کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
395672 666000 2011 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Polynomial modeling for time-varying systems based on a particle swarm optimization algorithm
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Polynomial modeling for time-varying systems based on a particle swarm optimization algorithm
چکیده انگلیسی

In this paper, an effective particle swarm optimization (PSO) is proposed for polynomial models for time varying systems. The basic operations of the proposed PSO are similar to those of the classical PSO except that elements of particles represent arithmetic operations and variables of time-varying models. The performance of the proposed PSO is evaluated by polynomial modeling based on various sets of time-invariant and time-varying data. Results of polynomial modeling in time-varying systems show that the proposed PSO outperforms commonly used modeling methods which have been developed for solving dynamic optimization problems including genetic programming (GP) and dynamic GP. An analysis of the diversity of individuals of populations in the proposed PSO and GP reveals why the proposed PSO obtains better results than those obtained by GP.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 181, Issue 9, 1 May 2011, Pages 1623–1640
نویسندگان
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