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by Grega
02:23 queued 24s
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run_mshde   A

↳ Parent: Project

Complexity

Total Complexity 0

Size/Duplication

Total Lines 19
Duplicated Lines 0 %

Importance

Changes 0
Metric Value
eloc 12
dl 0
loc 19
rs 10
c 0
b 0
f 0
wmc 0
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# 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.modified import MultiStrategyDifferentialEvolutionMTS

            


            
                                                                        
                            
            
                                    
            
            

                
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from NiaPy.algorithms.basic.de import CrossCurr2Best1, CrossBest1

            


            
                                                                        
                            
            
                                    
            
            

                
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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 Differential Evolution for 5 independent runs

            


            
                                                                        
                            
            
                                    
            
            

                
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for i in range(5):

            


            
                                                                        
                            
            
                                    
            
            

                
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	task = StoppingTask(D=10, nFES=5000, optType=OptimizationType.MINIMIZATION, benchmark=Sphere())

            


            
                                                                        
                            
            
                                    
            
            

                
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	algo = MultiStrategyDifferentialEvolutionMTS(NP=50, F=0.5, CR=0.4, strategies=(CrossBest1, CrossCurr2Best1))

            


            
                                                                        
                            
            
                                    
            
            

                
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	best = algo.run(task=task)

            


            
                                                                        
                            
            
                                    
            
            

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

            


            
                                                                                                            
                            
            
                                    
            
            

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

            


            
                                                        
            
                                    
            
            

                
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