Co-evolutionary multi-population genetic programming for classification in software defect prediction: An empirical case study
Created by W.Langdon from
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- @Article{Mausa:2017:SC,
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author = "Goran Mausa and Tihana Galinac Grbac",
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title = "Co-evolutionary multi-population genetic programming
for classification in software defect prediction: An
empirical case study",
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journal = "Applied Soft Computing",
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year = "2017",
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volume = "55",
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pages = "331--351",
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month = jun,
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keywords = "genetic algorithms, genetic programming, SBSE,
Classification, Coevolution, Software defect
prediction",
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ISSN = "1568-4946",
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URL = "http://www.sciencedirect.com/science/article/pii/S1568494617300650",
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DOI = "doi:10.1016/j.asoc.2017.01.050",
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size = "21 pages",
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abstract = "Evolving diverse ensembles using genetic programming
has recently been proposed for classification problems
with unbalanced data. Population diversity is crucial
for evolving effective algorithms. Multilevel selection
strategies that involve additional colonization and
migration operations have shown better performance in
some applications. Therefore, in this paper, we are
interested in analysing the performance of evolving
diverse ensembles using genetic programming for
software defect prediction with unbalanced data by
using different selection strategies. We use
colonization and migration operators along with three
ensemble selection strategies for the multi-objective
evolutionary algorithm. We compare the performance of
the operators for software defect prediction datasets
with varying levels of data imbalance. Moreover, to
generalise the results, gain a broader view and
understand the underlying effects, we replicated the
same experiments on UCI datasets, which are often used
in the evolutionary computing community. The use of
multilevel selection strategies provides reliable
results with relatively fast convergence speeds and
outperforms the other evolutionary algorithms that are
often used in this research area and investigated in
this paper. This paper also presented a promising
ensemble strategy based on a simple convex hull
approach and at the same time it raised the question
whether ensemble strategy based on the whole population
should also be investigated.",
- }
Genetic Programming entries for
Goran Mausa
Tihana Galinac Grbac
Citations