Parallelization of computational algorithms for optimization problems with high time consumption

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 follow...

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Bibliographic Details
Main Authors: Vaško, Milan, Handrik, Marián, Sapietová, Alžbeta, Handriková, Jana
Format: Conference Proceeding
Language:English
Subjects:
ADINA
BOINC
Computation
Computer networks
distributed computing systems
Distributed processing
Evolutionary algorithms
FE analysis
MATLAB
Optimization
Optimization algorithms
Parallel processing
parallelization
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Description
Summary: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.
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/201815702054