کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4630517 1340601 2012 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel particle swarm optimization algorithm based on particle migration
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
A novel particle swarm optimization algorithm based on particle migration
چکیده انگلیسی

Inspired by the migratory behavior in the nature, a novel particle swarm optimization algorithm based on particle migration (MPSO) is proposed in this work. In this new algorithm, the population is randomly partitioned into several sub-swarms, each of which is made to evolve based on particle swarm optimization with time varying inertia weight and acceleration coefficients (LPSO-TVAC). At periodic stage in the evolution, some particles migrate from one complex to another to enhance the diversity of the population and avoid premature convergence. It further improves the ability of exploration and exploitation. Simulations for benchmark test functions illustrate that the proposed algorithm possesses better ability to find the global optima than other variants and is an effective global optimization tool.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 218, Issue 11, 5 February 2012, Pages 6620–6626
نویسندگان
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