Visual analysis of differential evolution algorithms
In this article a web tool which contributes to the visual analysis of the Differential Evolution (DE) algorithms is presented. The tool provides a graphic interface with 8 views that allows understanding the underlying process of the algorithm. The tool has a library which extracts data from DE...
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| 其他作者: | , , , , |
| 格式: | Capítulo de libro |
| 语言: | English |
| 出版: |
Springer Nature Switzerland AG
2019
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| 主题: | |
| 在线阅读: | https://doi.org/10.1007/978-3-319-98678-4 https://doi.org/10.1007/978-3-319-98678-4_52 |
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| 总结: | In this article a web tool which contributes to the visual analysis of
the Differential Evolution (DE) algorithms is presented. The tool provides a
graphic interface with 8 views that allows understanding the underlying process
of the algorithm. The tool has a library which extracts data from DE algorithms
and its main feature is that the functions of the library can be embedded in the
code of any DE algorithm to be analyzed. To validate the tool, three DE algorithms:
DE/Rand/1/bin, DE/best/1/bin, and JADE and three test functions:
Sphere, Rosenbrock, and Rastrigin have been used, which produced a total of 234
different tests, all of them performed successfully. The tool can allow to experts
to analyze algorithms, particularly DE algorithms, and it can contribute to
improve such algorithms or in generating new strategies that can emerge from
the analysis of the extracted information. |
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