Abstract
The Cumulative Assignment Problem is an NP-complete problem obtained by substituting the linear objective function of the classic Linear Assignment Problem, with a non-linear cumulative function. In this paper we present a first attempt to solve the Cumulative Assignment Problem with metaheuristic techniques. In particular we consider two standard techniques, namely the Simulated Annealing and the Multi-Start methods, and we describe the eXploring Tabu Search: a new structured Tabu Search algorithm which uses an iterative multi-level approach to improve the search. The new method is analyzed through extensive computational experiments and proves to be more effective than the standard methods.
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Dell'amico, M., Lodi, A. & Maffioli, F. Solution of the Cumulative Assignment Problem With a Well-Structured Tabu Search Method. Journal of Heuristics 5, 123–143 (1999). https://doi.org/10.1023/A:1009647225748
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DOI: https://doi.org/10.1023/A:1009647225748