Visualisation of the combinatorial effects within evolutionary algorithms: the compass plot Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.2166/hydro.2020.073
Applications of evolutionary algorithms (EAs) to real-world problems are usually hindered due to parameterisation issues and computational efficiency. This paper shows how the combinatorial effects related to the parameterisation issues of EAs can be visualised and extracted by the so-called compass plot. This new plot is inspired by the traditional Chinese compass used for navigation and geomantic detection. We demonstrate the value of the proposed compass plot in two scenarios with application to the optimal design of the Hanoi water distribution system. One is to identify the dominant parameters in the well-known NSGA-II. The other is to seek the efficient combinations of search operators embedded in Borg, which uses an ensemble of search operators by auto-adapting their use at runtime to fit an optimisation problem. As such, the implicit and vital interdependency among parameters and search operators can be intuitively demonstrated and identified. In particular, the compass plot revealed some counter-intuitive relationships among the algorithm parameters that led to a considerable change in performance. The information extracted, in turn, facilitates a deeper understanding of EAs and better practices for real-world cases, which eventually leads to more cost-effective decision-making.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2166/hydro.2020.073
- https://iwaponline.com/jh/article-pdf/23/3/517/892738/jh0230517.pdf
- OA Status
- hybrid
- Cited By
- 3
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3102799061
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3102799061Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2166/hydro.2020.073Digital Object Identifier
- Title
-
Visualisation of the combinatorial effects within evolutionary algorithms: the compass plotWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-11-10Full publication date if available
- Authors
-
Qi Wang, Miaoting Guan, Wen Huang, Libing Wang, Zhihong Wang, Shuming Liu, Dragan SavićList of authors in order
- Landing page
-
https://doi.org/10.2166/hydro.2020.073Publisher landing page
- PDF URL
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https://iwaponline.com/jh/article-pdf/23/3/517/892738/jh0230517.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://iwaponline.com/jh/article-pdf/23/3/517/892738/jh0230517.pdfDirect OA link when available
- Concepts
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Compass, Plot (graphics), Computer science, Interdependence, Algorithm, Evolutionary algorithm, Visualization, Data mining, Artificial intelligence, Mathematical optimization, Mathematics, Statistics, Geography, Cartography, Political science, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2023: 1, 2021: 1Per-year citation counts (last 5 years)
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41Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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