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Erschienen in: Journal of Combinatorial Optimization 4/2022

05.06.2020

A tight approximation algorithm for problem \(P2\rightarrow D|v=1,c=1|C_{\max }\)

verfasst von: Yinling Wang, Yan Lan, Xin Chen, Xin Han, Yong Piao

Erschienen in: Journal of Combinatorial Optimization | Ausgabe 4/2022

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Abstract

This paper focuses on the scheduling problem on two parallel machines with delivery coordination. In particular, given a set of n jobs, we aim to find a schedule with a minimal makespan such that all jobs are first executed on two parallel machines then delivered at the destination with a transporter. This problem is known to be NP-hard Chang and Lee (Eur J Oper Res 158(2):470–487, 2004), cannot be solved with an approximation ratio strictly less than 3/2 unless P=NP. We close the gap by proposing a polynomial time algorithm whose approximation ratio is \(3/2+\varepsilon \) with \(\varepsilon >0\), improve the previous best ratio \(14/9 + \epsilon \).

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Metadaten
Titel
A tight approximation algorithm for problem
verfasst von
Yinling Wang
Yan Lan
Xin Chen
Xin Han
Yong Piao
Publikationsdatum
05.06.2020
Verlag
Springer US
Erschienen in
Journal of Combinatorial Optimization / Ausgabe 4/2022
Print ISSN: 1382-6905
Elektronische ISSN: 1573-2886
DOI
https://doi.org/10.1007/s10878-020-00593-1

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