We consider the problem of spanning the nodes of a given colored graph G=(N,A) by a set of node-disjoint cycles at minimum reload cost, where a non-negative reload cost is paid whenever passing through a node where the two consecutive arcs have different colors. We call this problem Minimum Reload Cost Cycle Cover (MinRC3 for short). We prove that it is strongly NP-hard and not approximable within 1/ϵ for any ϵ>0 even when the number of colors is 2, the reload costs are symmetric and satisfy the triangle inequality. Some IP models for MinRC3 are then presented, one well suited for a Column Generation approach. The corresponding pricing subproblem is also proved strongly NP-hard. Primal bounds for MinRC3 are obtained via local search based heuristics exploiting 2-opt and 3-opt neighborhoods. Computational results are presented comparing lower and upper bounds obtained by the above mentioned approaches.
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Titolo: | On Minimum Reload Cost Cycle Cover | |
Autori: | ||
Data di pubblicazione: | 2014 | |
Rivista: | ||
Abstract: | We consider the problem of spanning the nodes of a given colored graph G=(N,A) by a set of node-disjoint cycles at minimum reload cost, where a non-negative reload cost is paid whenever passing through a node where the two consecutive arcs have different colors. We call this problem Minimum Reload Cost Cycle Cover (MinRC3 for short). We prove that it is strongly NP-hard and not approximable within 1/ϵ for any ϵ>0 even when the number of colors is 2, the reload costs are symmetric and satisfy the triangle inequality. Some IP models for MinRC3 are then presented, one well suited for a Column Generation approach. The corresponding pricing subproblem is also proved strongly NP-hard. Primal bounds for MinRC3 are obtained via local search based heuristics exploiting 2-opt and 3-opt neighborhoods. Computational results are presented comparing lower and upper bounds obtained by the above mentioned approaches. | |
Handle: | http://hdl.handle.net/11571/805638 | |
Appare nelle tipologie: | 1.1 Articolo in rivista |