Geodesic
Solving the Task Assignment Problem with a Variable Neighborhood Search
Serdica Journal of Computing, Tome 4 (2010) no. 4, pp. 435-446 Cet article a éte moissonné depuis la source Bulgarian Digital Mathematics Library

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In this paper a variable neighborhood search (VNS) approach for the task assignment problem (TAP) is considered. An appropriate neighborhood scheme along with a shaking operator and local search procedure are constructed specifically for this problem. The computational results are presented for the instances from the literature, and compared to optimal solutions obtained by the CPLEX solver and heuristic solutions generated by the genetic algorithm. It can be seen that the proposed VNS approach reaches all optimal solutions in a quite short amount of computational time.
Keywords: Task Assignment, Multiprocessor Systems, Variable Neighborhood Search, Assignment Problems, Combinatorial Optimization 
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     title = {Solving the {Task} {Assignment} {Problem} with a {Variable} {Neighborhood} {Search}},
     journal = {Serdica Journal of Computing},
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Kratica, Jozef; Savić, Aleksandar; Filipović, Vladimir; Milanović, Marija. Solving the Task Assignment Problem with a Variable Neighborhood Search. Serdica Journal of Computing, Tome 4 (2010) no. 4, pp. 435-446. http://geodesic.mathdoc.fr/item/SJC_2010_4_4_a2/