@conference {7269,
	title = {Hybrid Heuristic Optimization of an Integrated Production Distribution System with Stock and Transportation Costs},
	booktitle = {International Conference on Computing Systems and Applications},
	year = {2021},
	publisher = {Lecture Notes in Networks and Systems book series},
	organization = {Lecture Notes in Networks and Systems book series},
	abstract = {In this paper we address the integration of two-level supply chain with multiple items, production facility and retailers{\textquoteright} demand over a considered discrete time horizon. This two-level production distribution system features capacitated production facility supplying several retailers located in the same region. If production does take place, this process incurs a fixed setup cost as well as unit production costs. In addition, deliveries are made from the plant to the retailers by a limited number of capacitated vehicles and routing costs are incurred. This work aims at implementing a solution to minimize the sum of the costs at the production facility and the retailers. The methodology adopted to tackle this issue is based on a hybrid heuristic, greedy and genetic algorithms that uses strong formulation to provide a good solution of a guaranteed quality that are as good or better than those provided by the MIP optimizer with a considerably larger run time. The results demonstrate that the proposed heuristics are effective and performs impressively in terms of computational efficiency and solution quality.},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-69418-0_11},
	author = {Bensakhria, Mohamed and Samir Abdelhamid}
}
@article {7229,
	title = {A Hybrid Methodology based on heuristic algorithms for a production distribution system with routing decisions},
	journal = {. BizInfo (Blace) Journal of Economics, Management and Informatics},
	volume = {12},
	number = {2},
	year = {2021},
	pages = {1-22},
	abstract = {In this paper, we address the integration of a two-level supply chain with multiple items. This two-level production-distribution system features a capacitated production facility supplying several retailers located in the same region. If production does occur, this process incurs a fixed setup cost and unit production costs. Besides, deliveries are made from the plant to the retailers by a limited number of capacitated vehicles, routing costs incurred. This work aims to implement a minimization solution that reduces the total costs in both the production facility and retailers. The methodology adopted based on a hybrid heuristic, greedy and genetic algorithm uses strong formulation to provide a suitable solution of a guaranteed quality that is as good or better than those provided by the MIP optimizer. The results demonstrate that the proposed heuristics are effective and performs impressively in terms of computational efficiency and solution quality.},
	url = {https://scindeks-clanci.ceon.rs/data/pdf/2217-2769/2021/2217-27692102001B.pdf},
	author = {Bensakhria, Mohamed and Samir Abdelhamid}
}
@article {62717,
	title = {A Hybrid Methodology based on heuristic algorithms for a production distribution system with routing decisions},
	journal = {BizInfo (Blace) Journal of Economics, Management and Informatics},
	volume = {12},
	year = {2021},
	month = {2021},
	pages = {1-22},
	abstract = {
	In this paper, we address the integration of a two-level supply chain with multiple items. This two-level production-distribution system features a capacitated production facility supplying several retailers located in the same region. If production does occur, this process incurs a fixed setup cost and unit production costs. Besides, deliveries are made from the plant to the retailers by a limited number of capacitated vehicles, routing costs incurred. This work aims to implement a minimization solution that reduces the total costs in both the production facility and retailers. The methodology adopted based on a hybrid heuristic, greedy and genetic algorithm uses strong formulation to provide a suitable solution of a guaranteed quality that is as good or better than those provided by the MIP optimizer. The results demonstrate that the proposed heuristics are effective and performs impressively in terms of computational efficiency and solution quality.

