Bottleneck capacity expansion problems with general budget constraints

Burkard, Rainer E. ; Klinz, Bettina ; Zhang, Jianzhong

RAIRO - Operations Research - Recherche Opérationnelle, Tome 35 (2001) no. 1, pp. 1-20

Résumé

This paper presents a unified approach for bottleneck capacity expansion problems. In the bottleneck capacity expansion problem, BCEP, we are given a finite ground set $E$, a family $ℱ$ of feasible subsets of $E$ and a nonnegative real capacity ${\widehat{c}}_e$ for all $e\in E$. Moreover, we are given monotone increasing cost functions $f_e$ for increasing the capacity of the elements $e\in E$ as well as a budget $B$. The task is to determine new capacities $c_e\ge {\widehat{c}}_e$ such that the objective function given by ${max}_{F\in ℱ}{min}_{e\in F}{c}_e$ is maximized under the side constraint that the overall expansion cost does not exceed the budget $B$. We introduce an algebraic model for defining the overall expansion cost and for formulating the budget constraint. This models allows to capture various types of budget constraints in one general model. Moreover, we discuss solution approaches for the general bottleneck capacity expansion problem. For an important subclass of bottleneck capacity expansion problems we propose algorithms which perform a strongly polynomial number of steps. In this manner we generalize and improve a recent result of Zhang et al. [15].

Détail

Classification : 90C57, 90C31, 90C32
Keywords: capacity expansion, bottleneck problem, strongly polynomial algorithm, algebraic optimization