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Jacques Teghem
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2010 – 2019
- 2018
- [j24]Emna Dhouib, Jacques Teghem, Taïcir Loukil:
Non-permutation flowshop scheduling problem with minimal and maximal time lags: theoretical study and heuristic. Ann. Oper. Res. 267(1-2): 101-134 (2018) - [j23]Manuel Mateo, Jacques Teghem, Daniel Tuyttens:
A bi-objective parallel machine problem with eligibility, release dates and delivery times of the jobs. Int. J. Prod. Res. 56(3): 1030-1053 (2018) - 2014
- [j22]Jacques Teghem, Daniel Tuyttens:
A bi-objective approach to reschedule new jobs in a one machine model. Int. Trans. Oper. Res. 21(6): 871-898 (2014) - 2013
- [j21]Emna Dhouib, Jacques Teghem, Taïcir Loukil:
Lexicographic optimization of a permutation flow shop scheduling problem with time lag constraints. Int. Trans. Oper. Res. 20(2): 213-232 (2013) - [j20]Emna Dhouib, Jacques Teghem, Taïcir Loukil:
Minimizing the Number of Tardy Jobs in a Permutation Flowshop Scheduling Problem with Setup Times and Time Lags Constraints. J. Math. Model. Algorithms 12(1): 85-99 (2013) - 2012
- [j19]Thibaut Lust, Jacques Teghem:
The multiobjective multidimensional knapsack problem: a survey and a new approach. Int. Trans. Oper. Res. 19(4): 495-520 (2012) - 2011
- [c2]Thibaut Lust, Jacques Teghem, Daniel Tuyttens:
Very Large-Scale Neighborhood Search for Solving Multiobjective Combinatorial Optimization Problems. EMO 2011: 254-268 - 2010
- [j18]Samya Elaoud, Jacques Teghem, Taïcir Loukil:
Multiple crossover genetic algorithm for the multiobjective traveling salesman problem. Electron. Notes Discret. Math. 36: 939-946 (2010) - [j17]Jacques Teghem:
Metaheuristics. From Design to Implementation, El-Ghazali Talbi. John Wiley & Sons Inc. (2009). XXI + 593 pp., Publication 978-0-470-27858-1. Eur. J. Oper. Res. 205(2): 486-487 (2010) - [j16]Thibaut Lust, Jacques Teghem:
Two-phase Pareto local search for the biobjective traveling salesman problem. J. Heuristics 16(3): 475-510 (2010) - [j15]Abdeljawed Sadok, Jacques Teghem, Habib Chabchoub:
A hybrid grouping genetic algorithm for the inventory routing problem with multi-tours of the vehicle. Int. J. Comb. Optim. Probl. Informatics 1(2): 42-61 (2010) - [p5]Thibaut Lust, Jacques Teghem:
The Multiobjective Traveling Salesman Problem: A Survey and a New Approach. Advances in Multi-Objective Nature Inspired Computing 2010: 119-141 - [i2]Thibaut Lust, Jacques Teghem:
Multiobjective decomposition of integer matrices: application to radiotherapy. CoRR abs/1006.1031 (2010) - [i1]Thibaut Lust, Jacques Teghem:
The multiobjective multidimensional knapsack problem: a survey and a new approach. CoRR abs/1007.4063 (2010)
2000 – 2009
- 2009
- [j14]Nadia Souai, Jacques Teghem:
Genetic algorithm based approach for the integrated airline crew-pairing and rostering problem. Eur. J. Oper. Res. 199(3): 674-683 (2009) - [c1]Thibaut Lust, Jacques Teghem:
Multiobjective Decomposition of Positive Integer Matrix: Application to Radiotherapy. EMO 2009: 335-349 - [p4]Jacques Teghem:
Multiple Objective Linear Programming. Decision-making Process 2009: 199-264 - [r3]Jacques Teghem:
