Optimizing operating conditions based on ANN and modified GAs

Abstract In this paper, an effective method based on artificial neural networks (ANN) and genetic algorithms (GAs) was suggested for modeling the process with unknown or complex mechanisms and optimizing its operating conditions consecutively. Furthermore a modified GA (MGA) with adaptive mutation range was proposed to search the optimal location more quickly. The satisfactory results of this investigation demonstrated the feasibility and effectiveness of the suggested method, and particularly showed that MGA could find the optimal values more quickly than the conventional GAs.