Standard
Statistical estimation in global random search algorithms in case of large dimensions. / Pepelyshev, Andrey; Kornikov, Vladimir; Zhigljavsky, Anatoly.
Learning and Intelligent Optimization - 11th International Conference, LION 11, Revised Selected Papers. ed. / Dmitri E. Kvasov; Yaroslav D. Sergeyev; Roberto Battiti; Roberto Battiti; Dmitri E. Kvasov; Yaroslav D. Sergeyev. Springer Nature, 2017. p. 364-369 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10556 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Harvard
Pepelyshev, A
, Kornikov, V & Zhigljavsky, A 2017,
Statistical estimation in global random search algorithms in case of large dimensions. in DE Kvasov, YD Sergeyev, R Battiti, R Battiti, DE Kvasov & YD Sergeyev (eds),
Learning and Intelligent Optimization - 11th International Conference, LION 11, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10556 LNCS, Springer Nature, pp. 364-369, 11th International Conference on Learning and Intelligent Optimization, LION 2017, Nizhny Novgorod, Russian Federation,
18/06/17.
https://doi.org/10.1007/978-3-319-69404-7_32APA
Pepelyshev, A.
, Kornikov, V., & Zhigljavsky, A. (2017).
Statistical estimation in global random search algorithms in case of large dimensions. In D. E. Kvasov, Y. D. Sergeyev, R. Battiti, R. Battiti, D. E. Kvasov, & Y. D. Sergeyev (Eds.),
Learning and Intelligent Optimization - 11th International Conference, LION 11, Revised Selected Papers (pp. 364-369). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10556 LNCS). Springer Nature.
https://doi.org/10.1007/978-3-319-69404-7_32Vancouver
Pepelyshev A
, Kornikov V, Zhigljavsky A.
Statistical estimation in global random search algorithms in case of large dimensions. In Kvasov DE, Sergeyev YD, Battiti R, Battiti R, Kvasov DE, Sergeyev YD, editors, Learning and Intelligent Optimization - 11th International Conference, LION 11, Revised Selected Papers. Springer Nature. 2017. p. 364-369. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
https://doi.org/10.1007/978-3-319-69404-7_32Author
Pepelyshev, Andrey
; Kornikov, Vladimir ; Zhigljavsky, Anatoly. /
Statistical estimation in global random search algorithms in case of large dimensions. Learning and Intelligent Optimization - 11th International Conference, LION 11, Revised Selected Papers. editor / Dmitri E. Kvasov ; Yaroslav D. Sergeyev ; Roberto Battiti ; Roberto Battiti ; Dmitri E. Kvasov ; Yaroslav D. Sergeyev. Springer Nature, 2017. pp. 364-369 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
BibTeX
@inproceedings{a405c368a6a543c083b4ac8bc4490ba3,
title = "Statistical estimation in global random search algorithms in case of large dimensions",
abstract = "We study asymptotic properties of optimal statistical estimators in global random search algorithms when the dimension of the feasible domain is large. The results obtained can be helpful in deciding what sample size is required for achieving a given accuracy of estimation.",
keywords = "Estimation of end-point, Extreme value, Global optimization, Random search",
author = "Andrey Pepelyshev and Vladimir Kornikov and Anatoly Zhigljavsky",
year = "2017",
month = jan,
day = "1",
doi = "10.1007/978-3-319-69404-7_32",
language = "English",
isbn = "9783319694030",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "364--369",
editor = "Kvasov, {Dmitri E.} and Sergeyev, {Yaroslav D.} and Roberto Battiti and Roberto Battiti and Kvasov, {Dmitri E.} and Sergeyev, {Yaroslav D.}",
booktitle = "Learning and Intelligent Optimization - 11th International Conference, LION 11, Revised Selected Papers",
address = "Germany",
note = "11th International Conference on Learning and Intelligent Optimization, LION 2017 ; Conference date: 18-06-2017 Through 20-06-2017",
}
RIS
TY - GEN
T1 - Statistical estimation in global random search algorithms in case of large dimensions
AU - Pepelyshev, Andrey
AU - Kornikov, Vladimir
AU - Zhigljavsky, Anatoly
PY - 2017/1/1
Y1 - 2017/1/1
N2 - We study asymptotic properties of optimal statistical estimators in global random search algorithms when the dimension of the feasible domain is large. The results obtained can be helpful in deciding what sample size is required for achieving a given accuracy of estimation.
AB - We study asymptotic properties of optimal statistical estimators in global random search algorithms when the dimension of the feasible domain is large. The results obtained can be helpful in deciding what sample size is required for achieving a given accuracy of estimation.
KW - Estimation of end-point
KW - Extreme value
KW - Global optimization
KW - Random search
UR - http://www.scopus.com/inward/record.url?scp=85034237755&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-69404-7_32
DO - 10.1007/978-3-319-69404-7_32
M3 - Conference contribution
AN - SCOPUS:85034237755
SN - 9783319694030
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 364
EP - 369
BT - Learning and Intelligent Optimization - 11th International Conference, LION 11, Revised Selected Papers
A2 - Kvasov, Dmitri E.
A2 - Sergeyev, Yaroslav D.
A2 - Battiti, Roberto
A2 - Battiti, Roberto
A2 - Kvasov, Dmitri E.
A2 - Sergeyev, Yaroslav D.
PB - Springer Nature
T2 - 11th International Conference on Learning and Intelligent Optimization, LION 2017
Y2 - 18 June 2017 through 20 June 2017
ER -
