دانلود مقاله ISI انگلیسی شماره 52685
ترجمه فارسی عنوان مقاله

جاذبه انطباقی وزن یافته (WAS): یک الگوریتم هوش ازدحامی برای مسائل بهینه سازی - قسمت 2: بهینه سازی محدود

عنوان انگلیسی
Weighted Superposition Attraction (WSA): A swarm intelligence algorithm for optimization problems – Part 2: Constrained optimization
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
52685 2015 20 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Applied Soft Computing, Volume 37, December 2015, Pages 396–415

ترجمه کلمات کلیدی
الگوریتم جاذبه انطباقی وزن یافته - برنامه ریزی غیر خطی؛ بهینه سازی جهانی محدود ؛ بهینه سازی طراحی
کلمات کلیدی انگلیسی
WSA algorithm; Non-linear programming; Constrained global optimization; Design optimization; Constraint handling
پیش نمایش مقاله
پیش نمایش مقاله  جاذبه انطباقی وزن یافته (WAS): یک الگوریتم هوش ازدحامی برای مسائل بهینه سازی - قسمت 2: بهینه سازی محدود

چکیده انگلیسی

This paper is the second one of the two papers entitled “Weighted Superposition Attraction (WSA) Algorithm”, which is about the performance evaluation of the WSA algorithm in solving the constrained global optimization problems. For this purpose, the well-known mechanical design optimization problems, design of a tension/compression coil spring, design of a pressure vessel, design of a welded beam and design of a speed reducer, are selected as test problems. Since all these problems were formulated as constrained global optimization problems, WSA algorithm requires a constraint handling method for tackling them. For this purpose we have selected 6 formerly developed constraint handling methods for adapting into WSA algorithm and analyze the effect of the used constraint handling method on the performance of the WSA algorithm. In other words, we have the aim of producing concluding remarks over the performance and robustness of the WSA algorithm through a set of computational study in solving the constrained global optimization problems. Computational study indicates the robustness and the effectiveness of the WSA in terms of obtained results, reached level of convergence and the capability of coping with the problems of premature convergence, trapping in a local optima and stagnation.