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Online scheduling on an unbounded parallel-batch machine to minimize the weighted makespan
by
Lu, Lingfa
, Zhang, Han
, Yuan, Jinjiang
in
Algorithms
/ Combinatorics
/ Competition
/ Computer aided scheduling
/ Convex and Discrete Geometry
/ Mathematical Modeling and Industrial Mathematics
/ Mathematics
/ Mathematics and Statistics
/ Operations Research/Decision Theory
/ Optimization
/ Schedules
/ Scheduling
/ Theory of Computation
2025
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Online scheduling on an unbounded parallel-batch machine to minimize the weighted makespan
by
Lu, Lingfa
, Zhang, Han
, Yuan, Jinjiang
in
Algorithms
/ Combinatorics
/ Competition
/ Computer aided scheduling
/ Convex and Discrete Geometry
/ Mathematical Modeling and Industrial Mathematics
/ Mathematics
/ Mathematics and Statistics
/ Operations Research/Decision Theory
/ Optimization
/ Schedules
/ Scheduling
/ Theory of Computation
2025
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Do you wish to request the book?
Online scheduling on an unbounded parallel-batch machine to minimize the weighted makespan
by
Lu, Lingfa
, Zhang, Han
, Yuan, Jinjiang
in
Algorithms
/ Combinatorics
/ Competition
/ Computer aided scheduling
/ Convex and Discrete Geometry
/ Mathematical Modeling and Industrial Mathematics
/ Mathematics
/ Mathematics and Statistics
/ Operations Research/Decision Theory
/ Optimization
/ Schedules
/ Scheduling
/ Theory of Computation
2025
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Online scheduling on an unbounded parallel-batch machine to minimize the weighted makespan
Journal Article
Online scheduling on an unbounded parallel-batch machine to minimize the weighted makespan
2025
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Overview
In this paper we study the online over-time scheduling on an unbounded parallel-batch machine to minimize the weighted makespan. First, we show that the general problem has a low bound 2 and then design a 4-competitive online algorithm. Furthermore, we consider a special case in which the jobs have agreeable processing times and weights. When all jobs have the same weights (the task is to minimize the makespan), an online algorithm with the best possible competitive ratio
5
+
1
2
≈
1.618
has been established in the literature. We show that, after a slightly modification, this known online algorithm also has the best possible competitive ratio
5
+
1
2
≈
1.618
for our problem. Finally, we introduce limited restarts into the above special case and present an online algorithm with a better competitive ratio
11
7
≈
1.571
.
Publisher
Springer US,Springer Nature B.V
Subject
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