A new method for constrained optimization problems to produce initial values

To solve the hard problem that it is difficult to produce initial values satisfied with the constrained conditions in constrained optimization problems, according to the good ability of particle swarm optimization in finding good values, the paper presents a new method for producing stochastic values satisfied with constrained conditions using particle swarm optimization, which can be used in the all kinds of algorithms to produce initial values. The examples show that the algorithm this paper presents can get good stochastic values satisfied with constrained conditions.