Experimental investigation of local searches for optimization of grillage-type foundations

Ivanikovas, Sergėjus; Filatovas, Ernestas; Žilinskas, Julius

Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/123610

Experimental investigation of local searches for optimization of grillage-type foundations

Details

Publication Type (CRIS)

Straipsnis konferencijos medžiagoje Web of Science duomenų bazėje / Article in conference proceedings in Web of Science database (P1a1)

Publication Type (eLABa)

Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB (P1a)

Author(s)

Author	Affiliation
Ivanikovas, Sergėjus	Matematikos ir informatikos institutas
Filatovas, Ernestas	Matematikos ir informatikos institutas
Žilinskas, Julius	Matematinio modeliavimo katedra / Department of Mathematical Modelling (1023)	Matematikos ir informatikos institutas

Title

Experimental investigation of local searches for optimization of grillage-type foundations

[en]

Sergejus Ivanikovas, Ernestas Filatovas, and Julius Žilinskas

Is part of

Parallel scientific computing and optimization: advances and application. Workshop of British and Lithuanian Scientists on High Performance Scientific Computing Druskininkai, LITHUANIA, FEB 05-08, 2008

Published In

Year	Start Page	End Page
2009	103	112

Publisher

New York : Springer, 2009

Publisher (trusted)

Springer

Referenced in Database(s)(DBs)

Conference Proceedings Citation Index - Science (Web of Science)

SpringerLink

Extent

p. 103-112

URI

URI
https://hdl.handle.net/20.500.14911/123610

Cited references

Science / Art Area

Gamtos mokslai / Natural Sciences (N)

Field of Science / Art

Matematika / Mathematics (N001)

Informatikos inžinerija / Informatics engineering (T007)

Abstract (en)

In grillage-type foundations, beams are supported by piles. The main goal of engineering design is to achieve the optimal pile placement scheme in which the minimal number of piles is used and all the reactive forces do not exceed the allowed values. This can be achieved by searching for the positions of piles where the difference between the maximal reactive forces and the limit magnitudes of reactions for the piles is minimal. In this study, the values of the objective function are given by a separate modeling package. Various algorithms for local optimization have been applied and their performance has been investigated and compared. Parallel computations have been used to speed-up experimental investigation.