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Madiha Harrabi
Madiha Harrabi
LARIA Laboratory, Ecole Nationale des Sciences de l'Informatique, Université de Manouba
Verified email at ensi-uma.tn
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Year
Combining genetic algorithm and tabu search metaheuristic for job shop scheduling problem with generic time lags
M Harrabi, OB Driss, K Ghedira
2017 International Conference on Engineering & MIS (ICEMIS), 1-8, 2017
82017
MATS–JSTL: a multi-agent model based on tabu search for job shop problem with time lags
M Harrabi, BD Olfa
Computational Collective Intelligence: 7th International Conference, ICCCI …, 2015
82015
Competitive agents implementing parallel tabu searches for job shop scheduling problem with time lags
M Harrabi, O Belkahla Driss, K Ghedira
IASTED International Conference on Modelling, Identification and Control 848 …, 2017
72017
A modified biogeography-based optimization algorithm with improved mutation operator for job shop scheduling problem with time lags
M Harrabi, OB Driss, K Ghedira
Logic Journal of the IGPL 29 (6), 951-962, 2021
52021
A hybrid evolutionary approach to job-shop scheduling with generic time lags
M Harrabi, OB Driss, K Ghedira
Journal of Scheduling 24 (3), 329-346, 2021
52021
A multi-agent model based on hybrid genetic algorithm for job shop scheduling problem with generic time lags
M Harrabi, OB Driss, K Ghedira
2017 IEEE/ACS 14th International Conference on Computer Systems and …, 2017
52017
A greedy biogeography-based optimization algorithm for job shop scheduling problem with time lags
M Harrabi, OB Driss, K Ghedira
International Joint Conference SOCO’18-CISIS’18-ICEUTE’18: San Sebastián …, 2019
42019
Powerful biogeography-based optimization algorithm with local search mechanism for job shop scheduling problem with additional constraints
M Harrabi, OB Driss, K Ghedira
Computational Intelligence in Security for Information Systems Conference, 52-61, 2022
12022
Hybrid biogeography-based optimization algorithm for job shop scheduling problem with time lags and single transport robot
M Harrabi, OB Driss, K Ghedira
Advances in Computational Collective Intelligence: 13th International …, 2021
12021
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