},
	isbn = {2217-2769},
	url = {https://scindeks.ceon.rs/Article.aspx?artid=2217-27692102001B},
	author = {Bensakhria, Mohamed and Samir Abdelhamid}
}
@proceedings {62958,
	title = {Hybrid Heuristic Optimization of an Integrated Production Distribution System with Stock and Transportation Costs},
	journal = {International Conference on Computing Systems and Applications},
	year = {2020},
	month = {2020},
	pages = {118-130},
	publisher = {Springer},
	author = {Mohamed, Bensakhria and Samir Abdelhamid}
}
@article {63160,
	title = {L{\textquoteright}analyse du discours m{\'e}diatique: l{\textquoteright}expression phatique dans les interactions radiophoniques Alger chaine 3.},
	journal = {مجلة إشكالات في اللغة و الأدبمجلة إشكالات في اللغة و الأدب},
	volume = {9},
	year = {2020},
	month = {2020},
	pages = {699-716},
	isbn = {2600-6634},
	author = {Abrouk, Nadia and Samir Abdelhamid}
}
@article {63184,
	title = {Bidirectional deep architecture for Arabic speech recognition},
	journal = {Open Computer ScienceOpen Computer Science},
	volume = {9},
	year = {2019},
	month = {2019},
	pages = {92-102},
	isbn = {2299-1093},
	author = {Naima Zerari and Samir Abdelhamid and Hassen Bouzgou and Christian Raymond}
}
@proceedings {64782,
	title = {Bi-directional Recurrent End-to-End Neural Network Classifier for Spoken Arab Digit Recognition},
	journal = {2nd International Conference on Natural Language and Speech Processing (ICNLSP)},
	year = {2018},
	month = {2018},
	address = {Alger, Algeria},
	abstract = {Automatic Speech Recognition can be considered as a transcription of spoken utterances into text which can be used to monitor/command a specific system. In this paper, we propose a general end-to-end approach to sequence learning that uses Long Short-Term Memory (LSTM) to deal with the non-uniform sequence length of the speech utterances. The neural architecture can recognize the Arabic spoken digit spelling of an isolated Arabic word using a classification methodology, with the aim to enable natural human-machine interaction. The proposed system consists to, first, extract the relevant features from the input speech signal using Mel Frequency Cepstral Coefficients (MFCC) and then these features are processed by a deep neural network able to deal with the non uniformity of the sequences length. A recurrent LSTM or GRU architecture is used to encode sequences of MFCC features as a fixed size vector that will feed a multilayer perceptron network to perform the classification. The whole neural network classifier is trained in an end-to-end manner. The proposed system outperforms by a large gap the previous published results on the same database.},
	url = {https://ieeexplore.ieee.org/abstract/document/8374374},
	author = {Naima, Zerari and Samir Abdelhamid and Hassen Bouzgou and Christian Raymond}
}
@proceedings {64615,
	title = {Bi-directional recurrent end-to-end neural network classifier for spoken Arab digit recognition},
	journal = {2018 2nd International Conference on Natural Language and Speech Processing (ICNLSP)},
	year = {2018},
	month = {2018},
	pages = {1-6},
	publisher = {IEEE},
	isbn = {1-5386-4543-2},
	author = {Naima Zerari and Samir Abdelhamid and Hassen Bouzgou and Christian Raymond}
}
@article {64940,
	title = {Efficient golden-ball algorithm based clustering to solve the multi-depot VRP with time windows},
	journal = {International Journal of Applied Evolutionary Computation (IJAEC)International Journal of Applied Evolutionary Computation (IJAEC)},
	volume = {9},
	year = {2018},
	month = {2018},
	pages = {1-16},
	author = {Guezouli, Lahcene and Bensakhria, Mohamed and Samir Abdelhamid}
}
@article {64943,
	title = {Multi-objective optimisation using genetic algorithm based clustering for multi-depot heterogeneous fleet vehicle routing problem with time windows},
	journal = {International Journal of Mathematics in Operational ResearchInternational Journal of Mathematics in Operational Research},
	volume = {13},
	year = {2018},
	month = {2018},
	pages = {332-349},
	isbn = {1757-5850},
	author = {Guezouli, Lahcene and Samir Abdelhamid}
}
@proceedings {64301,
	title = {A multi-objective optimization of Multi-depot Fleet Size and Mix Vehicle Routing Problem with time window},
	journal = {6th International Conference on Systems and Control (ICSC)},
	year = {2017},
	month = {2017},
	pages = {328-333},
	address = {Batna, Algeria},
	abstract = {
	In this paper, Multi-depot Fleet Size Mix Vehicle Routing Problem with time window (MD-FSMVRP-TW) is presented as a multi-criteria optimization problem. For this purpose, we propose in this study a decision support system which aims to discover a set of satisfying solutions (routes) minimizing total travel distance, total tardiness time and the total number of vehicles. These routes satisfy transportation requests without contravening any of the instance specific constraints: schedules requests from clients, the heterogeneous capacity of vehicles. The new encoding and structure algorithm on which this contribution is based uses a genetic algorithm, a selection process using ranking with several Pareto fronts and an elitist selection strategy for replacement. Computational experiments with the benchmark test instances confirm that our approach produces acceptable quality solutions compared with previous results in similar problems in terms of generated solutions and processing time. Experimental results prove that the method of genetic algorithm heuristics is effective in solving the MD-FSMVRP-TW problem and hence has a great potential.

