Marshall W. Bern, Howard J. Karloff, et al.
Theoretical Computer Science
Methods are presented that are useful in solving some large scale hierarchical planning models involving 0-1 variables. These 0-1 programming problems initially could not be solved with any standard techniques. The authors employed several approaches to take advantage of the hierarchical structure of variables (ordered by importance) and other structures present in the models. Critical, but not sufficient for success, was a strong linear programming formulation. The authors describe methods for strengthening the linear programs, as well as other techniques necessary for a commercial branch-and-bound code to be successful in solving these problems.
Marshall W. Bern, Howard J. Karloff, et al.
Theoretical Computer Science
S.F. Fan, W.B. Yun, et al.
Proceedings of SPIE 1989
Oliver Bodemer
IBM J. Res. Dev
Michael C. McCord, Violetta Cavalli-Sforza
ACL 2007