Evaluating Geometric Characteristics of Planar Surfaces using Improved Particle Swarm Optimization Article Swipe
YOU?
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· 2017
· Open Access
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· DOI: https://doi.org/10.1515/msr-2017-0022
This paper presents a modified particle swarm optimization (MPSO) algorithm for the evaluation of geometric characteristics defining form and function of planar surfaces. The geometric features of planar surfaces are decomposed into four components; namely straightness, flatness, perpendicularity, and parallelism. A non-linear minimum zone objective function is formulated mathematically for each planar surface geometric characteristic. Finally, the result of the proposed method is compared with previous work on the same problem and with other nature inspired algorithms. The results demonstrate that the proposed MPSO algorithm is more efficient and accurate in comparison to other algorithms and is well suited for effective and accurate evaluation of planar surface characteristics.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1515/msr-2017-0022
- OA Status
- gold
- Cited By
- 14
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2755421906
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2755421906Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1515/msr-2017-0022Digital Object Identifier
- Title
-
Evaluating Geometric Characteristics of Planar Surfaces using Improved Particle Swarm OptimizationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-08-01Full publication date if available
- Authors
-
Vimal Kumar Pathak, Sagar Kumar, Chitresh Nayak, NRNV Gowripathi RaoList of authors in order
- Landing page
-
https://doi.org/10.1515/msr-2017-0022Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1515/msr-2017-0022Direct OA link when available
- Concepts
-
Planar, Flatness (cosmology), Particle swarm optimization, Surface (topology), Algorithm, Mathematical optimization, Mathematics, Function (biology), Multi-swarm optimization, Computer science, Geometry, Physics, Evolutionary biology, Cosmology, Biology, Computer graphics (images), Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
14Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2023: 1, 2022: 1, 2021: 4, 2020: 1Per-year citation counts (last 5 years)
- References (count)
-
31Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.flatness, | 37 |
| abstract_inverted_index.geometric | 15, 25, 54 |
| abstract_inverted_index.objective | 45 |
| abstract_inverted_index.surfaces. | 23 |
| abstract_inverted_index.algorithms | 95 |
| abstract_inverted_index.comparison | 92 |
| abstract_inverted_index.decomposed | 31 |
| abstract_inverted_index.evaluation | 13, 104 |
| abstract_inverted_index.formulated | 48 |
| abstract_inverted_index.non-linear | 42 |
| abstract_inverted_index.algorithms. | 77 |
| abstract_inverted_index.components; | 34 |
| abstract_inverted_index.demonstrate | 80 |
| abstract_inverted_index.optimization | 8 |
| abstract_inverted_index.parallelism. | 40 |
| abstract_inverted_index.straightness, | 36 |
| abstract_inverted_index.mathematically | 49 |
| abstract_inverted_index.characteristic. | 55 |
| abstract_inverted_index.characteristics | 16 |
| abstract_inverted_index.characteristics. | 108 |
| abstract_inverted_index.perpendicularity, | 38 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.5 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.87131164 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |