View GitHub Repository NiaPy

Schedule Inspection
Subscribe
Passed
Push — master ( bf6d5c...a49e28 )
by Grega
01:20
created

run_cso   A

↳ Parent: Project

Complexity

Total Complexity 0

Size/Duplication

Total Lines 22
Duplicated Lines 0 %

Importance

Changes 0
Metric Value
eloc 12
dl 0
loc 22
rs 10
c 0
b 0
f 0
wmc 0
1 
# encoding=utf8
2 
# This is temporary fix to import module from parent folder
3 
# It will be removed when package is published on PyPI
4 
import sys
5 
sys.path.append('../')
6 
# End of fix
7 

            


            
                                                        
            
                                    
            
            

                
                    8
                

                                    
                                                    
                
                
                
from NiaPy.algorithms.basic import CatSwarmOptimization

            


            
                                                        
            
                                    
            
            

                
                    9
                

                                    
                                                    
                
                
                
from NiaPy.task.task import StoppingTask, OptimizationType

            


            
                                                        
            
                                    
            
            

                
                    10
                

                                    
                                                    
                
                
                
from NiaPy.benchmarks import Sphere

            


            
                                                        
            
                                    
            
            

                
                    11
                

                                    
                                                    
                
                
                

            


            
                                                        
            
                                    
            
            

                
                    12
                

                                    
                                                    
                
                
                
# we will run Cat Swarm Optimization for 5 independent runs

            


            
                                                        
            
                                    
            
            

                
                    13
                

                                    
                                                    
                
                
                
for i in range(1):

            


            
                                                        
            
                                    
            
            

                
                    14
                

                                    
                                                    
                
                
                
    task = StoppingTask(D=10, nFES=1000, optType=OptimizationType.MINIMIZATION, logger=True, benchmark=Sphere())

            


            
                                                        
            
                                    
            
            

                
                    15
                

                                    
                                                    
                
                
                
    algo = CatSwarmOptimization()

            


            
                                                        
            
                                    
            
            

                
                    16
                

                                    
                                                    
                
                
                
    best = algo.run(task=task)

            


            
                                                        
            
                                    
            
            

                
                    17
                

                                    
                                                    
                
                
                
    #print(best,'\n', Sphere().function()(task.D,best[0]))

            


            
                                                        
            
                                    
            
            

                
                    18
                

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

            


            
                                                        
            
                                    
            
            

                
                    19
                

                                    
                                                    
                
                
                

            


            
                                                        
            
                                    
            
            

                
                    20
                

                                    
                                                    
                
                
                
    #plot a convergence graph

            


            
                                                        
            
                                    
            
            

                
                    21
                

                                    
                                                    
                
                
                
    task.plot()