Efficient Resource Allocation with Noisy Functions

  • Arne Andersson
  • Per Carlsson
  • Fredrik Ygge
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2141)


We consider resource allocation with separable objective functions defined over subranges of the integers. While it is well known that (the maximisation version of) this problem can be solved efficiently if the objective functions are concave, the general problem of resource allocation with functions that are not necessarily concave is difficult. In this paper we show that for a large class of problem instances with noisy objective functions the optimal solutions can be computed efficiently. We support our claims by experimental evidence. Our experiments show that our algorithm in hard and practically relevant cases runs up to 40 – 60 times faster than the standard method.


Objective Function Resource Allocation Optimal Allocation Neighbourhood Search Aggregate Function 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Arne Andersson
    • 1
  • Per Carlsson
    • 2
    • 3
  • Fredrik Ygge
    • 4
  1. 1.Computing Science Department, Information TechnologyUppsala UniversityUppsalaSweden
  2. 2.Computing Science Department, Information TechnologyUppsala UniversitySweden
  3. 3.Computer Science DepartmentLund UniversityLundSweden
  4. 4.Enersearch AB and Computing Science Department, Information TechnologyUppsala UniversityGothenburgSweden

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