文章基本信息

标题：Parallelization of computational algorithms for optimization problems with high time consumption
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作者：Milan Vaško ; Marián Handrik ; Alžbeta Sapietová 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2018
卷号：157
DOI：10.1051/matecconf/201815702054
语种：English
出版社：EDP Sciences
摘要：The paper presents an analysis of the use of optimization algorithms in parallel solutions and distributed computing systems. The primary goal is to use evolutionary algorithms and their implementation into parallel calculations. Parallelization of computational algorithms is suitable for the following cases - computational models with a large number of design variables or cases where the objective function evaluation is time consuming (FE analysis). As the software platform for application of distributed optimization algorithms is using MATLAB and BOINC software package.
关键词：enADINAMATLABBOINCoptimization algorithmsparallelizationdistributed computing systemsevolutionary algorithmsFE analysis