amineremache

    def ql_localSearch(self):
        for step in range(10):
            state = self.solution.copy()
            next_state, action, self.reward = self.data.ql.step(self.data,state)
            self.fitness = self.data.ql.get_q_value(self.data,state,action)[0]
            self.data.ql.learn(self.data,state,action,self.reward,next_state)
            self.solution = next_state.copy()

amineremache

    def localSearch(self):
        best=self.fitness
        #done=False
        lista=[j for j, n in enumerate(self.solution) if n == 1]
        indice =lista[0]
        
        for itr in range(self.locIterations):
            while(True):
                pos=-1
                oldFitness=self.fitness

amineremache

    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("********************************************************")