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

^*Šī darba korespondējošais autors

Latvia University of Life Sciences and Technologies

Zinātniskās darbības rezultāts: Nodaļa grāmatā/enciklopēdijā/konferences krājumā › Konferences zinātniskais raksts › Pētniecība › koleģiāli recenzēts

2 Atsauces (Scopus)

Kopsavilkums

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.

Oriģinālvaloda	Angļu
Publikācijas avota nosaukums	CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings
Lapas	365-369
Lapu skaits	5
DOIs	https://doi.org/10.1109/CINTI.2012.6496792
Publikācijas statuss	Publicēts - 2012
Ārēji publicēts	Jā
Pasākums	13th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2012 - Budapest, Ungārija Ilgums: 20 nov. 2012 → 22 nov. 2012

Publikāciju sērijas

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

Konference

Konference	13th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2012
Valsts/Teritorija	Ungārija
Pilsēta	Budapest
Periods	20/11/12 → 22/11/12

OECD Zinātnes nozare

1.2 Datorzinātne un informātika

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10.1109/CINTI.2012.6496792

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Stalidzans, E., Kostromins, A., & Sulins, J. (2012). Two stage optimization of biochemical pathways using parallel runs of global stochastic optimization methods. (gadā) CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings (lpp. 365-369). Zinātniskais raksts 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. lpp. 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. (kur) 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, lpp. 365-369, 13th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2012, Budapest, Ungārija, 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. lpp. 365-369 6496792 (CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings).

Zinātniskās darbības rezultāts: Nodaļa grāmatā/enciklopēdijā/konferences krājumā › Konferences zinātniskais raksts › Pētniecība › koleģiāli recenzēts

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. (gadā) CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings. 2012. lpp. 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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