Abstract | ||
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We consider a multi-purpose identical parallel machine scheduling problem, in which jobs should be executed on some machine belonging to a given subset of the set of machines. The problem is PMPM|r"j;p"j=1|@?w"jU"j, where there are n independent unit-time jobs, time window constraints, m identical parallel multi-purpose machines, and the objective is the minimization of the total weighted number of tardy jobs. The best previous complexity for this problem is O(n^2m(n+logm)), employing network flow techniques. We develop an algorithm that handles successive nesting of on-time jobs more efficiently, with O(n^3) overall time complexity. |
Year | DOI | Venue |
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2014 | 10.1016/j.dam.2011.11.033 | Discrete Applied Mathematics |
Keywords | Field | DocType |
tardy job,m identical parallel multi-purpose,overall time complexity,on-time job,previous complexity,time window constraint,scheduling problem,network flow technique,n independent unit-time job,multi-purpose parallel machine,multi-purpose identical parallel machine,algorithms | Flow network,Discrete mathematics,Combinatorics,Machine scheduling,Multiprocessor scheduling,Job shop scheduling,Computer science,Scheduling theory,Minification,Time complexity | Journal |
Volume | ISSN | Citations |
164 | 0166-218X | 1 |
PageRank | References | Authors |
0.39 | 5 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rosiane de Freitas Rodrigues | 1 | 11 | 3.14 |
Mitre Dourado | 2 | 90 | 18.43 |
Jayme Luiz Szwarcfiter | 3 | 618 | 95.79 |