An algorithm with parameterized complexity of constructing the optimal schedule for the routing open shop problem with unit execution times. van Bevern, R. A., Pyatkin, A. V., & Sevastyanov, S. V. Siberian Electronic Mathematical Reports, 16:42–84, 2019. doi abstract bibtex 2 downloads For the Routing Open Shop problem with unit execution times, the first algorithm with parameterized complexity is designed for constructing an optimal schedule. Its running time is bounded by a function (Pol(|V |) + f(m, g))·|I|, where Pol(|V|) is a polynomial of the number of network nodes, f(m, g) is a function of the number of machines and the number of job locations, and |I| is the input length in its compact encoding.
@article{BPS19,
author = {René A. van Bevern and Artem V. Pyatkin and Sergey
V. Sevastyanov},
journal = {Siberian Electronic Mathematical Reports},
title = {An algorithm with parameterized complexity of
constructing the optimal schedule for the routing
open shop problem with unit execution times},
date = {2019-01-27},
year = 2019,
volume = 16,
pages = {42--84},
doi = {10.33048/semi.2019.16.003},
issn = {1813-3304},
abstract = {For the Routing Open Shop problem with unit
execution times, the first algorithm with
parameterized complexity is designed for
constructing an optimal schedule. Its running time
is bounded by a function (Pol(|V |) + f(m, g))·|I|,
where Pol(|V|) is a polynomial of the number of
network nodes, f(m, g) is a function of the number
of machines and the number of job locations, and |I|
is the input length in its compact encoding.}
}
Downloads: 2
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