Approximation algorithms for bicriteria scheduling problems on identical parallel machines for makespan and total completion time

•Bicriteria scheduling problems on identical parallel machines.•Simultaneous optimization of the two objectives: the makespan and the total completion time.•Developing approximation algorithms relative to each objective’s optimal value.•A tradeoff curve of the approximation ratio.•Lower bound of the...

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Bibliographic Details
Published in:European journal of operational research Vol. 305; no. 2; pp. 594 - 607
Main Authors: Jiang, Xiaojuan, Lee, Kangbok, Pinedo, Michael L.
Format: Journal Article
Language:English
Published: Elsevier B.V 01.03.2023
Subjects:
Approximation algorithm
Inapproximability
Makespan
Scheduling
Total completion time
Scheduling
Makespan
Approximation algorithm
Total completion time
Inapproximability
ISSN:0377-2217, 1872-6860
Online Access:Get full text
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Summary:•Bicriteria scheduling problems on identical parallel machines.•Simultaneous optimization of the two objectives: the makespan and the total completion time.•Developing approximation algorithms relative to each objective’s optimal value.•A tradeoff curve of the approximation ratio.•Lower bound of the approximation ratio which cannot be improved by any algorithm. We consider bicriteria scheduling problems with identical machines in parallel and two popular but conflicting objectives, namely, the makespan and the total completion time. Assuming no prioritization of the two objectives, we are interested in the simultaneous optimization of the two objectives and approximation algorithms relative to an ideal schedule – which may not exist – that has both objectives at their minimum. For the problem with a given number of machines, we propose a fast (ρ1,ρ2)-approximation algorithm where ρ1 and ρ2 represent approximation ratios with regard to the makespan and the total completion time, respectively. We also analyze the problem’s inapproximability by proposing a lower bound of the approximation ratio, which cannot be improved by any algorithm.
ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2022.06.021