A new algorithm for solving nonlinear constrained optimization problems with particle swarm optimizer

This Paper presents a new evolutionary algorithm for solving nonlinear constrained optimization problems based on particle swarm optimizer(PSO).Dynamic penalty function is adopted in this algorithm to transform the constrained optimization problems into unconstrained optimization problems. Because a new fitness function which is able to get global minimum has been proposed,the new algorithm has shown its powerful ability for solving nonlinear constrained optimization problems in the benchmark tests.