Global optimization of grillage-type foundations using a distributed genetic algorithm

Mikalojus Ramanauskas (), Dmitrij Šešok (), Julius Žilinskas (), Vadimas Starikovičius (), Arnas Kačeniauskas () and Rimantas Belevičius ()
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Mikalojus Ramanauskas: Vilnius Gediminas Technical University
Dmitrij Šešok: Vilnius Gediminas Technical University
Julius Žilinskas: Vilnius University Institute of Data Science and Digital Technologies
Vadimas Starikovičius: Vilnius Gediminas Technical University
Arnas Kačeniauskas: Vilnius Gediminas Technical University
Rimantas Belevičius: Vilnius Gediminas Technical University

Journal of Global Optimization, 2020, vol. 77, issue 1, No 9, 157-173

Abstract: Abstract In this paper, the optimal design of grillage-type foundations is considered. A difficult black-box global optimization problem should be solved to find the optimal positions of piles in this type of foundations. The goal of the research was to enable the solution of real grillage problems by distributed (volunteer) computing using the open infrastructure for network computing BOINC. A distributed genetic algorithm has been developed as well as its implementation on a computational BOINC platform. The algorithm is adapted to suit the BOINC platform and cope with possible occasional faults of client computers. The results of the proposed algorithm are compared with those attained by using the simulated annealing algorithm running on a computational grid infrastructure which previously showed the best performance. The results on 10 real grillage foundations and quantitative comparison reveal that the performance of the proposed algorithm is better.

Keywords: Global optimization; Genetic algorithms; Distributed computing; BOINC; Grillage optimization (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s10898-019-00838-2

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