Abstract Because the standard particle swarm algorithm is prone to “premature” problem,this paper puts forward the improved particle swarm algorithm based on JADE platform.By introducing a small probability variation and adding dynamic inertia weight method,the algorithm retains the diversity of population and improve the global search ability of the algorithm. Multi-agent platform can greatly enhance the algorithm’s parallelism and can effectively solve the problem of large-scale complex system.Through testing on 40 units of economic operation model and to compare the improved particle swarm algorithm based on MATLAB platform.Test results show that the proposed algorithm has better convergence accuracy,algorithm is feasible.
Chen Zhihui. The Particle Swarm Optimization Algorithm Basing on JADE Platform for the Economic Dispatch[J]. Electrical Engineering, 2015, 16(01): 32-35.
2015, Vol. 16 
