Bicriteria scheduling on an unbounded parallel-batch machine for minimizing makespan and maximum cost

被引:22
|
作者
Li, Shuguang [1 ]
Geng, Zhichao [2 ]
机构
[1] Shandong Technol & Business Univ, Sch Comp Sci & Technol, Yantai 264005, Peoples R China
[2] Zhengzhou Univ, Sch Math & Stat, Zhengzhou 450001, Peoples R China
关键词
Scheduling; Pareto optimization; Unbounded parallel -batch; Precedence; Maximum cost; LATENESS; SUBJECT;
D O I
10.1016/j.ipl.2022.106343
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper studies the bicriteria problem of scheduling n jobs on an unbounded parallel -batch machine. The goal is to minimize makespan and maximum cost simultaneously. When the jobs have arbitrary processing times and equal release dates, we obtain an O (n3)-time algorithm, improving the previously best known O (n4)-time algorithm. When the jobs have equal processing times and arbitrary release dates with a precedence relation, we also obtain an O (n3)-time algorithm, which is the first polynomial time algorithm for this problem. (c) 2022 Elsevier B.V. All rights reserved.
引用
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页数:6
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