Publications from GERAD

The fruit of our labor

Cahiers du GERAD

Collection of technical reports and working papers, testimony to the strength and productivity of our group.

Scientific Publications

Repository of all the categories of scientific publications produced by our members over the years.

Newsletter

Semi-annual magazine popularizing scientific research carried out by our members and summary of our recent activities.

Recent Cahiers

Browse the collection
G-2026-28 Cross-layer consolidation and defragmentation in OTN-over-EON networks
, , , , and

Optical transport networks (OTNs) carry Ethernet traffic over lightpaths that can be provisioned using elastic optical networks (EONs) with flexible spectrum...

G-2024-36 Branch-and-Price
, , , and

Integer (linear) programs are a standard way of formalizing a vast array of optimization problems in industry, services, management, science, and technology....

G-2026-26 Benchmarking bilevel derivative-free optimization algorithms
, , and

Bilevel optimization involves an upper-level and a lower-level decision maker. The lower-level optimization problem is nested within the constraints of the ...

G-2026-23 Sensitivity analysis of tactical wireless network design under realistic operational constraints
and

The design of tactical wireless networks reflects a complex interplay among structural constraints, technological choices, and underlying modeling assumption...

G-2026-22 Tabu search for tactical wireless network design in challenging environments
and

Tactical wireless networks play a vital role in ensuring reliable connectivity in scenarios where conventional telecommunications infrastructure is unavailab...

Recent Scientific Publications

See all publications

article

The routing-and-driving problem for plug-in hybrid electric vehicles
, , and

The routing-and-driving problem for plug-in hybrid electric vehicles (PHEVs) is an extension of the vehicle routing problem with time windows, where routing ...

article

Advances in Power Consumption Model for Data Centers: Analytical Formulas vs. Machine Learning Models
, , , , and