Convergence dynamics of biochemical pathway steady state stochastic global optimization

Ivars Mozga; Egils Stalidzans

doi:10.1109/CINTI.2011.6108504

Convergence dynamics of biochemical pathway steady state stochastic global optimization

Ivars Mozga^*
, Egils Stalidzans

^*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

The stochastic nature of convergence of steady state stochastic global optimization methods in design optimization tasks with steady state precondition is a hardly predictable step in development of industrially efficient strains of microorganisms.

Original language	English
Title of host publication	12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings
Pages	231-235
Number of pages	5
DOIs	https://doi.org/10.1109/CINTI.2011.6108504
Publication status	Published - 2011
Externally published	Yes
Event	12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Budapest, Hungary Duration: 21 Nov 2011 → 22 Nov 2011

Publication series

Name	12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings

Conference

Conference	12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011
Country/Territory	Hungary
City	Budapest
Period	21/11/11 → 22/11/11

OECD Field of Science

1.2 Computer and Information Sciences

Access to Document

10.1109/CINTI.2011.6108504

Cite this

Mozga, I., & Stalidzans, E. (2011). Convergence dynamics of biochemical pathway steady state stochastic global optimization. In 12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings (pp. 231-235). Article 6108504 (12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings). https://doi.org/10.1109/CINTI.2011.6108504

@inproceedings{5cb98dcaa17e49d69139005aef485e18,

title = "Convergence dynamics of biochemical pathway steady state stochastic global optimization",

abstract = "The stochastic nature of convergence of steady state stochastic global optimization methods in design optimization tasks with steady state precondition is a hardly predictable step in development of industrially efficient strains of microorganisms.",

author = "Ivars Mozga and Egils Stalidzans",

year = "2011",

doi = "10.1109/CINTI.2011.6108504",

language = "English",

isbn = "9781457700453",

series = "12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings",

pages = "231--235",

booktitle = "12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings",

note = "12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 ; Conference date: 21-11-2011 Through 22-11-2011",

}

Mozga, I & Stalidzans, E 2011, Convergence dynamics of biochemical pathway steady state stochastic global optimization. in 12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings., 6108504, 12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings, pp. 231-235, 12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011, Budapest, Hungary, 21/11/11. https://doi.org/10.1109/CINTI.2011.6108504

Convergence dynamics of biochemical pathway steady state stochastic global optimization. / Mozga, Ivars; Stalidzans, Egils.
12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings. 2011. p. 231-235 6108504 (12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings).

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

TY - GEN

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AU - Mozga, Ivars

AU - Stalidzans, Egils

PY - 2011

Y1 - 2011

N2 - The stochastic nature of convergence of steady state stochastic global optimization methods in design optimization tasks with steady state precondition is a hardly predictable step in development of industrially efficient strains of microorganisms.

AB - The stochastic nature of convergence of steady state stochastic global optimization methods in design optimization tasks with steady state precondition is a hardly predictable step in development of industrially efficient strains of microorganisms.

UR - https://www.scopus.com/pages/publications/84855936073

UR - https://ieeexplore.ieee.org/document/6108504

U2 - 10.1109/CINTI.2011.6108504

DO - 10.1109/CINTI.2011.6108504

M3 - Conference paper

AN - SCOPUS:84855936073

SN - 9781457700453

T3 - 12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings

SP - 231

EP - 235

BT - 12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings

T2 - 12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011

Y2 - 21 November 2011 through 22 November 2011

ER -

Mozga I, Stalidzans E. Convergence dynamics of biochemical pathway steady state stochastic global optimization. In 12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings. 2011. p. 231-235. 6108504. (12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings). doi: 10.1109/CINTI.2011.6108504

Convergence dynamics of biochemical pathway steady state stochastic global optimization

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