Bottleneck assignment problems under categorization
This paper considers two special cases of bottleneck grouped assignment problems when n jobs belong to m distinct categories \((m<n)\). Solving these special problems through the available branch and bound algorithms will result in a heavy computational burden. Sequentially identifying nonoptimal variables, this paper provides more efficient methods for those cases. Propositions leading to the algorithms have been established. Numerical examples illustrate the respective algorithms.
scientific article; zbMATH DE number 3999638