Research output: Contribution to journal › Article › peer-review
Irreducible bin packing and normality in routing open shop. / Chernykh, Ilya; Pyatkin, Artem.
In: Annals of Mathematics and Artificial Intelligence, Vol. 89, No. 8-9, 09.2021, p. 899-918.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Irreducible bin packing and normality in routing open shop
AU - Chernykh, Ilya
AU - Pyatkin, Artem
N1 - Funding Information: This research was supported by the Russian Foundation for Basic Research, project 20-01-00045, and by the program of fundamental scientific researches of the SB RAS, project 0314-2019-0014. Publisher Copyright: © 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
PY - 2021/9
Y1 - 2021/9
N2 - The open shop is a classical scheduling problem known since 1976, which can be described as follows. A number of jobs have to be processed by a given set of machines, each machine should perform an operation on every job, and the processing times of all the operations are given. One has to construct a schedule to perform all the operations to minimize finish time also known as the makespan. The open shop problem is known to be NP-hard for three and more machines, while is polynomially solvable in the case of two machines. We consider the routing open shop problem, being a generalization of both the open shop problem and the metric traveling salesman problem. In this setting, jobs are located at nodes of a transportation network and have to be processed by mobile machines, initially located at a predefined depot. Machines have to process all the jobs and return to the depot to minimize makespan. A feasible schedule is referred to as normal if its makespan coincides with the standard lower bound. We introduce the Irreducible Bin Packing decision problem, use it to describe new sufficient conditions of normality for the two machine problem, and discuss the possibility to extend these results on the problem with three and more machines. To that end, we present two new computer-aided optima localization results.
AB - The open shop is a classical scheduling problem known since 1976, which can be described as follows. A number of jobs have to be processed by a given set of machines, each machine should perform an operation on every job, and the processing times of all the operations are given. One has to construct a schedule to perform all the operations to minimize finish time also known as the makespan. The open shop problem is known to be NP-hard for three and more machines, while is polynomially solvable in the case of two machines. We consider the routing open shop problem, being a generalization of both the open shop problem and the metric traveling salesman problem. In this setting, jobs are located at nodes of a transportation network and have to be processed by mobile machines, initially located at a predefined depot. Machines have to process all the jobs and return to the depot to minimize makespan. A feasible schedule is referred to as normal if its makespan coincides with the standard lower bound. We introduce the Irreducible Bin Packing decision problem, use it to describe new sufficient conditions of normality for the two machine problem, and discuss the possibility to extend these results on the problem with three and more machines. To that end, we present two new computer-aided optima localization results.
KW - Computer-aided proof
KW - Irreducible bin packing
KW - Normality
KW - Optima localization
KW - Polynomially solvable subcases
KW - Routing open shop
UR - http://www.scopus.com/inward/record.url?scp=85108610492&partnerID=8YFLogxK
U2 - 10.1007/s10472-021-09759-x
DO - 10.1007/s10472-021-09759-x
M3 - Article
AN - SCOPUS:85108610492
VL - 89
SP - 899
EP - 918
JO - Annals of Mathematics and Artificial Intelligence
JF - Annals of Mathematics and Artificial Intelligence
SN - 1012-2443
IS - 8-9
ER -
ID: 34110239