Franklin Djeumou Fomeni, PhD
Assistant Professor of Operations Research
Department of Analytics, Operations and Information Technologies
Management School of the University of Quebec in Montreal (ESG-UQAM), Montreal, Canada
Publications
Refereed Journal Articles and Conference Proceedings:
F. Djeumou Fomeni (2023), A lifted-space dynamic programming algorithm for the Quadratic Knapsack Problem. Discrete and Applied Mathematics, 335, 52-68. https://doi.org/10.1016/j.dam.2023.02.003
T. Crainic, F. Djeumou Fomeni & W. Rei (2021), Multi-period bin packing model and effective constructive heuristics for a corridor-based logistics capacity planning. Computers & Operations Research, published online (April 2021). https://doi.org/10.1016/j.cor.2021.105308
F. Djeumou Fomeni, K. Kaparis & A. N. Letchford (2020), A cut-and-branch algorithm for the quadratic knapsack problem. Discrete Optimzation, published online (March 2020). https://doi.org/10.1016/j.disopt.2020.100579
F. Djeumou Fomeni, S.A. Gabriel & M.F. Anjos (2019), An RLT approach for the discretely constrained mixed linear complementarity problem, Computers & Operations Research, 110, 48-59, https://doi.org/10.1016/j.cor.2019.05.008.
V. Dal Sasso, F. Djeumou Fomeni, G. Lulli & K. Zografos (2019), Planning efficient 4D trajectories in Air Traffic Flow Management. European Journal of Operational Research, 276 (2), 676-687. https://doi.org/10.1016/j.ejor.2019.01.039
F. Djeumou Fomeni, S.A. Gabriel & M.F. Anjos (2019), Logic constrained equilibria and application to transportation and power network. Journal of the Operational Research Society, 70 (2), 310-325. https://doi.org/10.1080/01605682.2018.1438761
V. Dal Sasso, F. Djeumou Fomeni, G. Lulli & K. Zografos (2018), Incorporating Stakeholders’ Priorities and Preferences in 4D Trajectory Optimization. Transportations Research Part B, 117, 594-609. https://doi.org/10.1016/j.trb.2018.09.009
V. Dal Sasso, F. Djeumou Fomeni, G. Lulli & K. Zografos (2018), Data set related to the paper "Incorporating Stakeholders' Priorities and Preferences in 4D Trajectory Optimization". Lancaster University. https://doi.org/10.17635/lancaster/researchdata/242
V. Dal Sasso, F. Djeumou Fomeni, G. Lulli & K. Zografos (2018), A multi-objective integer approach for optimizing trajectory based operations (TBO). Proceeding of the Annual meeting of the Transportation Research Board, Janvier 2018. https://trid.trb.org/view/1494634
F. Djeumou Fomeni (2018), A multi-objective optimisation approach for the blending problem in the tea industry. International Journal of Production Economics, 205, 179-192. https://doi.org/10.1016/j.ijpe.2018.08.036
F. Djeumou Fomeni, G. Lulli & K. Zografos (2017), An optimization model for assigning 4D-trajectories to flights under the TBO concept. Proceeding of the 12th USA and Europe ATM Seminar, January 2017. Available here.
F. Djeumou Fomeni (2017), A new family of facet defining inequalities for the maximum edge-weighted clique problem. Optimization Letters, 11(1), 47-54. https://doi.org/10.1007/s11590-016-1055-z
F. Djeumou Fomeni, K. Kaparis & A. N. Letchford (2015), Cutting planes for first-level RLT relaxations of mixed 0-1 programs. Mathematical Programming, 151(2), 639-658. https://doi.org/10.1007/s10107-015-0863-8
F. Djeumou Fomeni & A. N. Letchford (2014), A dynamic programming heuristic for the quadratic knapsack problem. INFORMS Journal on Computing, 26(1), 173-183. https://doi.org/10.1287/ijoc.2013.0555
G. Hocking, A. Adewumi & F.Djeumou Fomeni (2011), Transforming South African sugar cane factories to bio-refineries. Proceeding of the Math. in Industry Study Group South Africa.
F. Djeumou Fomeni, E. Newby, M.M. Ali & C. Musingwini (2010), A method for stochastic estimation of cost and completion time of a mining project. Proceeding of the Math. in Industry Study Group South Africa.
Thesis and Dissertations:
The quadratic knapsack problem and related problems. PhD thesis, Lancaster University, United Kingdom.
New Solution Approaches for the Quadratic Assignment Problem. Masters' dissertation, University of the Witwatersrand, Johannesburg, South Africa. Available online.
Metaheuristics for Space Allocation Problems: Comprehensive Survey and Review. Structured Masters' dissertation. African Institute for Mathematical Sciences (AIMS-South Africa), Cape Town, South Africa. Available online.