تعداد نشریات | 161 |
تعداد شمارهها | 6,532 |
تعداد مقالات | 70,501 |
تعداد مشاهده مقاله | 124,100,647 |
تعداد دریافت فایل اصل مقاله | 97,207,569 |
Metaheuristic Based Multiple Response Process Optimization | ||
Advances in Industrial Engineering | ||
مقاله 2، دوره 45، Special Issue - شماره پیاپی 626033، اسفند 2011، صفحه 13-23 اصل مقاله (181.11 K) | ||
نویسندگان | ||
Mahdi Bashiri؛ Reza B. Kazemzade؛ Anthony C. Atkinson؛ Hossein Karimi Karimi | ||
چکیده | ||
The simultaneous optimization of multiple responses is an important problem in the design of industrial processes in order to achieve improved quality. In this paper, we present a new metaheuristic approach including Simulated Annealing and Particle Swarm Optimization to optimize all responses simultaneously. For the purpose of illustration and comparison, the proposed approach is applied to two problems taken from the literature. The results of our study show 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 experimental design. | ||
کلیدواژهها | ||
Desirability function؛ Multiple response optimization؛ particle swarm optimization؛ Simulated Annealing | ||
آمار تعداد مشاهده مقاله: 3,373 تعداد دریافت فایل اصل مقاله: 4,035 |