Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Abdelaziz Bouroumi"'
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4724 (2022)
In this paper, we propose a new neural architecture for object classification, made up from a set of competitive layers whose number and size are dynamically learned from training data using a two-step process that combines unsupervised and supervise
Externí odkaz:
https://doaj.org/article/5f63819f74d04e77aba2ef5098597bf8
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 6, Iss 1 (2013)
The Control of Genetic Algorithms parameters allows to optimize the search process and improves the performance of the algorithm. Moreover it releases the user to dive into a game process of trial and failure to find the optimal parameters.
Externí odkaz:
https://doaj.org/article/7ef9af76f90744c5869d984ec07af39c
Autor:
Rkia Fajr, Abdelaziz Bouroumi
Publikováno v:
Journal of Intelligent Systems, Vol 29, Iss 1, Pp 127-142 (2017)
This paper introduces a new variant of the particle swarm optimization (PSO) algorithm, designed for global optimization of multidimensional functions. The goal of this variant, called ImPSO, is to improve the exploration and exploitation abilities o
Autor:
Yassine Berradi, Abdelaziz Bouroumi
Publikováno v:
Contemporary Engineering Sciences. 10:145-155
Publikováno v:
Applied Mathematical Sciences. 8:147-156
Autor:
Abdelaziz Bouroumi, Youssef Safi
Publikováno v:
Scopus-Elsevier
Publikováno v:
Applied Mathematical Sciences. 7:4415-4423
Publikováno v:
International Journal of Automation and Computing. 9:616-626
Recently, genetic algorithms (GAs) have been applied to multi-modal dynamic optimization (MDO). In this kind of optimization, an algorithm is required not only to find the multiple optimal solutions but also to locate a dynamically changing optimum.
Publikováno v:
International Journal of Soft Computing. 7:191-198
Publikováno v:
International Journal of Soft Computing. 6:68-74