A New Parameterless Filled Function Method for Global Optimization

The filled function method is an effective way to solve global optimization problems. However, its effectiveness greatly affected by the selection of parameters, and non-continuous or non-differentiable properties constructed function. To overcome above-mentioned drawbacks, in this paper, a new parameterless proposed that continuous differentiable. Theoretical proofs have been made show Based on function, algorithm unconstrained Experiments are carried out widely used test problems application supply chain with equality inequality constraints. numerical results effective.