A Study on Multimodal Genetic Programming Introducing Program Simplification
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- @InProceedings{Murano:2018:ISIS,
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author = "Kei Murano and Shubu Yoshida and Tomohiro Harada and
Ruck Thawonmas",
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booktitle = "2018 Joint 10th International Conference on Soft
Computing and Intelligent Systems (SCIS) and 19th
International Symposium on Advanced Intelligent Systems
(ISIS)",
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title = "A Study on Multimodal Genetic Programming Introducing
Program Simplification",
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year = "2018",
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pages = "109--114",
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abstract = "In this research, we introduce a program
simplification method into Multimodal Genetic
Programming (MMGP) and investigate its effectiveness on
multimodal program optimization benchmark. In recent
years, multimodal optimization that simultaneously
acquires a global and multiple local optimum solutions
is studied in evolutionary algorithms (EAs). MMGP we
proposed is an extension of genetic programming to
multimodal optimization that simultaneously acquires a
global and local optimum programs in a single run.
However, since MMGP divides the solution set to several
clusters depending on a tree similarity measurement,
some programs cannot be assigned to appropriate cluster
when a redundant subtree is generated in the
optimization process. To overcome this problem, this
research introduces a simplification method of a
program into MMGP to remove redundant subtrees and
appropriately calculate similarity of programs. The
experiment that compares MMGP with and without the
simplification method is conducted. The experimental
result reveals that the simplification does not
significantly improve the search ability of MMGP
because the simplification does not much affect the
optimization process of MMGP on the benchmark problem
used in this research.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/SCIS-ISIS.2018.00029",
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month = dec,
-
notes = "Also known as \cite{8716131}",
- }
Genetic Programming entries for
Kei Murano
Shubu Yoshida
Tomohiro Harada
Ruck Thawonmas
Citations