3 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
Analyzing changes in optimal variables in linear programming with uncertain parameters
Baptiste Istace, Guillaume Derval, Bardhyl Miftari +1
Linear problems often include many parameters that may be uncertain. Sensitivity analysis studies how these parameters impact optimal values. Instead of analyzing the objective fun…
Efficient LP warmstarting for linear modifications of the constraint matrix
Guillaume Derval, Bardhyl Miftari, Damien Ernst +1
We consider the problem of computing the optimal solution and objective of a linear program under linearly changing linear constraints. The problem studied is given by $\min c^t x…
Sensitivity analysis for linear changes of the constraint matrix of a (mixed-integer) linear program
Guillaume Derval, Damien Ernst, Quentin Louveaux +1
Understanding how the optimal value of an optimisation problem changes when its input data is modified is an old question in mathematical optimisation. This paper investigates the…
Reinforcement Learning for Joint Design and Control of Battery-PV Systems
Marine Cauz, Adrien Bolland, Bardhyl Miftari +3
The decentralisation and unpredictability of new renewable energy sources require rethinking our energy system. Data-driven approaches, such as reinforcement learning (RL), have em…