},
	url = {https://ieeexplore.ieee.org/abstract/document/7958650},
	author = {Guezouli, Lahcene and Samir Abdelhamid}
}
@article {64380,
	title = {A new multi-criteria solving procedure for multi-depot FSM-VRP with time window},
	journal = {International Journal of Applied Industrial Engineering (IJAIE)International Journal of Applied Industrial Engineering (IJAIE)},
	volume = {4},
	year = {2017},
	month = {2017},
	pages = {1-18},
	author = {Guezouli, Lahcene and Samir Abdelhamid}
}
@proceedings {61429,
	title = {S YSRA: UN SYSTEME DE RECONNAISSANCE},
	year = {2013},
	author = {Samir Abdelhamid and Bouguechal, Nour Eddine}
}
@article {67743,
	title = {Repr{\'e}sentations sociolinguistiques d{\textquoteright}{\'e}tudiants en FLE},
	journal = {Synergies Alg{\'e}rie no7-2009Synergies Alg{\'e}rie no7-2009},
	year = {2009},
	month = {2009},
	author = {Samir Abdelhamid and Soraya, Hadjarab}
}
@article {67744,
	title = {Repr{\'e}sentations sociolinguistiques d\&rsquo;{\'e}tudiants en FLE},
	journal = {Synergies Alg{\'e}rieSynergies Alg{\'e}rie},
	year = {2009},
	month = {2009},
	pages = {pp 267-275},
	abstract = {On admet, particuli{\`e}rement, aujourd{\textquoteright}hui que les repr{\'e}sentations des sujets sur les langues, leurs normes, leurs caract{\'e}ristiques et leurs statuts par rapport {\`a} d{\textquoteright}autres langues influencent le d{\'e}sir de les apprendre (choix de la langue {\`a} apprendre) ou de les utiliser (pratiques langagi{\`e}res), donc {\'e}galement, la r{\'e}ussite ou l{\textquoteright}{\'e}chec de l{\textquoteright}apprentissage. Nous pensons qu{\textquoteright}il serait donc int{\'e}ressant de voir {\`a} travers l{\textquoteright}observation de l{\textquoteright}activit{\'e} {\'e}pilinguistique des apprenants comment ils abordent les langues {\'e}trang{\`e}res et {\'e}laborent des repr{\'e}sentations sur celles-ci.},
	author = {Samir Abdelhamid and Soraya, Hadjarab}
}
@article {61512,
	title = {R{\^o}le de la langue arabe dans la production en FLE d\&rsquo;un texte argumentatif charg{\'e} {\'e}motionnellement/Role of the Arabic language in the production in FLE of an argumentative text emotionally charged},
	year = {2009},
	author = {Bounouara, Yamina and Legros, Denis and Samir Abdelhamid}
}
@article {62226,
	title = {Image publicitaire et communication interculturelle : Un autre regard possible},
	journal = {Synergies Alg{\'e}rieSynergies Alg{\'e}rie},
	year = {2008},
	month = {2008},
	pages = {pp 65-78},
	abstract = {Le travail que nous proposons a pour objet d{\textquoteright}{\'e}tude la publicit{\'e} (illustr{\'e}e par l{\textquoteright}une de ces formes), cette publicit{\'e} qui peut tr{\`e}s bien {\^e}tre ce capital dont parle J. Demorgon. Il s{\textquoteright}agit de lire {\`a} travers elle le culturel pour pouvoir pr{\'e}tendre {\`a} une possible communication interculturelle entre celui {\`a} qui appartient ce capital et auquel s{\textquoteright}adresse cette publicit{\'e} et celui qui, de l{\textquoteright}ext{\'e}rieur, entreprend cet autre regard possible.},
	author = {Samir Abdelhamid}
}
@article {62227,
	title = {A System of Automatic Speech Recognition based on the Technique of Temporal Retiming},
	journal = {International Journal of Electrical and Computer EngineeringInternational Journal of Electrical and Computer Engineering},
	volume = {2},
	year = {2008},
	month = {2008},
	pages = {217-222},
	author = {Samir Abdelhamid and Bouguechal, Nour Eddine}
}
@article {62097,
	title = {SySRA, A System of a Continuous Speech Recognition in Arab Language},
	journal = {Proceedings of World Academy Of Science, Engineering and Technology PWASET, VolumeProceedings of World Academy Of Science, Engineering and Technology PWASET, Volume},
	volume = {11},
	year = {2007},
	month = {2007},
	author = {Samir Abdelhamid and Bouguechal, Nour Eddine}
}
@article {61734,
	title = {Difficultes de transcription phonetique du fran{\c c}ais},
	year = {1995},
	month = {1995},
	author = {Samir Abdelhamid}
}
