کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
511610 865879 2010 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identification of Bouc–Wen hysteretic systems using particle swarm optimization
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Identification of Bouc–Wen hysteretic systems using particle swarm optimization
چکیده انگلیسی

In this paper, two variants of the particle swarm optimization (PSO) algorithm are employed for the identification of Bouc–Wen hysteretic systems. The first variant is simple while the other is enhanced, as it implements additional operators. The algorithms are utilized for the identification of a Bouc–Wen hysteretic system that represents a full scale bolted–welded steel connection. The purpose of this work is to assess their comparative performance against other evolutionary algorithms in a highly non-linear identification problem on various levels of computational budget. The enhanced PSO algorithm outperforms its competitors in terms of both accuracy and robustness.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Structures - Volume 88, Issues 21–22, November 2010, Pages 1197–1205
نویسندگان
, ,