Code Duplication - NiaOrg/NiaPy - Measure and Improve Code Quality continuously with Scrutinizer

Code Duplication Length = 53-53 lines in 3 locations

NiaPy/algorithms/modified/sade.py 2 locations


		# TODO implemnt algorithm
		return pop, fpop, xb, fxb, dparams

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']

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

		Returns:
			str: Get algorithm 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."""

	def setParameters(self, **kwargs):
		DifferentialEvolution.setParameters(self, **kwargs)
		# TODO add parameters of the algorithm

	def getParameters(self):
		d = DifferentialEvolution.getParameters(self)
		# TODO add paramters values
		return d

	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


	'StrategyAdaptationDifferentialEvolutionV1'
]

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']

	@staticmethod
	def algorithmInfo():
		r"""Geg basic algorithm information.

		Returns:
			str: Basic algorithm 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."""

	def setParameters(self, **kwargs):
		DifferentialEvolution.setParameters(self, **kwargs)
		# TODO add parameters of the algorithm

	def getParameters(self):
		d = DifferentialEvolution.getParameters(self)
		# TODO add paramters values
		return d

	def runIteration(self, task, pop, fpop, xb, fxb, **dparams):
		# TODO implemnt algorithm
		return pop, fpop, xb, fxb, dparams

class StrategyAdaptationDifferentialEvolutionV1(DifferentialEvolution):
	r"""Implementation of Differential Evolution Algorithm With Strategy Adaptation algorihtm.

NiaPy/algorithms/modified/jade.py 1 location


	x = [pop[ic][i] + f * (ppop[rp[0]][i] - pop[ic][i]) + f * (pop[r[0]][i] - apop[ra[0]][i]) if rnd.rand() < cr or i == j else pop[ic][i] for i in range(len(pop[ic]))]
	return asarray(x)

class AdaptiveArchiveDifferentialEvolution(DifferentialEvolution):
	r"""Implementation of Adaptive Differential Evolution With Optional External Archive algorithm.

	Algorithm:
		Adaptive Differential Evolution With Optional External Archive

	Date:
		2019

	Author:
		Klemen Berkovič

	License:
		MIT

	Reference URL:
		https://ieeexplore.ieee.org/document/5208221

	Reference paper:
		Zhang, Jingqiao, and Arthur C. Sanderson. "JADE: adaptive differential evolution with optional external archive." IEEE Transactions on evolutionary computation 13.5 (2009): 945-958.

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

	See Also:
		:class:`NiaPy.algorithms.basic.DifferentialEvolution`
	"""
	Name = ['AdaptiveArchiveDifferentialEvolution', 'JADE']

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

		Returns:
			str: Alogrithm information.

		See Also:
			:func:`NiaPy.algorithms.algorithm.Algorithm.algorithmInfo`
		"""
		return r"""Zhang, Jingqiao, and Arthur C. Sanderson. "JADE: adaptive differential evolution with optional external archive." IEEE Transactions on evolutionary computation 13.5 (2009): 945-958."""

	def setParameters(self, **kwargs):
		DifferentialEvolution.setParameters(self, **kwargs)
		# TODO add parameters of the algorithm

	def getParameters(self):
		d = DifferentialEvolution.getParameters(self)
		# TODO add paramters values
		return d

