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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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                import logging  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                import NiaPy  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                logging.basicConfig()  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                logger = logging.getLogger('examples') | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                logger.setLevel('INFO') | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                View Code Duplication | 
                class MyBenchmark(object):  | 
            
                            
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                    def __init__(self):  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                        self.Lower = -5.12  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                        self.Upper = 5.12  | 
            
            
                                                                                                            
                                                                
            
                                    
            
            
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                    def function(self):  | 
            
            
                                                                        
                            
            
                                    
            
            
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                        def evaluate(D, sol):  | 
            
            
                                                                        
                            
            
                                    
            
            
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                            val = 0.0  | 
            
            
                                                                        
                            
            
                                    
            
            
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                            for i in range(D):  | 
            
            
                                                                        
                            
            
                                    
            
            
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                                val = val + sol[i] * sol[i]  | 
            
            
                                                                        
                            
            
                                    
            
            
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                            return val  | 
            
            
                                                                        
                            
            
                                    
            
            
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                        return evaluate  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                algorithms = ['BatAlgorithm',  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                              'DifferentialEvolution',  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                              'FireflyAlgorithm',  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                              'FlowerPollinationAlgorithm',  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                              'GreyWolfOptimizer',  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                              'ArtificialBeeColonyAlgorithm',  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                              'GeneticAlgorithm',  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                              'ParticleSwarmAlgorithm',  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                              'HybridBatAlgorithm',  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                              'SelfAdaptiveDifferentialEvolution']  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                benchmarks = ['ackley', 'alpine1', 'alpine2', 'chungReynolds',  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                              'csendes', 'griewank', 'happyCat', 'pinter',  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                              'quing', 'quintic', 'rastrigin', 'ridge',  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                              'rosenbrock', 'salomon', 'schumerSteiglitz', 'schwefel',  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                              'schwefel221', 'schwefel222', 'sphere', 'step',  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                              'step2', 'step3', 'stepint', 'styblinskiTang',  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                              'sumSquares', 'whitley', MyBenchmark()]  | 
            
            
                                                                                                            
                            
            
                                    
            
            
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                NiaPy.Runner(10, 40, 1000, 3, algorithms, benchmarks).run(export='json', verbose=True)  | 
            
            
                                                        
            
                                    
            
            
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