Bi-Objective Assignment Problem. Encyclopedia of Optimization 2009: 288-293 - [r2]Jacques Teghem:
Multi-objective Combinatorial Optimization. Encyclopedia of Optimization 2009: 2437-2442 - [r1]Jacques Teghem:
Multi-objective Integer Linear Programming. Encyclopedia of Optimization 2009: 2448-2454 - 2008
- [j13]Thibaut Lust, Jacques Teghem:
MEMOTS: a memetic algorithm integrating tabu search for combinatorial multiobjective optimization. RAIRO Oper. Res. 42(1): 3-33 (2008) - 2007
- [j12]Samya Elaoud, Jacques Teghem, Bassem Bouaziz:
Genetic algorithms to solve the cover printing problem. Comput. Oper. Res. 34(11): 3346-3361 (2007) - [j11]Samya Elaoud, Taïcir Loukil, Jacques Teghem:
The Pareto fitness genetic algorithm: Test function study. Eur. J. Oper. Res. 177(3): 1703-1719 (2007) - [j10]Taïcir Loukil, Jacques Teghem, Philippe Fortemps:
A multi-objective production scheduling case study solved by simulated annealing. Eur. J. Oper. Res. 179(3): 709-722 (2007) - [j9]Jacob W. Yougbaré, Jacques Teghem:
Relationships between Pareto optimality in multi-objective 0-1 linear programming and DEA efficiency. Eur. J. Oper. Res. 183(2): 608-617 (2007) - 2005
- [j8]Taïcir Loukil, Jacques Teghem, Daniel Tuyttens:
Solving multi-objective production scheduling problems using metaheuristics. Eur. J. Oper. Res. 161(1): 42-61 (2005) - 2004
- [j7]Roman Slowinski, Jacques Teghem, Jyrki Wallenius:
Editorial. Eur. J. Oper. Res. 159(3) (2004) - [p3]Daniel Tuyttens, Jacques Teghem, Nasser El-Sherbeny:
A Particular Multiobjective Vehicle Routing Problem Solved by Simulated Annealing. Metaheuristics for Multiobjective Optimisation 2004: 133-152 - 2002
- [j6]Benedetto Matarazzo, Jacques Teghem:
O.R. for innovation and quality of life. Eur. J. Oper. Res. 139(2): 191-192 (2002) - 2000
- [j5]Jacques Teghem, Daniel Tuyttens, Ekunda L. Ulungu:
An interactive heuristic method for multi-objective combinatorial optimization. Comput. Oper. Res. 27(7-8): 621-634 (2000) - [j4]Daniel Tuyttens, Jacques Teghem, Philippe Fortemps, K. Van Nieuwenhuyze:
Performance of the MOSA Method for the Bicriteria Assignment Problem. J. Heuristics 6(3): 295-310 (2000)
1990 – 1999
- 1998
- [j3]M. Visée, Jacques Teghem, Marc Pirlot, Ekunda L. Ulungu:
Two-phases Method and Branch and Bound Procedures to Solve the Bi-objective Knapsack Problem. J. Glob. Optim. 12(2): 139-155 (1998) - [j2]Ekunda L. Ulungu, Jacques Teghem, Ch. Ost:
Efficiency of interactive multi-objective simulated annealing through a case study. J. Oper. Res. Soc. 49(10): 1044-1050 (1998) - 1994
- [j1]Daniel Tuyttens, Marc Pirlot, Jacques Teghem, E. Trauwaert, B. Liégeois:
Homogeneous grouping of nuclear fuel cans through simulated annealing and tabu search. Ann. Oper. Res. 50(1): 575-607 (1994) - 1992
- [p2]Jacques Teghem, Jean-Marie Charlet:
Use of "Rough Sets" Method to Draw Premonitory Factors for Earthquakes by Emphasing Gas Geochemistry: The Case of a Low Seismic Activity Context, in Belgium. Intelligent Decision Support 1992: 165-179 - [p1]Jacques Teghem, Mohammed Benjelloun:
Some Experiments to Compare Rough Sets Theory and Ordinal Statistical Methods. Intelligent Decision Support 1992: 267-286
Coauthor Index
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