def select_best_neigbor(self, neighbors):
leader = FloatSolution(self.problem.number_of_variables)
leader.objective = float("inf")
for i in neighbors:
if self.swarm[i].objective < leader.objective:
leader = self.swarm[i]
return leader
def select_best_three_neigbors(self, neighbors):
alpha_wolf = FloatSolution(self.problem.number_of_variables)
alpha_wolf.objective = float("inf")
beta_wolf = FloatSolution(self.problem.number_of_variables)
beta_wolf.objective = float("inf")
delta_wolf = FloatSolution(self.problem.number_of_variables)
delta_wolf.objective = float("inf")
for i in neighbors:
if self.swarm[i].objective < alpha_wolf.objective:
delta_wolf = beta_wolf
beta_wolf = alpha_wolf
alpha_wolf = self.swarm[i]
elif self.swarm[i].objective < beta_wolf.objective:
delta_wolf = beta_wolf
beta_wolf = self.swarm[i]
elif self.swarm[i].objective < delta_wolf.objective:
delta_wolf = self.swarm[i]
return alpha_wolf, beta_wolf, delta_wolf
def evaluate(self, solution: FloatSolution):
self.nfes += 1
solution.objective = self.compute(solution.variables)