Title
Exponential time algorithms for just-in-time scheduling problems with common due date and symmetric weights
Abstract
This paper focuses on the solution, by exact exponential-time algorithms, of just-in-time scheduling problems when jobs have symmetric earliness/tardiness weights and share a non restrictive common due date. For the single machine problem, a Sort & Search algorithm is proposed with worst-case time and space complexities in $$\mathcal {O}^*(1.4143^n)$$. This algorithm relies on an original modeling of the problem. For the case of parallel machines, an algorithm integrating a dynamic programming algorithm across subsets and machines and the above Sort & Search algorithm is proposed with worst-case time and space complexities in $$\mathcal {O}^*(3^n)$$. To the best of our knowledge, these are the first worst-case complexity results obtained for non regular criteria in scheduling.
Year
DOI
Venue
2020
10.1007/s10878-019-00512-z
Journal of Combinatorial Optimization
Keywords
Field
DocType
Single machine, Parallel machines, Just-in-time, Exponential time algorithms
Dynamic programming,Mathematical optimization,Search algorithm,Tardiness,Exponential function,Scheduling (computing),sort,Spacetime,Algorithm,Mathematics,Theory of computation
Journal
Volume
Issue
ISSN
39
3
1382-6905
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Vincent T'kindt120321.04
Lei Shang200.34
Federico Della Croce339941.60