Forecasting Electrical Energy Consumption of Equipment Maintenance Using Neural Network and Particle Swarm Optimization

Algorithm 2

The pseudocode of the sub-PSO procedure.

(1) Randomly initialize a sub-swarm of 𝑛^′ particles, each of which representing the weights of the 𝑖th ANN;

(2) Let 𝑡^′=0; set the pbest of each particle to its original position;

(3) For 𝑡^′=1 to 𝑡^′_max do

(4)  For each particle in the 𝑖th sub-swarm do

(5)   Move the particle in the sub search space according to (4) and (5);

(6)   Update the pbest of the particle;

(7)  Update the gbest of the 𝑖th sub-swarm;

(8)  Update the control parameters of the inner loop according to (6)~(9);

(9) return the gbest of the 𝑖th sub-swarm as the 𝑖th ANN;