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

Algorithm 1

The pseudocode of the main PSO algorithm for evolving the ANN.

(1) Randomly initialize a main swarm of 𝑛 particles, each of which representing the number of the

 hidden nodes and the connection density of an 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 𝑖=1 to 𝑛 do

(5)   Use the sub PSO procedure to evolve the 𝑖th ANN on the training set;

(6)   Move the 𝑖th solution in the main search space according to (4) and (5);

(7)   Update the pbest of the 𝑖th solution;

(8)  Update the gbest of the main-swarm;

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

(10) Use the sub PSO procedure to evolve the gbest of the main-swarm on the training set together

   with the validation set;

(11) return the gbest of the main-swarm;