Ensembles of priority rules for resource constrained project scheduling problem
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- @Article{DUMIC:2021:ASC,
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author = "Mateja Dumic and Domagoj Jakobovic",
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title = "Ensembles of priority rules for resource constrained
project scheduling problem",
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journal = "Applied Soft Computing",
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volume = "110",
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pages = "107606",
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year = "2021",
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ISSN = "1568-4946",
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DOI = "doi:10.1016/j.asoc.2021.107606",
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URL = "https://www.sciencedirect.com/science/article/pii/S1568494621005275",
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keywords = "genetic algorithms, genetic programming, Resource
constrained project scheduling problem,
Hyper-heuristics, Priority rules, Ensemble, Machine
learning",
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abstract = "Resource constrained project scheduling problem is an
NP-hard problem that attracts many researchers because
of its complexity and daily use. In literature there
are a lot of various solving methods for this problem.
The priority rules are one of the prominent methods
used in practice. Because of their simplicity, speed,
and possibility to react to changes in the system, they
can be used in a dynamic environment. In this paper,
ensembles of priority rules were created to improve the
performance of priority rules created with genetic
programming. For ensemble creation, four different
methods will be considered: simple ensemble
combination, BagGP, BoostGP, and cooperative
coevolution. The priority rules that are part of the
ensemble will be combined with the sum and vote methods
in reaching the final decision. Additionally, the
ensemble subset search method will be applied to the
created ensembles to find the optimal subset of
priority rules. The results achieved in this paper show
that ensembles of priority rules can achieve
significantly better results than those achieved when
using only a single priority rule",
- }
Genetic Programming entries for
Mateja Dumic
Domagoj Jakobovic
Citations