On Two Class-Constrained Versions of the Multiple Knapsack Problem

Abstract.

We study two variants of the classic knapsack problem, in which we need to place items of <e5>different types</e5> in multiple knapsacks; each knapsack has a limited capacity, and a bound on the number of different types of items it can hold: in the <e5>class-constrained multiple knapsack problem (CMKP)</e5> we wish to maximize the total number of packed items; in the <e5>fair placement problem (FPP)</e5> our goal is to place the same (large) portion from each set. We look for a perfect placement, in which both problems are solved optimally. We first show that the two problems are NP-hard; we then consider some special cases, where a perfect placement exists and can be found in polynomial time. For other cases, we give approximate solutions. Finally, we give a nearly optimal solution for the CMKP. Our results for the CMKP and the FPP are shown to provide efficient solutions for two fundamental problems arising in multimedia storage subsystems.