Differential Evolution with MTSv1 local searches and multiple mutation strategys.
360
361			Algorithm:
362			Differential Evolution withm MTSv1 local searches and multiple mutation strategys
363
364			Date:
365			2018
366
367			Author:
368			Klemen Berkovič
369
370			License:
371			MIT
372
373			Attributes:
374			Name (List[str]): List of stings representing algorithm name.
375
376			See Also:
377			* :class:`NiaPy.algorithms.modified.MultiStrategyDifferentialEvolutionMTS`
378			"""
379			Name = ['MultiStrategyDifferentialEvolutionMTSv1', 'MSDEMTSv1']
380
381			@staticmethod
382			def algorithmInfo():
383			r"""Get basic information about the algorithm.
384
385			Returns:
386			str: Basic information.
387
388			See Also:
389			* :func:`NiaPy.algorithms.Algorithm.algorithmInfo`
390			"""
391			return r"""TODO"""
392
393			def setParameters(self, **ukwargs):
394			r"""Set core parameters of MultiStrategyDifferentialEvolutionMTSv1 algorithm.
395
396			Args:
397			**ukwargs (Dict[str, Any]): Additional arguments.
398
399			See Also:
400			* :func:`NiaPy.algorithms.modified.MultiStrategyDifferentialEvolutionMTS.setParameters`
401			"""
402			MultiStrategyDifferentialEvolutionMTS.setParameters(self, LSs=(MTS_LS1v1, MTS_LS2, MTS_LS3v1), **ukwargs)
403
404			class DynNpMultiStrategyDifferentialEvolutionMTS(MultiStrategyDifferentialEvolutionMTS, DynNpDifferentialEvolutionMTS):
405			r"""Implementation of Differential Evolution withm MTS local searches, multiple mutation strategys and dynamic population size.
406
407			Algorithm:
408			Differential Evolution withm MTS local searches, multiple mutation strategys and dynamic population size
409
410			Date:
411			2018
412
413			Author:
414			Klemen Berkovič
415
416			License:
417			MIT
418
419			Attributes:
420			Name (List[str]): List of strings representing algorithm name
421
422			See Also:
423			* :class:`NiaPy.algorithms.modified.MultiStrategyDifferentialEvolutionMTS`
424			* :class:`NiaPy.algorithms.modified.DynNpDifferentialEvolutionMTS`
425			"""
426			Name = ['DynNpMultiStrategyDifferentialEvolutionMTS', 'dynNpMSDEMTS']
427
428			@staticmethod
429			def algorithmInfo():
430			r"""Get basic information about the algorithm.
431
432			Returns:
433			str: Basic information.
434
435			See Also:
436			* :func:`NiaPy.algorithms.Algorithm.algorithmInfo`
437			"""
438			return r"""TODO"""
439
440			def setParameters(self, **ukwargs):
441			r"""Set core arguments of DynNpMultiStrategyDifferentialEvolutionMTS algorithm.
442
443			Args:
444			**ukwargs (Dict[str, Any]): Additional arguments.
445
446			See Also:
447			* :func:`NiaPy.algorithms.modified.MultiStrategyDifferentialEvolutionMTS.setParameters`
448			* :func:`NiaPy.algorithms.modified.DynNpDifferentialEvolutionMTS.setParameters`
449			"""
450			DynNpDifferentialEvolutionMTS.setParameters(self, **ukwargs)
451			MultiStrategyDifferentialEvolutionMTS.setParameters(self, **ukwargs)
452
453			class DynNpMultiStrategyDifferentialEvolutionMTSv1(DynNpMultiStrategyDifferentialEvolutionMTS):
454			r"""Implementation of Differential Evolution withm MTSv1 local searches, multiple mutation strategys and dynamic population size.
455
456			Algorithm:
457			Differential Evolution withm MTSv1 local searches, multiple mutation strategys and dynamic population size
458
459			Date:
460			2018
461
462			Author:
463			Klemen Berkovič
464
465			License:
466			MIT
467
468			Attributes:
469			Name (List[str]): List of strings representing algorithm name.
470
471			See Also:
472			* :class:`NiaPy.algorithm.modified.DynNpMultiStrategyDifferentialEvolutionMTS`
473			"""
474			Name = ['DynNpMultiStrategyDifferentialEvolutionMTSv1', 'dynNpMSDEMTSv1']
475
476			@staticmethod
477			def algorithmInfo():
478			r"""Get basic information about the algorithm.
479
480			Returns:
481			str: Basic information.
482
483			See Also:
484			* :func:`NiaPy.algorithms.Algorithm.algorithmInfo`
485			"""
486			return r"""TODO"""
487
488			def setParameters(self, **kwargs):
489			r"""Set core parameters of DynNpMultiStrategyDifferentialEvolutionMTSv1 algorithm.
490
491			Args:
492			**kwargs (Dict[str, Any]): Additional arguments.
493
494			See Also:
495			* :func:`NiaPy.algorithm.modified.DynNpMultiStrategyDifferentialEvolutionMTS.setParameters`
496			"""
497			DynNpMultiStrategyDifferentialEvolutionMTS.setParameters(self, LSs=(MTS_LS1v1, MTS_LS2, MTS_LS3v1), **kwargs)
498
499			# vim: tabstop=3 noexpandtab shiftwidth=3 softtabstop=3
500

NiaOrg / NiaPy

Push — master ( ff5cab...a135cc )

DifferentialEvolutionMTS.setParameters() A

Complexity

Size

Duplication

Importance

How to fix Many Parameters

Many Parameters

Duplication Side-by-Side

Filter issues like