Quantum-behaved particle swarm optimization for economic dispatch

Quantum-behaved particle swarm optimization(QPSO) is based on the particle swarm optimization(PSO) by adding quantum wave mechanics,then it has better global searching ability.By analyzing many characteristics such as high dimension,many constraints and nonlinear of the economic dispatch(ED) problem,a new QPSO method is proposed for solving the ED problem in power systems.The experiments indicate that this new QPSO algorithm has better global searching ability and robustness while satisfying all kinds of constraint conditions.