cbp: branch-and-price algorithms for conic submodular binpacking


Binpacking is an important combinatorial problem in operations research. Conic submodular binpacking generalizes the classical binpacking problem to nonlinear setting, and it can formulate the chance-constrained binpacking, the distributionally robust binpacking etc. cbp implements several branch-and-price algorithms to solve the conic submodular binpacking problems. Github

cflg: an algorithmic toolkit for continuous set covering on networks


Facility location is an important appication in operations research. Continuous set covering on networks generalizes the classical dicrete set covering problems in graphs, which allows both the demands and facilities continuously locating in edges. cflg contains several algorithms for solving continuous set covering on networks. cflg is written in Julia based on JuMP. Github