Work place: Doctoral Studies Center, ENSAM-University My ISMAIL, Meknes, Morocco



Research Interests: Computer systems and computational processes, Artificial Intelligence, Computational Learning Theory, Swarm Intelligence, Data Structures and Algorithms


Mohamed Rhazzaf received the engineering degree in computer science from the Mohammadia School of Engineering EMI, Mohammed V University Rabat, Morocco in 2011.

He is actually a PhD student at the Doctoral Studies Center at ENSAM – My Ismaïl University, Meknes, Morocco since 2016.

His research interests include artificial intelligence, machine learning, swarm intelligence and numerical optimization.

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


DOI:, 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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Other Articles