Mathematical Programming Computation - MPC "Best Paper of the Year" Award
This award is made annually to the best paper that appeared in print during the previous calendar year.
Winners
2021 Winner
- Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, Todd Munson:
Minotaur: a mixed-integer nonlinear optimization toolkit.
Mathematical Programming Computation. 13(2): 301–338(2021) (Read the article here)
2020 Winner
- Bartolomeo Stellato, Goran Banjac, Paul Goulart, Alberto Bemporad, Stephen Boyd:
OSQP: an operator splitting solver for quadratic programs.
Mathematical Programming Computation. 12(4): 637–672(2020) (Read the article here)
2019 Winners
- Marc Pfetsch, Thomas Rehn:
A computational comparison of symmetry handling methods for mixed integer programs.
Mathematical Programming Computation 11(1):37-93 (2019) (Read the article here) Coralia Cartis, Lindon Roberts:
A derivative-free Gauss–Newton method.
Mathematical Programming Computation 11(4):631–674 (2019) (Read the article here)
2018 Winner
- Qi Huangfu, J. A. J. Hall:
Parallelizing the dual revised simplex method.
Mathematical Programming Computation. 10(1): 119-142 (2018) (Read the article here)
2018 Honorable Mention
- Pierre Bonami, Oktay Günlük, and Jeff Linderoth:
Globally solving nonconvex quadratic programming problems with box constraints via integer programming methods.
Mathematical Programming Computation. 10(3): 333–382 (2018) (Read the article here)
2017 Winner
- Diego Pecin, Artur Pessoa, Marcos Poggi, Eduardo Uchoapp:
Improved branch-cut-and-price for capacitated vehicle routing.
Mathematical Programming Computation. 9(1): 61-100, (2017) (Read the article here)