Research Article
Solving Power Economic Dispatch Problem with a Novel Quantum-Behaved Particle Swarm Optimization Algorithm
Algorithm 1
The pseudocode of SG-QPSO algorithm.
| Input: Input parameters: and | | Output: Fitness value of EDPs | | Step 1: Initialize the current position of each particle, and set its personal best position to be its current position; | | Step 2: Set t = 0; | | Step 3: While the termination condition is not met, perform the following steps; | | Step 4: Set t = t+1 and compute the mean best position ; | | Step 5: From i = 1 executes the following steps; | | Step 6: Evaluate the value of , and update and ; | | Step 7: Update position of each particle according to (2); | | Step 8: set i = i+1, and return to Setp 5 until i = M; | | Step 9: Return to Step 3; | | Step 10: Return result |
|