Bee Swarm Optimization for feature selection

swarm.py

    def bso(self):
        i=0
        while(i<self.maxIterations):
            #print("refSol is : ",self.refSolution.solution)
            #print(self.refSolution.solution)
            self.tabou.append(self.refSolution)
            #print("Iteration N° : ",i)
            
            self.searchArea()
            print("********************************************************")
            print("Search zone is :")
            for k in range (self.nbrBees): 
                print(self.beeList[k].id)
                print(self.beeList[k].solution)
            print("*******************************************************")
            # The local search
            
            for j in range(self.nbrBees):
                #self.beeList[j].localSearch()
                for episode in range(5):
                    self.beeList[j].ql_localSearch()
                print( "Fitness of bee " + str(j) + " " + str(self.beeList[j].fitness) )
            self.refSolution=self.selectRefSol()
            i+=1