Zobrazeno 1 - 10
of 1 915
pro vyhledávání: '"Genetic operator"'
Autor:
Said Hraoui, Abdellatif JarJar
Publikováno v:
SN Applied Sciences, Vol 4, Iss 4, Pp 1-18 (2022)
Abstract This article describes a new cryptosystem that incorporates the most powerful genetic operators. With the aim of better integration in the field of color image encryption security, this technique starts with the application of an advanced Fe
Externí odkaz:
https://doaj.org/article/46fcdc5bc1bd434d83fcfd481daf1fbc
Autor:
Man Kang, Mingsheng Wang
Publikováno v:
IEEE Access, Vol 10, Pp 10898-10906 (2022)
The boomerang uniformity measures the resistance of block ciphers to boomerang attacks and has become an essential criterion of the substitution box (S-box). However, the S-box es created by the Feistel structure have a poor property of boomerang uni
Externí odkaz:
https://doaj.org/article/0b49fd0895e54fa18096856091501c40
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Z.K. Hou
Publikováno v:
Компьютерная оптика, Vol 44, Iss 5, Pp 843-847 (2020)
In the development of modern logistics, the role of automated cargo warehousing is gradually reflected, which is essential for the automatic distribution of goods. This paper briefly introduced the automatic location allocation model and the particle
Externí odkaz:
https://doaj.org/article/4228194d7cb84f219cdc393d604adf97
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
IEEE Access, Vol 7, Pp 137251-137265 (2019)
The 0-1 knapsack problem is a typical discrete combinatorial optimization problem with numerous applications. In this paper, a binary multi-scale quantum harmonic oscillator algorithm (BMQHOA) with genetic operator is proposed for solving 0-1 knapsac
Externí odkaz:
https://doaj.org/article/0b0350f19ef74504aa4183efe52edc7c
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Tianhua Jiang, Chao Zhang
Publikováno v:
IEEE Access, Vol 6, Pp 26231-26240 (2018)
Grey wolf optimization (GWO) algorithm is a new population-oriented intelligence algorithm, which is originally proposed to solve continuous optimization problems inspired from the social hierarchy and hunting behaviors of grey wolves. It has been pr
Externí odkaz:
https://doaj.org/article/8829dfde38894e6794b4b52f62064827
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:4861-4875
It has been widely recognized that the efficient training of neural networks (NNs) is crucial to classification performance. While a series of gradient-based approaches have been extensively developed, they are criticized for the ease of trapping int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d33483c86cf1fb665694611e68951fd
https://doi.org/10.1109/tnnls.2021.3061630
https://doi.org/10.1109/tnnls.2021.3061630
Publikováno v:
International Journal of Intelligent Systems and Applications in Engineering; Vol. 11 No. 3 (2023): (Articles in Press); 326-333
Using a data warehouse method, data from several heterogeneous and dispersed operating systems (OLTP) is retrieved, converted, and put into a centralized repository. It is primarily used to process queries and thoroughly analyze data that is importan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=issn21476799::53ab2720a8211851741be528ef564aee
https://www.ijisae.org/index.php/IJISAE/article/view/3173
https://www.ijisae.org/index.php/IJISAE/article/view/3173