 | 2010 |
|---|
| 10 |       | Makram Zaidi,
Bassem Jarboui,
Imed Kacem,
Taïcir Loukil:
Hybrid meta-heuristics for minimizing the total weighted completion time on uniform parallel machines.
Electronic Notes in Discrete Mathematics 36: 543-550 (2010) |
| 9 | | Mohamed Cheikh,
Bassem Jarboui,
Taïcir Loukil:
A genetic algorithms to solve the bicriteria shortest path problem.
Electronic Notes in Discrete Mathematics 36: 851-858 (2010) |
| 8 | | Samya Elaoud,
Jacques Teghem,
Taïcir Loukil:
Multiple crossover genetic algorithm for the multiobjective traveling salesman problem.
Electronic Notes in Discrete Mathematics 36: 939-946 (2010) |
| 2009 |
|---|
| 7 | | N. Damak,
Bassem Jarboui,
Patrick Siarry,
Taïcir Loukil:
Differential evolution for solving multi-mode resource-constrained project scheduling problems.
Computers & OR 36(9): 2653-2659 (2009) |
| 6 | | Mohamed Anis Allouche,
Belaïd Aouni,
Jean-Marc Martel,
Taïcir Loukil,
Abdelwaheb Rebaï:
Solving multi-criteria scheduling flow shop problem through compromise programming and satisfaction functions.
European Journal of Operational Research 192(2): 460-467 (2009) |
| 2008 |
|---|
| 5 | | Souhail Dhouib,
Sana Kouraïchi,
Taïcir Loukil,
Habib Chabchoub:
An Interactive Simulated Annealing Multi-agents Platform to Solve Hierarchical Scheduling Problems with Goals.
NICSO 2008: 177-187 |
| 2007 |
|---|
| 4 | | Samya Elaoud,
Taïcir Loukil,
Jacques Teghem:
The Pareto fitness genetic algorithm: Test function study.
European Journal of Operational Research 177(3): 1703-1719 (2007) |
| 3 | | Taïcir Loukil,
Jacques Teghem,
Philippe Fortemps:
A multi-objective production scheduling case study solved by simulated annealing.
European Journal of Operational Research 179(3): 709-722 (2007) |
| 2006 |
|---|
| 2 | | Abdelbasset Essabri,
Mariem Gzara,
Taïcir Loukil:
Parallel Multi-Objective Evolutionary Algorithm with Multi-Front Equitable Distribution.
GCC 2006: 241-244 |
| 2005 |
|---|
| 1 | | Taïcir Loukil,
Jacques Teghem,
Daniel Tuyttens:
Solving multi-objective production scheduling problems using metaheuristics.
European Journal of Operational Research 161(1): 42-61 (2005) |
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