Work place: Department of Mathematics, ENSAM-University My ISMAIL, Meknes, Morocco

E-mail: t.masrour@ensam.umi.ac.ma


Research Interests: Computer systems and computational processes, Artificial Intelligence, Computer Architecture and Organization, Process Control System


Tawfik Masrour  is working since 1998 as a Professor, at Mathematical Modeling and Computing Research Laboratory (M2.I) , Mathematical Modeling for Analysis and Decision Making Research team (M2APD), Ecole Nationale Supérieure d’Arts et Métiers (ENSAM), My Ismail University, Meknes, Morocco.

He received his Ph.D. in Applied Mathematics and Informatics, Ecole Nationale des Ponts et Chaussées ENPC-Paris-France (1995). He has done his M.phil in Modeling, Numerical Analysis and Scientific Calculus (D.E.A. Paris 6 and Ecole Polytechnique- 1992). His fields of research are essentially optimal control and artificial intelligence.

Author Articles
A New Approach for Dynamic Parametrization of Ant System Algorithms


DOI: https://doi.org/10.5815/ijisa.2018.06.01, Pub. Date: 8 Jun. 2018

This paper proposes a learning approach for dynamic parameterization of ant colony optimization algorithms. In fact, the specific optimal configuration for each optimization problem using these algorithms, whether at the level of preferences, the level of evaporation of the pheromone, or the number of ants, makes the dynamic approach an interested one. The new idea suggests the addition of a knowledge center shared by the colony members, combining the optimal evaluation of the configuration parameters proposed by the colony members during the experiments. This evaluation is based on qualitative criteria explained in detail in the article. Our approach indicates an evolution in the quality of the results over the course of the experiments and consequently the approval of the concept of machine learning.

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