Solution of the Cumulative Assignment Problem With a Well-Structured TabuSearch Method

  • Authors:
  • Mauro Dell‘amico;Andrea Lodi;Francesco Maffioli

  • Affiliations:
  • Università di Modena e Reggio Emilia, Dipartimento di Scienze e Metodi dell‘Ingegneria, Viale Allegri 15, 42100 Reggio Emilia. dellamico@unimo.it;Dipartimento di Elettronica, Informatica e Sistemistica, Università di Bologna, viale Risorgimento 2, 40136 Bologna, Italy. alodi@deis.unibo.it;Dipartimento di Elettronica e Informazione, Politecnico di Milano, P.zza L. da Vinci 32, 20133 Milano, Italy. maffioli@elet.polimi.it

  • Venue:
  • Journal of Heuristics
  • Year:
  • 1999

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Abstract

The Cumulative Assignment Problem is an NP-complete problemobtained by substituting the linear objective function of the classic LinearAssignment Problem, with a non-linear cumulative function. In this paper wepresent a first attempt to solve the Cumulative Assignment Problem withmetaheuristic techniques. In particular we consider two standard techniques,namely the Simulated Annealing and the Multi-Start methods, and we describe theeXploring 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 thanthe standard methods.