Genetic Programming With Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem
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- @Article{Ardeh:2022:ieeeTEC,
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author = "Mazhar {Ansari Ardeh} and Yi Mei and Mengjie Zhang",
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title = "Genetic Programming With Knowledge Transfer and Guided
Search for Uncertain Capacitated Arc Routing Problem",
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journal = "IEEE Transactions on Evolutionary Computation",
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year = "2022",
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volume = "26",
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number = "4",
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pages = "765--779",
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month = aug,
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keywords = "genetic algorithms, genetic programming",
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ISSN = "1089-778X",
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DOI = "doi:10.1109/TEVC.2021.3129278",
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abstract = "The uncertain capacitated arc routing problem has many
real-world applications in logistics domains. Genetic
programming (GP) is a promising approach to training
routing policies to make real-time decisions and handle
uncertain events effectively. In the real world, there
are various problem domains and no single routing
policy can work effectively in all of them. Instead of
training in isolation, we can leverage the relatedness
between the problems and transfer knowledge from
previously solved source problems to solve the target
problem. The existing transfer methods are not
effective enough due to the loss of diversity during
the knowledge transfer. To increase the diversity of
the transferred knowledge, in this article, we propose
a novel GP method that removes phenotypic duplicates
from the source individuals to initialize the target
individuals. Furthermore, assuming that the transferred
knowledge used in initialization already includes all
the important knowledge ex",
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notes = "also known as \cite{9621218}",
- }
Genetic Programming entries for
Mazhar Ansari Ardeh
Yi Mei
Mengjie Zhang
Citations