Metaheuristic Based Multiple Response Process Optimization

The simultaneous optimization of multiple responses is an important problem in the designof industrial processes in order to achieve improved quality. In this paper, we present a newmetaheuristic approach including Simulated Annealing and Particle Swarm Optimization tooptimize all responses simultaneously. For the purpose of illustration and comparison, theproposed approach is applied to two problems taken from the literature. The results of our studyshow that the proposed approach outperforms the other approaches and can find better solutions.Finally, in both cases, we present the results of a sensitivity analysis incorporating experimentaldesign.