کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6708477 502946 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A hybrid shared/distributed memory parallel genetic algorithm for optimization of laminate composites
ترجمه فارسی عنوان
یک الگوریتم ژنتیکی موازی مشترک / توزیع شده ترکیبی برای بهینه سازی کامپوزیت های ورقه ای
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
چکیده انگلیسی
This work presents a genetic algorithm combining two types of computational parallelization methods, resulting in a hybrid shared/distributed memory algorithm based on the island model using both OpenMP and MPI libraries. In order to take further advantage of the island configuration, different genetic parameters are used in each one, allowing the consideration of multiple evolution environments concurrently. To specifically treat composite structures, a three-chromosome variable encoding and special laminate operators are used. The resulting gains in execution time due to the parallel implementation allow the use of high fidelity analysis procedures based on the Finite Element Method in the optimization of composite laminate plates and shells. Two numerical examples are presented in order to assess the performance and reliability of the proposed algorithm.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Composite Structures - Volume 107, January 2014, Pages 288-297
نویسندگان
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