Fix cec-2014 no-bias

README.md

@@ -1,5 +1,5 @@
 # Optimization Function in Numpy (OpFuNu)
-[![GitHub release](https://img.shields.io/badge/release-0.6.6-yellow.svg)]()
+[![GitHub release](https://img.shields.io/badge/release-0.6.7-yellow.svg)]()
 [![Wheel](https://img.shields.io/pypi/wheel/gensim.svg)](https://pypi.python.org/pypi/opfunu) 
 [![PyPI version](https://badge.fury.io/py/opfunu.svg)](https://badge.fury.io/py/opfunu)
 [![DOI version](https://zenodo.org/badge/DOI/10.5281/zenodo.3620960.svg)](https://badge.fury.io/py/opfunu)

opfunu/cec_basic/cec2014_nobias.py

@@ -108,7 +108,7 @@ def F16(solution=None, shift_num=1, rotate_num=1, f_bias=0):
     return expanded_scaffer__(z) + f_bias
 
 
-def F17(solution=None, shift_num=1, f_bias=0):
+def F17(solution=None, shift_num=1, rotate_num=1, f_bias=0):
     dim = len(solution)
     n1 = int(ceil(0.3 * dim))
     n2 = int(ceil(0.3 * dim)) + n1
@@ -117,7 +117,7 @@ def F17(solution=None, shift_num=1, f_bias=0):
     return modified_schwefel__(x[D[:n1]]) + rastrigin__(x[D[n1:n2]]) + elliptic__(x[D[n2:]]) + f_bias
 
 
-def F18(solution=None, shift_num=1, f_bias=0):
+def F18(solution=None, shift_num=1, rotate_num=1, f_bias=0):
     dim = len(solution)
     n1 = int(ceil(0.3 * dim))
     n2 = int(ceil(0.3 * dim)) + n1
@@ -126,7 +126,7 @@ def F18(solution=None, shift_num=1, f_bias=0):
     return bent_cigar__(x[D[:n1]]) + hgbat__(x[D[n1:n2]]) + rastrigin__(x[D[n2:]]) + f_bias
 
 
-def F19(solution=None, shift_num=1, f_bias=0):
+def F19(solution=None, shift_num=1, rotate_num=1, f_bias=0):
     dim = len(solution)
     n1 = int(ceil(0.2 * dim))
     n2 = int(ceil(0.2 * dim)) + n1
@@ -136,7 +136,7 @@ def F19(solution=None, shift_num=1, f_bias=0):
     return griewank__(x[D[:n1]]) + weierstrass__(x[D[n1:n2]]) + rosenbrock__(x[D[n2:n3]]) + expanded_scaffer__(x[D[n3:]]) + f_bias
 
 
-def F20(solution=None, shift_num=1, f_bias=0):
+def F20(solution=None, shift_num=1, rotate_num=1, f_bias=0):
     dim = len(solution)
     n1 = int(ceil(0.2 * dim))
     n2 = int(ceil(0.2 * dim)) + n1
@@ -146,7 +146,7 @@ def F20(solution=None, shift_num=1, f_bias=0):
     return hgbat__(x[D[:n1]]) + discus__(x[D[n1:n2]]) + expanded_griewank__(x[D[n2:n3]]) + rastrigin__(x[D[n3:]]) + f_bias
 
 
-def F21(solution=None, shift_num=1, f_bias=0):
+def F21(solution=None, shift_num=1, rotate_num=1, f_bias=0):
     dim = len(solution)
     n1 = int(ceil(0.1 * dim))
     n2 = int(ceil(0.2 * dim)) + n1
@@ -158,7 +158,7 @@ def F21(solution=None, shift_num=1, f_bias=0):
            modified_schwefel__(x[D[n3:n4]]) + elliptic__(x[D[n4:]]) + f_bias
 
 
-def F22(solution=None, shift_num=1, f_bias=0):
+def F22(solution=None, shift_num=1, rotate_num=1, f_bias=0):
     dim = len(solution)
     n1 = int(ceil(0.1 * dim))
     n2 = int(ceil(0.2 * dim)) + n1

setup.py

@@ -7,14 +7,14 @@ def readme():
 
 setup(
     name="opfunu",
-    version="0.6.6",
+    version="0.6.7",
     author="Thieu Nguyen",
     author_email="[email protected]",
     description="A framework of un-constrained Optimization Functions in Numpy (OpFuNu) for global optimization problems",
     long_description=readme(),
     long_description_content_type="text/markdown",
     url="https://github.com/thieunguyen5991/opfunu",
-    download_url="https://github.com/thieunguyen5991/opfunu/archive/v0.6.6.zip",
+    download_url="https://github.com/thieunguyen5991/opfunu/archive/v0.6.7.zip",
     packages=find_packages(),
     include_package_data=True,
     license="MIT",