A Multi-Objective Genetic Programming Algorithm with alpha-dominance and Archive for Uncertain Capacitated Arc Routing Problem
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- @Article{Shaolin_Wang:ieeeTEC,
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author = "Shaolin Wang and Yi Mei and Mengjie Zhang",
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title = "A Multi-Objective Genetic Programming Algorithm with
alpha-dominance and Archive for Uncertain Capacitated
Arc Routing Problem",
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journal = "IEEE Transactions on Evolutionary Computation",
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year = "2023",
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volume = "27",
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number = "6",
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pages = "1633--1647",
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month = dec,
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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.2022.3195165",
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abstract = "The uncertain capacitated arc routing problem is an
important combinatorial optimization problem with many
applications in the real world. Genetic programming
hyper heuristic has been successfully used to
automatically evolve routing policies, which can make
real-time routing decisions for uncertain capacitated
arc routing problems. It is desired to evolve routing
policies that are both effective and small/simple to be
easily understood. The effectiveness and size are two
potentially conflicting objectives. A further challenge
is the objective selection bias issue, i.e., it is much
more likely to obtain small but ineffective routing
policies than the effective ones that are typically
large. In this paper, we propose a new multi-objective
genetic programming algorithm to evolve effective and
small routing policies. The new algorithm employs the a
dominance strategy with a newly proposed α adaptation
scheme to address the objective selection bias issue.
In addition, it cont",
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notes = "also known as \cite{9845191}",
- }
Genetic Programming entries for
Shaolin Wang
Yi Mei
Mengjie Zhang
Citations