Numerical Prediction and Sequential Process Optimization in Sheet Forming Based on Genetic Algorithm

摘要

Genetic algorithm is an emerging technique used in engineering design activities to find an optimized solution which satisfy a number of design goals. Nonlinear direct method of goal search use successive linearization techniques, which are sensitive to the chosen starting solution and quality of the objective function. The proposed technique can solve programming problems having non-convex regions, which are usually avoided in classical optimization problems. The efficacy of the proposed novel method is demonstrated by solving a number of test problems. The results suggest that the proposed method is effective and represents a practical tool for solving sheet forming problems.