Preliminary Investigations into a Two-Stage Method of Evolutionary Optimization on Constrained Problems

Abstract

A hybrid of evolutionary programming and a deterministic optimization procedure is applied to a series of nonlinear and quadratic optimization problems. The results indicate that the hybrid method can outperform the exclusive use of evolutionary programming when addressing constrained optimization problems with finite penalty functions. Directions for future research are outlined.