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Damien Gerard - Publications ORBI
Gerard, D., Koeppe, M., & Louveaux, Q. (2017). Guided Dive for the Spatial Branch-and-Bound. Journal of Global Optimization.
Peer reviewed (verified by ORBi)
We study the spatial Brand-and-Bound algorithm for the global opti- mization of nonlinear problems. In particular we are interested in a method to find quickly good feasible solutions. Most spatial Branch-and ...
Gerard, D., Köppe, M., & Louveaux, Q. (2016). Feasibility-oriented Branching Strategies for Global Optimization. Eprint/Working paper retrieved from http://orbi.ulg.ac.be/handle/2268/200219.
We study the spatial Brand-and-Bound algorithm for the global optimization of nonlinear problems. In particular we are interested in a method to find quickly good feasible solutions. Most spatial Branch-and ...
Gerard, D., Köppe, M., & Louveaux, Q. (2015, July 13). Feasibility-oriented Branching Strategies for Global Optimization. Paper presented at International Symposium on Mathematical Programming (ISMP), Pittsburgh, PA.
We study the spatial Brand-and-Bound algorithm for the global optimization of nonlinear problems. In particular we are interested in a method to find quickly good feasible solutions. Most spatial Branch-and ...
Gerard, D., Louveaux, Q., & Cornélusse, B. (2015). A NLP-MILP iterating algorithm for operational planning in electrical distribution systems. Eprint/Working paper retrieved from http://orbi.ulg.ac.be/handle/2268/200220.
We consider a class of optimal power flow (OPF) applications where some loads offer a modulation service in exchange for an activation fee. These applications can be modeled as multi-period formulations of the ...