با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
دسته بندی:
پردازش موازی - Parallel processing
سال انتشار:
2017
عنوان انگلیسی مقاله:
A parallel structure exploiting nonlinear programming algorithm for multiperiod dynamic optimization
ترجمه فارسی عنوان مقاله:
یک ساختار موازی الگوریتم برنامه نویسی غیر خطی برای بهینه سازی پویای چند دوره ای
منبع:
Sciencedirect - Elsevier - Computers and Chemical Engineering, 103 (2017) 151-164: doi:10:1016/j:compchemeng:2017:03:021
نویسنده:
I.D. Washington, C.L.E. Swartz
چکیده انگلیسی:
This article develops a sequential quadratic programming (SQP) algorithm that utilizes a parallel interior
point method (IPM) for the QP subproblems. Our approach is able to efficiently decompose and solve
large-scale multiperiod nonlinear programming (NLP) formulations with embedded dynamic model
representations, through the use of an explicit Schur-complement decomposition within the IPM. The
algorithm implementation makes use of a computing environment that uses the parallel distributed
computingmessagepassinginterface(MPI)andspecializedvector-matrixclassrepresentations,asimple
mented in the third-party software package, OOPS. The proposed approach is assessed, with a focus on
computational speedup, using several benchmark examples involving applications of parameter estima
tion and design under uncertainty which utilize static and dynamic models. Results indicate significant
improvements in the NLP solution speedup when moving from a serial full-space direct factorization
approach, to a serial Schur-complement decomposition, to a parallelized Schur-complement decompo
sition for the primal-dual linear system solution within the IPM.
Keywords: Multiperiod dynamic optimization | Multiple-shooting | Sequential quadratic programming | Interior-point methods | Parallel computing
قیمت: رایگان
توضیحات اضافی:
تعداد نظرات : 0