Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Lamiche Chaabane"'
Autor:
Lamiche Chaabane
Publikováno v:
Computer Science Journal of Moldova, Vol 27, Iss 2(80), Pp 230-241 (2019)
In this research paper, we aim to present a hybrid algorithm in order to obtain a better solution to the single machine total weighted tardiness scheduling problem (SMTWT). Here, the proposed approach called guided genetic algorithm (GGA) is the comb
Externí odkaz:
https://doaj.org/article/2cd26b55d608417ba3fcf1707bd119d7
Autor:
Benazi, Makhlouf1 Makhlouf.benazi@univ-msila.dz, Lamiche, Chaabane1 Chaabane.lamiche@univ-msila.dz
Publikováno v:
Computer Science Journal of Moldova. 2020, Vol. 28 Issue 1, p104-119. 16p. 1 Diagram, 2 Charts, 3 Graphs.
Autor:
M. A. de Jesus, Vania V. Estrela, Abdeldjalil Khelassi, Andrey Terziev, Lamiche Chaabane, Nikolaos Andreopoulos
Publikováno v:
Advances in Multidisciplinary Medical Technologies ─ Engineering, Modeling and Findings ISBN: 9783030575519
In the bioinformatics realm, multiple sequence alignment (MSA) is an NP-hard problem. Nature-inspired methodologies configure potent tools to outsmart conventional optimization tactics to encounter an approximate solution for MSA. This investigatory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15a98604d6ef2e8b6a53c370ddfd3f81
https://doi.org/10.1007/978-3-030-57552-6_8
https://doi.org/10.1007/978-3-030-57552-6_8
Autor:
Lamiche Chaabane
Publikováno v:
Studies in Big Data ISBN: 9783030120474
In this work, we aim to develop a novel hybrid system (VNPSO) for solving multiple sequence alignment (MSA) problem. The presented procedure is a hybridization of particle swam optimization (PSO) algorithm and variable neighborhood descent (VND) meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7499ee69de2d5bb134ccdfbd3144d05
https://doi.org/10.1007/978-3-030-12048-1_11
https://doi.org/10.1007/978-3-030-12048-1_11
Autor:
Lamiche Chaabane
Publikováno v:
Studies in Big Data ISBN: 9783030120474
Actually, images are widely used in various real applications, such as Internet communication, multimedia systems, medical imaging, telemedicine, monitoring, and military communication, so their security is becoming very important. Basically, encrypt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b14a72474b3daca55f635370a809de0
https://doi.org/10.1007/978-3-030-12048-1_18
https://doi.org/10.1007/978-3-030-12048-1_18
Autor:
Lamiche Chaabane
Publikováno v:
International Journal of Data Mining, Modelling and Management. 13:1
In this research study, we aim to propose a novel cooperative approach called dynamic simulated particle swarm optimisation (DSPSO) which is based on metaheuristics and the pairwise dynamic program...
Autor:
Lamiche Chaabane
Publikováno v:
International Journal of Cloud Computing. 10:507
Autor:
Lamiche Chaabane
Publikováno v:
PAIS
In this paper, we aim to present a novel intelligent method based on stochastic techniques in order to tackle the multiple sequence alignment (MSA) problem. In this manner, the metropolis criterion is used to generate the initial population of partic
Autor:
Lamiche Chaabane
Publikováno v:
Computational Intelligence and Its Applications ISBN: 9783319897424
CIIA
IFIP Advances in Information and Communication Technology
6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA)
6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA), May 2018, Oran, Algeria. pp.185-195, ⟨10.1007/978-3-319-89743-1_17⟩
CIIA
IFIP Advances in Information and Communication Technology
6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA)
6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA), May 2018, Oran, Algeria. pp.185-195, ⟨10.1007/978-3-319-89743-1_17⟩
Part 2: Evolutionary Computation; International audience; In this research work, we propose a cooperative approach called simulated particle swarm optimization (SPSO) which is based on metaheuristics to find an approximate solution for the multiple s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cfc22bd59a6d9618e1d64f94b95eaed
https://doi.org/10.1007/978-3-319-89743-1_17
https://doi.org/10.1007/978-3-319-89743-1_17
Autor:
Lamiche Chaabane
Publikováno v:
2017 First International Conference on Embedded & Distributed Systems (EDiS).
In this paper, we aim to present a novel efficient approach called improved genetic simulated annealing algorithm (IGASA) in order to minimize the total weighted tardiness of n jobs on a single machine, which is recognized in the literature as a stro