Improved Approximation Algorithms for Resource Allocation

  • Authors:
  • Gruia Calinescu;Amit Chakrabarti;Howard J. Karloff;Yuval Rabani

  • Affiliations:
  • -;-;-;-

  • Venue:
  • Proceedings of the 9th International IPCO Conference on Integer Programming and Combinatorial Optimization
  • Year:
  • 2002

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Abstract

We study the problem of finding a most profitable subset of n given tasks, each with a given start and finish time as well as profit and resource requirement, that at no time exceeds the quantity B of available resource. We show that this NP-hard Resource Allocation problem can be (1/2-驴)-approximated in polynomial time, which improves upon earlier approximation results for this problem, the best previously published result being a 1/4-approximation.We also give a simpler and faster 1/3-approximation algorithm.