FATIMA GUESSOUM

Specialty: 
Computer Science
Department: 
Faculty: 
Campus: Ancien Campus
  • guessoum.fatima@univ-guelma.dz
  • fatima_guessoum@yahoo.fr
Doctoral advisor: 
Google Scholar Link: 
Rersearchgate Link: 
ORCID: 

Thesis title

Doctoral thesis title: 
Nurse Rostering Problem.

Thesis title (Ar)

Doctoral thesis title (Ar): 
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Thesis title (Fr)

Doctoral thesis title (Fr): 
planning de rotation des infirmières

keywords

Keywords: 
operational research, combinatorial optimization, timetabling, scheduling.

keywords (Ar)

Key words (Ar): 
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keywords (Fr)

Key words (Fr): 
Recherche opérationnelle, Optimisation combinatoire, emploi-du-temps,

Abstract

Abstract: 

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Abstract (Ar)

Abstract (Ar): 

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Abstract (Fr)

Abstract (Fr): 

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Scientific publications

Scientific publications : 
  1. Haddadi, S., Guessoum, F. (2018). Hybridizing Subgradient Optimization and Very Large Scale Neighborhood Search for Nurse Rostering, American Journal of Mathematical and Management Sciences, DOI: 10.1080/01966324.2018.1451418.
  2. Guessoum, F., Haddadi, S., and E. Gattal (2019). Simple, yet fast and effective two-phase method for nurse rostering. American Journal of Mathematical and Management Sciences, DOI: 10.1080/01966324.2019.1570882.

Scientific conferences

Scientific conferences: 
  1. Guessoum, F., Haddadi, S. (2018). Iterated Local Search for reduced Nurse Rostering Problem (RNRP), doctoral days on Informatics and Applied Mathematics (IAM’18),  3-4October 2018, Guelma, Algérie.
  2. Guessoum, F., Haddadi, S. (2016). A Multi start Constructive local search to the Nurse Rostering Problem, the international conference on Decision Aid Sciences and Applications , DASA’16 ,Hammamet, Tunisia 18th – 20th July, 2016.
  3. Guessoum, F., Haddadi, S. (2016). Greedy heuristic with a stochastic descent method For the nurse rostering problems, La cinquième Journée Nationale des sciences et Technologies de l'Information et de la Communication (JSTIC’2016), 29th October 2016, Guelma, Algérie.
  4. Guessoum, F., Haddadi, S. (2015). A Multi start Greedy Constructive Heuristic To The Nurse Scheduling Problem, la première Conférence Nationale sur les Nouvelles Technologies Informatiques (CN2TI’2015), 11 Novembre 2015, Guelma, Algérie.
  5. Guessoum, F., Haddadi, S. (2015). A Multi start Constructive Heuristic Based on Simulated Annealing Approach to the Nurse Rostering Problem, Communication orale dans The 11th  International Conference on  Multiple Objective Programming and Goal Programming , MOPGP’15, Tlemcen, Algeria 13-15 December 2015.
  6. Guessoum, F., Haddadi, S. (2015). An investigation of greedy based Neighborhood Search for Nurse Rostering Problems, La quatrième Journée Nationale des sciences et Technologies de l'Information et de la Communication (JSTIC’2015), 14 Mai 2015, Guelma, Algérie.
  7. Guessoum, F., Haddadi, S. (2014). Etat de l’art sur le problème de rotation des infirmières, La troisième Journée Nationale des sciences et Technologies de l'Information et de la Communication (JSTIC’2014), 22 Juin 2014, Guelma, Algérie.