جلد 24، شماره 3 - ( 6-1392 )                   جلد 24 شماره 3 صفحات 229-235 | برگشت به فهرست نسخه ها


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Bashiri M, Bagheri M. Using Imperialist competitive algorithm optimization in multi-response nonlinear programming . IJIEPR. 2013; 24 (3) :229-235
URL: http://ijiepr.iust.ac.ir/article-1-427-fa.html
Using Imperialist competitive algorithm optimization in multi-response nonlinear programming . نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1392; 24 (3) :229-235

URL: http://ijiepr.iust.ac.ir/article-1-427-fa.html


چکیده:   (4628 مشاهده)
The quality of manufactured products is characterized by many controllable quality factors. These factors should be optimized to reach high quality products. In this paper we try to find the controllable factors levels with minimum deviation from the target and with a least variation. To solve the problem a simple aggregation function is used to aggregate the multiple responses functions then an imperialist competitive algorithm is used to find the best level of each controllable variable. Moreover the problem has been better analyzed by Pareto optimal solution to release the aggregation function. Then the proposed multiple response imperialist competitive algorithm (MRICA) has been compared with Multiple objective Genetic Algorithm. The experimental results show efficiency of the proposed approach in both aggregation and non aggregation methods in optimization of the nonlinear multi-response programming.
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نوع مطالعه: پژوهشي | موضوع مقاله: Optimization Techniques
دریافت: ۱۳۹۱/۲/۱۶ | پذیرش: ۱۳۹۲/۷/۶ | انتشار: ۱۳۹۲/۷/۶

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