Evolutionary Strategies for Tuning Continuous Processing Parameters

Шамсиев, Р.З.

Рақамли технологияларнинг назарий ва амалий масалалари · 2026-yil

Annotatsiya

Modern methods of data and space image processing - filtering, segmentation, classification, and restoration - require precise setup of a multitude of continuous parameters that determine the behavior of algorithms and the quality of results. Traditional gradient optimization methods demonstrate limited effectiveness in multi-mode, non-smooth, or noisy target functions. This work examines the application of evolutionary strategies (ES) - in particular, CMA-ES and Differential Evolution - for automatic adjustment of satellite and hyperspectral image processing parameters. A CMA-ES/DE hybrid scheme is proposed, combining the adaptation of the covariance matrix with directed difference mutations, ensuring stable and precise convergence in anisotropic parameter spaces. Experimental results on Landsat-9 data showed a decrease in the root mean square error by approximately 58% compared to the initial values, as well as an advantage over traditional methods (Otsu, K-Means, Watershed) by 6-12% in terms of segmentation accuracy.

Maqola ma’lumotlari
MualliflarШамсиев, Р.З.
JurnalРақамли технологияларнинг назарий ва амалий масалалари
NashriyotТАТУ Самарқанд филиали
ISSN2181-3086, 2181-3094
Nashr sanasi2026-05-14
Jild9
Son2
Betlar20-29
TilIngliz
Ilmiy sohaTexnika
DOI10.62132/ijdt.v9i2.373
Indeksga qo‘shilgan2026-08-26

DOI: 10.62132/ijdt.v9i2.373 · Maqolaning asl sahifasi

Kalit so‘zlar

эволюционные стратегии, CMA-ES, дифференциальная эволюция, оптимизация параметров, обработка снимков, дистанционное зондирование Земли, гиперспектральные снимки, машинное обучение, evolutionary strategies, CMA-ES, differential evolution, parameter optimization, image processing, remote sensing of the Earth, hyperspectral images, machine learning

Ilmiy soha

Texnika

Iqtibos keltirish

APAШамсиев, Р.З. (2026). Evolutionary Strategies for Tuning Continuous Processing Parameters. Рақамли технологияларнинг назарий ва амалий масалалари, 9(2), 20-29. https://doi.org/10.62132/ijdt.v9i2.373
GOST (OAK)Шамсиев, Р.З. Evolutionary Strategies for Tuning Continuous Processing Parameters // Рақамли технологияларнинг назарий ва амалий масалалари. – 2026. – T. 9, № 2. – P. 20-29. – DOI: 10.62132/ijdt.v9i2.373.
MLAШамсиев, Р.З. “Evolutionary Strategies for Tuning Continuous Processing Parameters.” Рақамли технологияларнинг назарий ва амалий масалалари, 9(2), 20-29, 2026. https://doi.org/10.62132/ijdt.v9i2.373
ChicagoШамсиев, Р.З. “Evolutionary Strategies for Tuning Continuous Processing Parameters.” Рақамли технологияларнинг назарий ва амалий масалалари, 9(2), 20-29 (2026). https://doi.org/10.62132/ijdt.v9i2.373
HarvardШамсиев, Р.З (2026) ‘Evolutionary Strategies for Tuning Continuous Processing Parameters’, Рақамли технологияларнинг назарий ва амалий масалалари, 9(2), 20-29. https://doi.org/10.62132/ijdt.v9i2.373
BibTeX
@article{article2026,
  title = {Evolutionary Strategies for Tuning Continuous Processing Parameters},
  author = {Шамсиев, Р.З.},
  journal = {Рақамли технологияларнинг назарий ва амалий масалалари},
  year = {2026},
  volume = {9},
  number = {2},
  pages = {20-29},
  doi = {10.62132/ijdt.v9i2.373},
  url = {https://doi.org/10.62132/ijdt.v9i2.373}
}

Boshqa maqola uchun iqtibos tayyorlash

Рақамли технологияларнинг назарий ва амалий масалалари jurnalidan boshqa maqolalar

Рақамли технологияларнинг назарий ва амалий масалалари — barcha maqolalar · 2026-yil arxivi

Texnika sohasidagi boshqa maqolalar

Texnika sohasidagi OAK jurnallari