	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


		@@ 73-125 (lines=53) @@
70		# TODO implemnt algorithm
71		return pop, fpop, xb, fxb, dparams
72
73		class StrategyAdaptationDifferentialEvolutionV1(DifferentialEvolution):
74		r"""Implementation of Differential Evolution Algorithm With Strategy Adaptation algorihtm.
75
76		Algorithm:
77		Differential Evolution Algorithm With StrategyAdaptation
78
79		Date:
80		2019
81
82		Author:
83		Klemen Berkovič
84
85		License:
86		MIT
87
88		Reference URL:
89		https://ieeexplore.ieee.org/document/4632146
90
91		Reference paper:
92		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.
93
94		Attributes:
95		Name (List[str]): List of strings representing algorithm name.
96
97		See Also:
98		:class:`NiaPy.algorithms.basic.DifferentialEvolution`
99		"""
100		Name = ['StrategyAdaptationDifferentialEvolutionV1', 'SADEV1', 'SaDEV1']
101
102		@staticmethod
103		def algorithmInfo():
104		r"""Get algorithm information.
105
106		Returns:
107		str: Get algorithm information.
108
109		See Also:
110		:func:`NiaPy.algorithms.algorithm.Algorithm.algorithmInfo`
111		"""
112		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."""
113
114		def setParameters(self, **kwargs):
115		DifferentialEvolution.setParameters(self, **kwargs)
116		# TODO add parameters of the algorithm
117
118		def getParameters(self):
119		d = DifferentialEvolution.getParameters(self)
120		# TODO add paramters values
121		return d
122
123		def runIteration(self, task, pop, fpop, xb, fxb, **dparams):
124		# TODO implement algorithm
125		return pop, fpop, xb, fxb, dparams
126
127		# vim: tabstop=3 noexpandtab shiftwidth=3 softtabstop=3
128
		@@ 19-71 (lines=53) @@
16		'StrategyAdaptationDifferentialEvolutionV1'
17		]
18
19		class StrategyAdaptationDifferentialEvolution(DifferentialEvolution):
20		r"""Implementation of Differential Evolution Algorithm With Strategy Adaptation algorihtm.
21
22		Algorithm:
23		Differential Evolution Algorithm With StrategyAdaptation
24
25		Date:
26		2019
27
28		Author:
29		Klemen Berkovič
30
31		License:
32		MIT
33
34		Reference URL:
35		https://ieeexplore.ieee.org/document/1554904
36
37		Reference paper:
38		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.
39
40		Attributes:
41		Name (List[str]): List of strings representing algorithm name.
42
43		See Also:
44		:class:`NiaPy.algorithms.basic.DifferentialEvolution`
45		"""
46		Name = ['StrategyAdaptationDifferentialEvolution', 'SADE', 'SaDE']
47
48		@staticmethod
49		def algorithmInfo():
50		r"""Geg basic algorithm information.
51
52		Returns:
53		str: Basic algorithm information.
54
55		See Also:
56		:func:`NiaPy.algorithms.algorithm.Algorithm.algorithmInfo`
57		"""
58		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."""
59
60		def setParameters(self, **kwargs):
61		DifferentialEvolution.setParameters(self, **kwargs)
62		# TODO add parameters of the algorithm
63
64		def getParameters(self):
65		d = DifferentialEvolution.getParameters(self)
66		# TODO add paramters values
67		return d
68
69		def runIteration(self, task, pop, fpop, xb, fxb, **dparams):
70		# TODO implemnt algorithm
71		return pop, fpop, xb, fxb, dparams
72
73		class StrategyAdaptationDifferentialEvolutionV1(DifferentialEvolution):
74		r"""Implementation of Differential Evolution Algorithm With Strategy Adaptation algorihtm.

		@@ 57-109 (lines=53) @@
54		x = [pop[ic][i] + f * (ppop[rp[0]][i] - pop[ic][i]) + f * (pop[r[0]][i] - apop[ra[0]][i]) if rnd.rand() < cr or i == j else pop[ic][i] for i in range(len(pop[ic]))]
55		return asarray(x)
56
57		class AdaptiveArchiveDifferentialEvolution(DifferentialEvolution):
58		r"""Implementation of Adaptive Differential Evolution With Optional External Archive algorithm.
59
60		Algorithm:
61		Adaptive Differential Evolution With Optional External Archive
62
63		Date:
64		2019
65
66		Author:
67		Klemen Berkovič
68
69		License:
70		MIT
71
72		Reference URL:
73		https://ieeexplore.ieee.org/document/5208221
74
75		Reference paper:
76		Zhang, Jingqiao, and Arthur C. Sanderson. "JADE: adaptive differential evolution with optional external archive." IEEE Transactions on evolutionary computation 13.5 (2009): 945-958.
77
78		Attributes:
79		Name (List[str]): List of strings representing algorithm name.
80
81		See Also:
82		:class:`NiaPy.algorithms.basic.DifferentialEvolution`
83		"""
84		Name = ['AdaptiveArchiveDifferentialEvolution', 'JADE']
85
86		@staticmethod
87		def algorithmInfo():
88		r"""Get algorithm information.
89
90		Returns:
91		str: Alogrithm information.
92
93		See Also:
94		:func:`NiaPy.algorithms.algorithm.Algorithm.algorithmInfo`
95		"""
96		return r"""Zhang, Jingqiao, and Arthur C. Sanderson. "JADE: adaptive differential evolution with optional external archive." IEEE Transactions on evolutionary computation 13.5 (2009): 945-958."""
97
98		def setParameters(self, **kwargs):
99		DifferentialEvolution.setParameters(self, **kwargs)
100		# TODO add parameters of the algorithm
101
102		def getParameters(self):
103		d = DifferentialEvolution.getParameters(self)
104		# TODO add paramters values
105		return d
106
107		def runIteration(self, task, pop, fpop, xb, fxb, **dparams):
108		# TODO Implement algorithm
109		return pop, fpop, xb, fxb, dparams
110
111		# vim: tabstop=3 noexpandtab shiftwidth=3 softtabstop=3
112

NiaOrg / NiaPy

Code Duplication Length = 53-53 lines in 3 locations

NiaPy/algorithms/modified/sade.py 2 locations

NiaPy/algorithms/modified/jade.py 1 location