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Maha Ben Hamida

Informations générales

Maha Ben Hamida
Grade

Doctorant

Biographie courte

Maha Ben Hamida is a PhD student in Business Computing at the University of Tunis. She obtained a Bachelor’s degree in Business Computing from the Higher School of Economic and Commercial Sciences of Tunis (ESSEC) in 2009, and a Research Master’s degree in Decision Support Systems from the Higher Institute of Management of Tunis (ISG) in 2022. Her research focuses on solving complex optimization problems in scheduling systems by applying artificial intelligence and different variants of evolutionary algorithms. She is also interested in the integration of AI methods into decision support systems.

Publications

  • 2023
    Maha Ben Hamida, Ameni Azzouz, Lamjed Ben Said

    An adaptive variable neighborhood search algorithm to solve green flexible job shop problem

    In 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT) (pp. 1403-1408). IEEE., 2023

    Résumé

    Green manufacturing imposes higher expectations on manufacturing engineering, not only with respect to classic competitive factors such as cost, time and quality, but also with sustainable factors such as resources and energy. In this paper, we investigate green flexible job shop scheduling problem (GFJSP) with variable processing speeds. To solve the GFJSP problem, we propose an adaptive Variable Neighborhood Search to minimize the makespan and the total energy consumption. A number of experiments have been conducted to evaluate the performance of our proposed adaptive VNS algorithm. A comparative study was presented and have verified the out performance of the proposed algorithm against other VNS variants.