Multi resource agent bottleneck generalized assignment problem

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2010
Karabulut, Özlem
In this thesis, we consider the Multi Resource Agent Bottleneck Generalized Assignment Problem. We aim to minimize the maximum load over all agents. We study the Linear Programming (LP) relaxation of the problem. We use the optimal LP relaxation solutions in our Branch and Bound algorithm while defining lower and upper bounds and branching schemes. We find that our Branch and Bound algorithm returns optimal solutions to the problems with up to 60 jobs when the number of agents is 5, and up to 30 jobs when the number of agents is 10, in less than 20 minutes. To find approximate solutions, we define a tabu search algorithm and an α approximation algorithm. Our computational results have revealed that these procedures can find high quality solutions to large sized instances very quickly.

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Citation Formats
Ö. Karabulut, “Multi resource agent bottleneck generalized assignment problem,” M.S. - Master of Science, Middle East Technical University, 2010.