1. J. Teghem. Programmation linéaire. Ellipses, Paris, 1996. [bibtex-entry]



2. R. Slowinski and J. Teghem, editors. Stochastic versus Fuzzy approaches to Multiobjective Mathematical Programming under uncertainty. Kluwer Academic, Dordrecht, 1990. [bibtex-entry]

1. Taïcir Loukil, Jacques Teghem, and Philippe Fortemps. A multi-objective production scheduling case study solved by simulated annealing. European Journal of Operational Research, 179(3):709-722, June 2007. [WWW ] [bibtex-entry]



2. Taicir Loukil, Jacques Teghem, and Philippe Fortemps. A multi-objective production scheduling case study solved by simulated annealing. European Journal of Operational Research, 179(3):709 - 722, July 2007. [WWW ] [bibtex-entry]



3. Jacob W. Yougbare and Jacques Teghem. Relationships between Pareto optimality in multi-objective 0-1 linear programming and DEA efficiency. European Journal of Operational Research, 183(2):608 - 617, December 2007. [WWW ] [bibtex-entry]



4. T. Loukil, J. Teghem, and D. Tuyttens. Solving multi-objective production scheduling problems using metaheuristics. European Journal of Operational Research, 161(1):42-61, 2005. [WWW ] [bibtex-entry]



5. D. Tuyttens, J. Teghem, P. Fortemps, and K. V. Nieuwenhuyze. Performance of the MOSA method for the bicriteria assignment problem. Journal of Heuristics, 6(3):295-310, 2000. [bibtex-entry]



6. E.L. Ulungu, J. Teghem, P. Fortemps, and D. Tuyttens. MOSA method: a tool for solving multiobjective combinatorial optimization problems. Journal of Multi-Criteria Decision Analysis, 8(4):221-236, 1999. [bibtex-entry]



7. E.L. Ulungu, J. Teghem, and C. Ost. Efficiency of interactive multi-objective simulated annealing through a case study. Journal of the Operational Research Society, 49(10):1044-1050, 1998. [bibtex-entry]



8. E.L. Ulungu and J. Teghem. The two phases method: An efficient procedure to solve bi-objective combinatorial optimization problems. Foundations of Computing and Decision Sciences, 20(2):149-165, 1995. [bibtex-entry]



9. E.L. Ulungu and J. Teghem. Multi-objective combinatorial optimization: a survey. Journal of Multi-Criteria Decision Analysis, 3:83-104, 1994. [bibtex-entry]



10. P.L. Kunsch and J. Teghem. Nuclear fuel cycle optimization using multi-objective stochastic linear programming. European Journal of Operational Research, 31(2):240-249, 1987. [bibtex-entry]



11. J. Teghem, D. Dufrane, M. Thauvoye, and P.L. Kunsch. STRANGE: an interactive method for multi-objective linear programming under uncertainty. European Journal of Operational Research, 26(1):65-82, 1986. [bibtex-entry]



12. J. Teghem and P. Kunsch. Application of multiobjective stochastic linear programming to power systems planning. Engineering Costs and Production Economics, 9:83-89, 1985. [bibtex-entry]

1. E.L. Ulungu and J. Teghem. The multiobjective shortest path problem: a survey. In M. Cerny, D. Glückaufová, and D. Loula, editors, Multicriteria Decision Making: Methods - Algorithms - Applications, pages 176-188, 1991. [bibtex-entry]



2. J. Teghem. STRANGE an interactive method for multiobjective stochastic linear programming and STRANGE-MOMIX its extension to integer variables. In R. Slowinski and J. Teghem, editors, Stochastic versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty, pages 103-115, 1990. Kluwer Academic, Dordrecht. [bibtex-entry]



3. J. Teghem and P.L. Kunsch. Multi-objective decision making under uncertainty: an example for power system. In Y.Y. Haimes and V. Chankong, editors, Decision making with multiple objectives, LNEMS 242, pages 443-456, 1985. Springer-Verlag, Berlin. [bibtex-entry]

1. E.L. Ulungu and J. Teghem. Solving multi-objective knapsack problem by a branch-and-bound procedure. Technical report, Departement of Mathematics and Operational Research, Faculté Polytechnique de Mons, 1995. [bibtex-entry]

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