单机两代理串行分批排序问题的近似算法

doi:10.15960/j.cnki.issn.1007-6093.2025.02.014

Abstract

Abstract:

In this paper, two-agent serial batching problems are studied on a single machine. Each batch has a capacity constraint on the processing time. And there is batching cost for each batch which is a constant. The preemption of jobs is not allowed. We consider two problems: One problem is to minimize the sum of the total completion time and the batching cost of one agent under the condition that the sum of the makespan and the batching cost of the other agent does not exceed a threshold value. The other is to minimize the sum of the total completion time and the batching cost of one agent under the condition that the sum of the total completion time and the batching cost of the other agent does not exceed a threshold value. Both problems are NP-hard. A (2, 3/2)-approximation algorithm is provided for the first problem and for the second problem, we design a (2, 2)-asymptotic approximation algorithm.

Key words: agent scheduling, approximate ratio, batch, asymptotic approximation

CLC Number:

O221.7

Di ZHAO, Jin YU, Xiwen LU. Approximation algorithms for two-agent serial batching scheduling problems[J]. Operations Research Transactions, 2025, 29(2): 184-193.

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URL: https://www.ort.shu.edu.cn/EN/10.15960/j.cnki.issn.1007-6093.2025.02.014

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Approximation algorithms for two-agent serial batching scheduling problems

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