merging nodes in search trees an exact exponential algorithm for the single machine total tardiness scheduling problem

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Názov: merging nodes in search trees an exact exponential algorithm for the single machine total tardiness scheduling problem
Autori: Shang, Lei, Garraffa, Michele, Della Croce, Federico, T'Kindt, Vincent
Prispievatelia: Lei Shang and Michele Garraffa and Federico Della Croce and Vincent T'Kindt
Informácie o vydavateľovi: Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2018.
Rok vydania: 2018
Predmety: Exact exponential algorithm, Single machine total tardiness, Branch-and-merge, ddc:004
Popis: This paper proposes an exact exponential algorithm for the problem of minimizing the total tardiness of jobs on a single machine. It exploits the structure of a basic branch-and-reduce framework based on the well known Lawler's decomposition property. The proposed algorithm, called branch-and-merge, is an improvement of the branch-and-reduce technique with the embedding of a node merging operation. Its time complexity is O*(2.247^n) keeping the space complexity polynomial. The branch-and-merge technique is likely to be generalized to other sequencing problems with similar decomposition properties.
Druh dokumentu: Article
Conference object
Popis súboru: application/pdf
DOI: 10.4230/lipics.ipec.2017.28
Prístupová URL adresa: https://drops.dagstuhl.de/opus/volltexte/2018/8546/
https://doi.org/10.4230/LIPIcs.IPEC.2017.28
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.IPEC.2017.28
Rights: CC BY
Prístupové číslo: edsair.dedup.wf.002..be9c3dbeca2bc72fd48a6980ac7e08a1
Databáza: OpenAIRE
Popis
Abstrakt:This paper proposes an exact exponential algorithm for the problem of minimizing the total tardiness of jobs on a single machine. It exploits the structure of a basic branch-and-reduce framework based on the well known Lawler's decomposition property. The proposed algorithm, called branch-and-merge, is an improvement of the branch-and-reduce technique with the embedding of a node merging operation. Its time complexity is O*(2.247^n) keeping the space complexity polynomial. The branch-and-merge technique is likely to be generalized to other sequencing problems with similar decomposition properties.
DOI:10.4230/lipics.ipec.2017.28