Bayes approach to solving T.E.A.M. benchmark problems 22 and 25 and its comparison with other optimization techniques

The Bayes approach is used for solution of benchmark problems 22 and 25. The main purpose of the paper is to evaluate its applicability for solving complex technical problems (up to now, this technique was only very rarely used in the domain of such tasks). The parameters of this approach are compar...

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Bibliographic Details
Published in:Applied mathematics and computation Vol. 319; pp. 681 - 692
Main Authors: Karban, Pavel, Kropík, Petr, Kotlan, Václav, Doležel, Ivo
Format: Journal Article
Language:English
Published: Elsevier Inc 15.02.2018
Subjects:
Bayes optimization
Benchmark
Deterministic algorithms
Finite element method
Heuristic algorithms
Numerical modeling
Numerical modeling
Finite element method
Benchmark
Bayes optimization
Heuristic algorithms
Deterministic algorithms
ISSN:0096-3003, 1873-5649
Online Access:Get full text
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Summary:The Bayes approach is used for solution of benchmark problems 22 and 25. The main purpose of the paper is to evaluate its applicability for solving complex technical problems (up to now, this technique was only very rarely used in the domain of such tasks). The parameters of this approach are compared with characteristics of several other heuristic and deterministic optimization techniques implemented in commercial code COMSOL Multiphysics and own open-source application Agros Suite. The results confirm that the Bayes approach is superior in a number of aspects and for the solution of real-life tasks it represents a powerful and prospective alternative to existing optimization methods
ISSN:0096-3003
1873-5649
DOI:10.1016/j.amc.2017.07.043