Phd in Operations Research,
The Project Manager of Research in Voice Recognition of Amazigh language CP: 03/10/TTTAL/CRLCA/2023
Email: a.zaidi@crlca.dz
website :www.crlca.dz
Abstract. In this paper, we present a new deterministic method to optimize a linear function over the efficient set of a multiple objective integer linear problem, it is called 2-phases algorithm. This algorithm is based on two phases : the first uses the student copula to determine the pilot objective and the second optimises it to obtain the optimal solution. To check the algorithm’s performance, we compare it with two benchmark algorithms from the literature. A detailed didactic example is given to illustrate the different steps. The algorithm is implemented on Machine and interesting results are obtained and discusse
Keywords: deterministic optimization, multi-objective optimization, optimization over the efficient set, Student copula.
Abstract. In this work, we propose an algorithm called Directional Exploration Genetic Algorithm (DEGA) to resolve a function Φ over the efficient set of a multi-objective integer linear programming problem (MOILP). DEGA algorithm belongs to evolutionary algorithms, which operate on the decision space by choosing the fastest improving directions that improves the objectives functions and Φ function.
Two variants of this algorithm are performed and implemented on Python. Several benchmarks are carry out to evaluate the algorithm’s performances and interesting results are obtained and discussed.
Keywords: Optimization over the efficient set, Efficient set, DEGA Algorithms, Genetics algorithms, Φ function.
Abstract.The Winner Determination Problem (WDP) is crucial for modeling numerous practical and theoretical situations, and its importance has garnered significant attention from researchers. However, solving the problem is difficult due to its classification as an Np-hard problem, especially when multiple objectives are involved. Despite his challenge, a promising solution approach involves optimizing a new objective function while adhering to constraints based on a set of efficient solutions to the original problem. The utilization of Estimation Distribution Algorithms (EDA) to derive an approximate solution presents an advantage for addressing larger problem size. Remarkably, these concepts have been adapted and implemented on machine, and interesting results are obtained.
Keywords: EDA algorithms, Efficient solutions, Multiple objectives, Np-hard problems, WDP problem, Auction problem.
Ce travail aborde un sujet de grande importance dans le domaine de la linguistique : la description phonétique et phonologique des consonnes en kabyle. Cette étude examine la nature des sons eux-mêmes et est étroitement liée à la sociolinguistique grâce à une enquête de terrain, où nous avons enregistré des locuteurs vivant dans des zones clés de la Kabylie, telles que Béjaïa, Tizi Ouzou, Bouira, etc. Notre objectif est de présenter un tableau du système phonologique des consonnes dans le dialecte kabyle en utilisant les trois systèmes d'écriture, tout en analysant les morphèmes et les phonèmes inclus dans ce tableau. Nous examinons également les variations linguistiques, telles que la sonorité, la tension et l'emphase. Pour ce faire, nous avons divisé notre contribution en trois grandes sections. La première proposera un exposé théorique où nous définirons quelques concepts clés liés à ce domaine de recherche. Dans la seconde section, nous présenterons la méthodologie utilisée pour la collecte de notre corpus. Enfin, nous conclurons par l’exposition de nos données linguistiques et l’analyse des résultats obtenus
tous les phonèmes.pdf