Multimodal genetic programming by using tree structure similarity clustering
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- @InProceedings{Yoshida:2017:IWCIA,
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author = "Shubu Yoshida and Tomohiro Harada and Ruck Thawonmas",
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booktitle = "2017 IEEE 10th International Workshop on Computational
Intelligence and Applications (IWCIA)",
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title = "Multimodal genetic programming by using tree structure
similarity clustering",
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year = "2017",
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pages = "85--90",
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abstract = "This paper proposes a multimodal genetic programming
(GP) that incorporates a clustering of a population
based on the tree structure similarity into GP and
simultaneously acquires multiple local optimal
solutions including a global optimal solution. The
multimodal optimisation problem aims to acquire not
only a global optimal solution but also multiple local
optimal solutions in a single optimisation process. In
general, although continuous real-valued optimisations
are mainly targeted for multimodal optimisation
problems, problems with other solution structures, like
a program in GP, have not been dealt with. This paper
designs a multimodal program optimisation problem that
has a global and a local optimal solution and proposes
a multimodal GP to acquires multiple local optimal
programs including a global optimal one. Concretely,
the proposed method separates the population into
several clusters based on the similarity of tree
structure, which is used as program expression in GP.
Then, local optimum programs with different structure
are acquired by optimising each cluster separately. In
order to investigate the effectiveness of the proposed
method, we compare the proposed method with a simple GP
without clustering on the designed multimodal GP
benchmark. The experimental result reveals that the
proposed method can acquire both the global and the
local optimal programs at the same time.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/IWCIA.2017.8203566",
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month = nov,
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notes = "Also known as \cite{8203566}",
- }
Genetic Programming entries for
Shubu Yoshida
Tomohiro Harada
Ruck Thawonmas
Citations