Evolutionary algorithms for the resource constrained scheduling problem
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- @InProceedings{Frankola:2008:ITI,
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author = "Toni Frankola and Marin Golub and Domagoj Jakobovic",
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title = "Evolutionary algorithms for the resource constrained
scheduling problem",
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booktitle = "30th International Conference on Information
Technology Interfaces, ITI 2008",
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year = "2008",
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month = jun,
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pages = "715--722",
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keywords = "genetic algorithms, genetic programming, NP complete
problems, evolutionary algorithms, optimal sequence
finding, resource constrained project scheduling
problem, constraint theory, project management,
resource allocation, scheduling",
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DOI = "doi:10.1109/ITI.2008.4588499",
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ISSN = "1330-1012",
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abstract = "This paper investigates the use of evolutionary
algorithms for solving resource constrained scheduling
problem which belongs to the class of NP complete
problems. The problem involves finding optimal sequence
of activities with given resource constraints.
Evolutionary algorithms used in this paper are genetic
algorithms and genetic programming, for which adequate
scheduling mechanisms are defined. Presented solutions
are compared with existing heuristics or optimal
results.",
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notes = "p715 'With genetic programming we describe a
methodology to evolve scheduling heuristics in the form
of priority rules that can be used to find a solution
of an acceptable quality in a small amount of time.'
Also known as \cite{4588499}",
- }
Genetic Programming entries for
Toni Frankola
Marin Golub
Domagoj Jakobovic
Citations