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

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 distri...

Full description

Saved in:
Bibliographic Details
Published inJournal of global optimization Vol. 77; no. 1; pp. 157 - 173
Main Authors Ramanauskas, Mikalojus, Šešok, Dmitrij, Žilinskas, Julius, Starikovičius, Vadimas, Kačeniauskas, Arnas, Belevičius, Rimantas
Format Journal Article
LanguageEnglish
Published New York Springer US 01.05.2020
Springer
Springer Nature B.V
Subjects
Algorithms
Analysis
Computational grids
Computer Science
Computer simulation
Foundations
Genetic algorithms
Genetic research
Global optimization
Infrastructure
Mathematics
Mathematics and Statistics
Middleware
Operations Research/Decision Theory
Optimization
Real Functions
Simulated annealing
Global optimization
Distributed computing
BOINC
Grillage optimization
Genetic algorithms
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:0925-5001
1573-2916
DOI:10.1007/s10898-019-00838-2