def createSwarm(self):
print("Creating swarm..")
for i in range(self.nb_particles):
p = Particle(i + 1, self.run_id, self.rng, self.simulation,
self.phi_1, self.phi_2, self.inertia)
print(
f"{self.run_id} Particle {i+1} evaluation: {p.getPbestEvaluation()}"
)
self.swarm.append(p)
if (self.global_best_sol.getEval() > p.getPbestEvaluation()):
self.updateGlobalBest(p.getPbestPosition(),
p.getPbestEvaluation())
self.best_particle = p
self.createGbestTopology()
print(
self.run_id, " Best initial solution quality: {}".format(
self.global_best_sol.getEval()))
