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Energy-Efficient Regular Strip Covering with Fixed-Size Identical Sectors. / Erzin, Adil; Anikeev, Maxim.

Communications in Computer and Information Science. Springer Science and Business Media Deutschland GmbH, 2024. p. 161-171 11 (Communications in Computer and Information Science; Vol. 2239 CCIS).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Harvard

Erzin, A & Anikeev, M 2024, Energy-Efficient Regular Strip Covering with Fixed-Size Identical Sectors. in Communications in Computer and Information Science., 11, Communications in Computer and Information Science, vol. 2239 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 161-171, 23rd International Conference on Mathematical Optimization Theory and Operations Research, Омск, Russian Federation, 30.06.2024. https://doi.org/10.1007/978-3-031-73365-9_11

APA

Erzin, A., & Anikeev, M. (2024). Energy-Efficient Regular Strip Covering with Fixed-Size Identical Sectors. In Communications in Computer and Information Science (pp. 161-171). [11] (Communications in Computer and Information Science; Vol. 2239 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-73365-9_11

Vancouver

Erzin A, Anikeev M. Energy-Efficient Regular Strip Covering with Fixed-Size Identical Sectors. In Communications in Computer and Information Science. Springer Science and Business Media Deutschland GmbH. 2024. p. 161-171. 11. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-73365-9_11

Author

Erzin, Adil ; Anikeev, Maxim. / Energy-Efficient Regular Strip Covering with Fixed-Size Identical Sectors. Communications in Computer and Information Science. Springer Science and Business Media Deutschland GmbH, 2024. pp. 161-171 (Communications in Computer and Information Science).

BibTeX

@inproceedings{c5d9b6bfa3d8418f997f34b398e7777d,
title = "Energy-Efficient Regular Strip Covering with Fixed-Size Identical Sectors",
abstract = "We consider the problem of covering a strip with identical sectors of given size in order to minimize the coverage density. Early in the literature, researchers considered the problems of constructing strip covers with circles, ellipses, and sectors of minimum density by proposing various covering models and determining the optimal values of the parameters of the covering figures for each model. In this paper, we consider identical sectors as covering figures and specify their parameters instead of optimizing them. We propose several new covering models and found a formula for calculating density for each model. Unfortunately, these formulas are quite cumbersome, which did not allow us to compare the densities of all covers analytically. Therefore, we defined some properties programmatically. As a result, a minimum density coverage model was determined for different values of the sector{\textquoteright}s parameters.",
keywords = "Density minimization, Regular strip covering",
author = "Adil Erzin and Maxim Anikeev",
year = "2024",
month = dec,
day = "20",
doi = "10.1007/978-3-031-73365-9_11",
language = "English",
isbn = "978-303173364-2",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "161--171",
booktitle = "Communications in Computer and Information Science",
address = "Germany",
note = "23rd International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2024 ; Conference date: 30-06-2024 Through 06-07-2024",

}

RIS

TY - GEN

T1 - Energy-Efficient Regular Strip Covering with Fixed-Size Identical Sectors

AU - Erzin, Adil

AU - Anikeev, Maxim

N1 - Conference code: 23

PY - 2024/12/20

Y1 - 2024/12/20

N2 - We consider the problem of covering a strip with identical sectors of given size in order to minimize the coverage density. Early in the literature, researchers considered the problems of constructing strip covers with circles, ellipses, and sectors of minimum density by proposing various covering models and determining the optimal values of the parameters of the covering figures for each model. In this paper, we consider identical sectors as covering figures and specify their parameters instead of optimizing them. We propose several new covering models and found a formula for calculating density for each model. Unfortunately, these formulas are quite cumbersome, which did not allow us to compare the densities of all covers analytically. Therefore, we defined some properties programmatically. As a result, a minimum density coverage model was determined for different values of the sector’s parameters.

AB - We consider the problem of covering a strip with identical sectors of given size in order to minimize the coverage density. Early in the literature, researchers considered the problems of constructing strip covers with circles, ellipses, and sectors of minimum density by proposing various covering models and determining the optimal values of the parameters of the covering figures for each model. In this paper, we consider identical sectors as covering figures and specify their parameters instead of optimizing them. We propose several new covering models and found a formula for calculating density for each model. Unfortunately, these formulas are quite cumbersome, which did not allow us to compare the densities of all covers analytically. Therefore, we defined some properties programmatically. As a result, a minimum density coverage model was determined for different values of the sector’s parameters.

KW - Density minimization

KW - Regular strip covering

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85214230840&origin=inward&txGid=9302c9f27394e8c94d5366437576232d

UR - https://www.mendeley.com/catalogue/a49012cd-d116-3108-ba10-33defb93e44e/

U2 - 10.1007/978-3-031-73365-9_11

DO - 10.1007/978-3-031-73365-9_11

M3 - Conference contribution

SN - 978-303173364-2

T3 - Communications in Computer and Information Science

SP - 161

EP - 171

BT - Communications in Computer and Information Science

PB - Springer Science and Business Media Deutschland GmbH

T2 - 23rd International Conference on Mathematical Optimization Theory and Operations Research

Y2 - 30 June 2024 through 6 July 2024

ER -

ID: 61412758