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arXiv · 1811.02882

Iterated local search and very large neighborhoods for the parallel-machines total tardiness problem

F Croce·Thierry Garaix·A. Grosso
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Abstract

We present computational results with a heuristic algorithm for the parallel machines total weighted tardiness problem. The algorithm combines generalized pairwise interchange neighborhoods, dynasearch optimization and a new machine-based neighborhood whose size is non-polynomial in the number of machines. The computational results significantly improve over the current state of the art for this problem.

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F Croce, Thierry Garaix, A. Grosso. 2018-10-26. Iterated local search and very large neighborhoods for the parallel-machines total tardiness problem. https://doi.org/10.1016/j.cor.2010.10.017

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