An algorithm for solving the job-shop problem
Management Science
Annals of Operations Research
A branch and bound algorithm for the job-shop scheduling problem
Discrete Applied Mathematics - Special volume: viewpoints on optimization
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Advanced scheduling problem using constraint programming techniques in SCM environment
Computers and Industrial Engineering - Supply chain management
Computers and Industrial Engineering
A fast on-line algorithm for the preemptive scheduling of equal-length jobs on a single processor
CEA'08 Proceedings of the 2nd WSEAS International Conference on Computer Engineering and Applications
Single-Machine Scheduling Problems with Generalized Preemption
INFORMS Journal on Computing
Competitive Two-Agent Scheduling and Its Applications
Operations Research
AMERICAN-MATH'10 Proceedings of the 2010 American conference on Applied mathematics
Minimizing the number of tardy jobs in a single-machine scheduling problem with periodic maintenance
Computers and Operations Research
Online scheduling of bounded length jobs to maximize throughput
WAOA'09 Proceedings of the 7th international conference on Approximation and Online Algorithms
Operations Research Letters
On-line scheduling on a single machine: maximizing the number of early jobs
Operations Research Letters
Preemptive scheduling of equal-length jobs to maximize weighted throughput
Operations Research Letters
Optimality proof of the Kise---Ibaraki---Mine algorithm
Journal of Scheduling
Speed scaling problems with memory/cache consideration
TAMC'12 Proceedings of the 9th Annual international conference on Theory and Applications of Models of Computation
Online scheduling of bounded length jobs to maximize throughput
Journal of Scheduling
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We study the problem of minimizing, in the preemptive case, the number of late jobs on a single machine (1|pmtn,r"j|@?U"j). This problem can be solved by Lawler's algorithm [E.L. Lawler, Ann. Oper. Res. 26 (1990) 125-133] whose time and space complexities are respectively O(n^5) and O(n^3). We propose a new dynamic programming algorithm whose complexities are respectively O(n^4) and O(n^2).