Two stage optimization of biochemical pathways using parallel runs of global stochastic optimization methods

E. Stalidzans; A. Kostromins; J. Sulins

doi:10.1109/CINTI.2012.6496792

Two stage optimization of biochemical pathways using parallel runs of global stochastic optimization methods

E. Stalidzans^*
, A. Kostromins
, J. Sulins

^*Corresponding author for this work

Latvia University of Life Sciences and Technologies

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review

2 Citations (Scopus)

Abstract

A disadvantage of global stochastic optimization methods is the stochastic convergence of the best value of the objective function to the global optimum. In spite those methods are widely used optimizing kinetic models of biochemical pathways. Moreover, the growing number of adjustable parameters in the model leads to combinatorial explosion of combinations of adjustable parameters if the best combination per number of adjustable parameters in the combination has to be found.

Original language	English
Title of host publication	CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings
Pages	365-369
Number of pages	5
DOIs	https://doi.org/10.1109/CINTI.2012.6496792
Publication status	Published - 2012
Externally published	Yes
Event	13th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2012 - Budapest, Hungary Duration: 20 Nov 2012 → 22 Nov 2012

Publication series

Name	CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings

Conference

Conference	13th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2012
Country/Territory	Hungary
City	Budapest
Period	20/11/12 → 22/11/12

OECD Field of Science

1.2 Computer and Information Sciences

Keywords

biochemical pathways
ConvAn
COPASI
CoRunner
global stochastic optimization method
parallel runs

Access to Document

10.1109/CINTI.2012.6496792

Cite this

Stalidzans, E., Kostromins, A., & Sulins, J. (2012). Two stage optimization of biochemical pathways using parallel runs of global stochastic optimization methods. In CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings (pp. 365-369). Article 6496792 (CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings). https://doi.org/10.1109/CINTI.2012.6496792

Stalidzans, E. ; Kostromins, A. ; Sulins, J. / Two stage optimization of biochemical pathways using parallel runs of global stochastic optimization methods. CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings. 2012. pp. 365-369 (CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings).

@inproceedings{7a49f7b881674259b7483e2eed0e5e87,

title = "Two stage optimization of biochemical pathways using parallel runs of global stochastic optimization methods",

abstract = "A disadvantage of global stochastic optimization methods is the stochastic convergence of the best value of the objective function to the global optimum. In spite those methods are widely used optimizing kinetic models of biochemical pathways. Moreover, the growing number of adjustable parameters in the model leads to combinatorial explosion of combinations of adjustable parameters if the best combination per number of adjustable parameters in the combination has to be found.",

keywords = "biochemical pathways, ConvAn, COPASI, CoRunner, global stochastic optimization method, parallel runs",

author = "E. Stalidzans and A. Kostromins and J. Sulins",

year = "2012",

doi = "10.1109/CINTI.2012.6496792",

language = "English",

isbn = "9781467352062",

series = "CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings",

pages = "365--369",

booktitle = "CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings",

note = "13th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2012 ; Conference date: 20-11-2012 Through 22-11-2012",

}

Stalidzans, E, Kostromins, A & Sulins, J 2012, Two stage optimization of biochemical pathways using parallel runs of global stochastic optimization methods. in CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings., 6496792, CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings, pp. 365-369, 13th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2012, Budapest, Hungary, 20/11/12. https://doi.org/10.1109/CINTI.2012.6496792

Two stage optimization of biochemical pathways using parallel runs of global stochastic optimization methods. / Stalidzans, E.; Kostromins, A.; Sulins, J.
CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings. 2012. p. 365-369 6496792 (CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review

TY - GEN

T1 - Two stage optimization of biochemical pathways using parallel runs of global stochastic optimization methods

AU - Stalidzans, E.

AU - Kostromins, A.

AU - Sulins, J.

PY - 2012

Y1 - 2012

N2 - A disadvantage of global stochastic optimization methods is the stochastic convergence of the best value of the objective function to the global optimum. In spite those methods are widely used optimizing kinetic models of biochemical pathways. Moreover, the growing number of adjustable parameters in the model leads to combinatorial explosion of combinations of adjustable parameters if the best combination per number of adjustable parameters in the combination has to be found.

AB - A disadvantage of global stochastic optimization methods is the stochastic convergence of the best value of the objective function to the global optimum. In spite those methods are widely used optimizing kinetic models of biochemical pathways. Moreover, the growing number of adjustable parameters in the model leads to combinatorial explosion of combinations of adjustable parameters if the best combination per number of adjustable parameters in the combination has to be found.

KW - biochemical pathways

KW - ConvAn

KW - COPASI

KW - CoRunner

KW - global stochastic optimization method

KW - parallel runs

UR - https://www.scopus.com/pages/publications/84876901371

UR - https://ieeexplore.ieee.org/document/6496792

U2 - 10.1109/CINTI.2012.6496792

DO - 10.1109/CINTI.2012.6496792

M3 - Conference paper

AN - SCOPUS:84876901371

SN - 9781467352062

T3 - CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings

SP - 365

EP - 369

BT - CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings

T2 - 13th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2012

Y2 - 20 November 2012 through 22 November 2012

ER -

Stalidzans E, Kostromins A, Sulins J. Two stage optimization of biochemical pathways using parallel runs of global stochastic optimization methods. In CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings. 2012. p. 365-369. 6496792. (CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings). doi: 10.1109/CINTI.2012.6496792

Two stage optimization of biochemical pathways using parallel runs of global stochastic optimization methods

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OECD Field of Science

Keywords

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