def initialize(obj, dim, algo):
fitness = []
for i in range(0, no_particles):
p = Particle() # Object for the Particle Class
particles.append(
p) # Add the particle object to the :code:`particles` list
p._pos = np.random.randint(
2, size=dim) # create of particles and dimension
p._velocity = np.random.uniform(
-1, 1, size=dim) # create a velocity for all the particle
p._fitness = obj.getAccuracy(obj.data_cleaning(p._pos),
algo) # Fitness of the particle
fitness.append(
p._fitness
) # An array that stores all the fitness of each and every particle
p._personalBest = p._pos # the personal best of the particle
max_fitness_index = fitness.index(
max(fitness)) # stores the index of particle with best fitness
best_fitness_obj = particles[
max_fitness_index] # best fitness object in the swarm
best_pos = particles[
max_fitness_index]._pos # stores the position of the best particle with max fitness
best_fitness = particles[
max_fitness_index]._fitness # the best in the swarm
fitness_overall.append(
best_fitness) # add the current best fitness to fitness overall
pos_overall.append(
best_pos) # add the current best position to position overall
return
