| Step 1. Initialize parameters: PSO-Flag=false; DE-Flag=false; the mutation probability of PSO: ; |
| the mutation probability of DE: ; the balanced parameter between PSO and DE: . |
| Convergence evaluation parameter . |
| Step 2. generation counter G = 0 and randomly initialize a population of NP individuals |
| with , uniformly distributed in the range |
| , where and . |
| Step 3. Evaluation the population and Identify the best position. |
| Step 4. While stopping criterion is not satisfied |
| Generate Random number rand in (0, 1). |
| If rand < p |
| Set DE-Flag=true; %%Active jDE for current population |
| for i = 1 to the NP do |
| Update and according to (14); |
| Generate using (7) |
| Generate the trial vector by (12) |
| End for |
| Else |
| Set PSO-Flag=true; %%Active PSO for current population |
| Update using (4) |
| for i = 1 to the NP do |
| Update particle Velocity and Position according to (1), (2) respectively. |
| Set the values of position to the trial vector . |
| End for |
| End if |
| Step 4.1. Randomly reinitialize the trial vector within the search |
| space if any variable is outside its boundaries. |
| Step 4.2. Selection |
| for i = 1 to NP |
| Evaluate the trial vector |
| If |
| |
| |
| If |
| |
| |
| End if |
| End if |
| End for |
| Step 4.3. Calculate parameter d using (15) |
| If parameter meets the requirement of (16) |
| Generate a random number rand in (0, 1). |
| If rand is less than and PSO-Flag is true |
| Update using (17) |
| End if |
| If rand is less than and DE-Flag is true |
| Update using (18) |
| End if |
| End if |
| Step 4.4. Increment the generation count ; |
| Reset PSO-Flag=false; DE-Flag=false; |
| Step 5. End while |
