الگوریتم سیستم ذرات باردار مقیاس شده برای طراحی بهینه قاب‌های فولادی

نویسندگان

1 دانشکده مهندسی عمران، دانشگاه تبریز

2 گروه مهندسی سازه دانشکده مهندسی عمران دتنشگاه تبریز

3 دانشکده عمران، دانشگاه علم و صنعت ایران

چکیده

در این مقاله طراحی بهینه‌ قاب‌های فولادی مورد بررسی قرارگرفته است. بدین منظور با اضافه نمودن دو مفهوم مقیاس کردن و متناسب نمودن به الگوریتم سیستم ذرات باردار (CSS)، الگوریتم سیستم ذرات باردار مقیاس شده (SCSS) به دست آمده است. الگوریتم جدید دارای جواب‌های قابل اعتمادی است. صحت و قدرت این الگوریتم به کمک یک مثال مبنای سازه­ای و یک مثال کاربردی شناخته شده ارزیابی شده است. با بررسی نتایج حاصل از بهینه­سازی مثال­ها می­توان نتیجه گرفت که الگوریتم تغییر یافته توانایی یافتن جواب­های نزدیک به هم در اجراهای مختلف را دارد.

کلیدواژه‌ها


عنوان مقاله [English]

Scaled Charged System Search Algorithm for Optimum Design of Steel Frames

نویسندگان [English]

  • Hossein Moez 1
  • Nasser Taghizadieh 2
  • Ali Kaveh 3
1 Department of Civil Engineering, University of Tabriz, Tabriz
2 Dept. of Structure, Faculty of Civil Engineering, University of Tabriz
3 Department of Civil Engineering, Iran University of Science and technology, Tehran
چکیده [English]

With increasing demand for large scale and complex structural models, optimum design has become a challenging and important issue in structural engineering and meta-heuristic algorithms have become powerful tools for optimal design of structures. Charged System Search (CSS) is one of the meta-heuristics, inspired by the governing laws of electrical physics and the Newtonian mechanics, Kaveh and Talatahari (2010). CSS based optimum design of structures needs adjustments for variable based and problem based constraints. The first adjustment guarantees to select from predefined cross sections and as a result, all specifications of sections will be ready to run the analysis and the second one helps to find the optimum design in fewer steps.

کلیدواژه‌ها [English]

  • Optimal design
  • Frame structures
  • scaled charged system search
  • meta-heuristic algorithm
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