This paper presents an updated and comprehensive review of discrete optimization techniques for solving time-dependent problems, ie decision problems in which activities and resources have to be scheduled over time. Known compact models with continuous variables representing arrival/service/departure times are either (i) nonlinear or (ii) linear with a weak relaxation. This is why practitioners (and a consistent part of the scientific literature) make use of a discretization of time which introduces an approximation. Such …
https://doi.org/10.1007/s11750-019-00510-8Cite as:
@article{Ghiani_2019, doi = {10.1007/s11750-019-00510-8}, url = {https://doi.org/10.1007%2Fs11750-019-00510-8}, year = 2019, month = {may}, publisher = {Springer Science and Business Media {LLC}}, volume = {27}, number = {2}, pages = {178--179}, author = {Gianpaolo Ghiani and Emanuela Guerriero}, title = {Comments on: Perspectives on integer programming for time-dependent models}, journal = {{TOP}} }