Approximation of k-set cover by semi-local optimization
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
On the hardness of approximating minimization problems
Journal of the ACM (JACM)
An Approximation Scheme for Bin Packing with Conflicts
SWAT '98 Proceedings of the 6th Scandinavian Workshop on Algorithm Theory
Complexity of approximating bounded variants of optimization problems
Theoretical Computer Science - Foundations of computation theory (FCT 2003)
Approximation schemes for packing splittable items with cardinality constraints
WAOA'07 Proceedings of the 5th international conference on Approximation and online algorithms
WAOA'06 Proceedings of the 4th international conference on Approximation and Online Algorithms
Approximating the unweighted k-set cover problem: greedy meets local search
WAOA'06 Proceedings of the 4th international conference on Approximation and Online Algorithms
Order consolidation for hierarchical product lines
Journal of Combinatorial Optimization
Hi-index | 5.23 |
We consider a problem of minimizing the number of batches of afixed capacity processing the orders of various sizes on a finiteset of items. This batch consolidation problem is motivated by theproduction system typical in raw material industries in whichmultiple items can be processed in the same batch if they sharesufficiently close production parameters. If the number of itemsprocessed in a batch is restricted to being up to some fixedinteger k, the problem is referred to as the k-batchconsolidation problem. We will show that the k-batchconsolidation problem admits an approximation whose factor is twicethat of the k-set cover problem. In particular, this impliesan upper bound on the approximation factor,2Hk-1, whereHk=1+½+...+1/k.