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by Grega
01:08
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run_khv1.MinMB.function()   A

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Complexity

Conditions 2

Size

Total Lines 6
Code Lines 6

Duplication

Lines 6
Ratio 100 %

Importance

Changes 0
Metric Value
cc 2
eloc 6
nop 1
dl 6
loc 6
rs 10
c 0
b 0
f 0
1 
# encoding=utf8
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# This is temporary fix to import module from parent folder
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# It will be removed when package is published on PyPI
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import sys
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sys.path.append('../')
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# End of fix
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from NiaPy.algorithms.basic import KrillHerdV1

            


            
                                                                                                            
                            
            
                                    
            
            

                
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from NiaPy.util import StoppingTask, OptimizationType

            


            
                                                                                                            
                            
            
                                    
            
            

                
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from NiaPy.benchmarks import Sphere

            


            
                                                                                                            
                            
            
                                    
            
            

                
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# we will run Fireworks Algorithm for 5 independent runs

            


            
                                                                                                            
                            
            
                                    
            
            

                
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for i in range(5):

            


            
                                                                                                            
                            
            
                                    
            
            

                
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	task = StoppingTask(D=10, nGEN=50, optType=OptimizationType.MINIMIZATION, benchmark=Sphere())

            


            
                                                                                                            
                            
            
                                    
            
            

                
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	algo = KrillHerdV1(NP=70, Ainit=0.1, Afinal=0.9)

            


            
                                                                                                            
                            
            
                                    
            
            

                
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	best = algo.run(task=task)

            


            
                                                                                                            
                            
            
                                    
            
            

                
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	print('%s -> %s' % (best[0], best[1]))

            


            
                                                                                                            
                            
            
                                    
            
            

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

            


            
                                                                                                            
                            
            
                                    
            
            

                
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