Evolving priority scheduling heuristics with genetic programming
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- @Article{Jakobovic20122781,
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author = "Domagoj Jakobovic and Kristina Marasovic",
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title = "Evolving priority scheduling heuristics with genetic
programming",
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journal = "Applied Soft Computing",
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volume = "12",
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number = "9",
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pages = "2781--2789",
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year = "2012",
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ISSN = "1568-4946",
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DOI = "doi:10.1016/j.asoc.2012.03.065",
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URL = "http://www.sciencedirect.com/science/article/pii/S1568494612001780",
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keywords = "genetic algorithms, genetic programming, Priority
scheduling, Scheduling heuristics",
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abstract = "This paper investigates the use of genetic programming
in automated synthesis of scheduling heuristics for an
arbitrary performance measure. Genetic programming is
used to evolve the priority function, which determines
the priority values of certain system elements (jobs,
machines). The priority function is used within an
appropriate meta-algorithm for a given environment,
which forms the priority scheduling heuristic. The
evolved solutions are compared with existing scheduling
heuristics and found to perform similarly to or better
than existing algorithms. We intend to show that this
approach is particularly useful for combinations of
scheduling environments and performance measures for
which no adequate scheduling algorithms exist.",
- }
Genetic Programming entries for
Domagoj Jakobovic
Kristina Marasovic
Citations