Snail Homing and Mating Search Algorithm: A Novel Bio-Inspired Metaheuristic Algorithm Article Swipe
Anand J. Kulkarni
,
Ishaan R. Kale
,
Apoorva Shastri
,
Aayush P. Khandekar
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-3592690/v1
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-3592690/v1
In this paper, a novel Snail Homing and Mating Search (SHMS) algorithm is proposed. It is inspired from the biological behaviour of the snails. Snails continuously travels to find food and a mate, leaving behind a trail of mucus that serves as a guide for their return. Snails tend to navigate by following the available trails on the ground and responding to cues from nearby shelter homes. The proposed SHMS algorithm is investigated by solving several unimodal and multimodal functions. The solutions are validated using standard statistical tests such as two-sided and pairwise signed rank Wilcoxon test and Friedman rank test. The solution obtained from the SHMS algorithm exhibited superior robustness as well as search space exploration capabilities within the less computational cost. The real-world application of SHMS algorithm is successfully demonstrated in the engineering design domain by solving three cases of design and economic optimization shell and tube heat exchanger problem. The objective function value and other statistical results obtained using SHMS algorithm are compared with other well-known metaheuristic algorithms.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-3592690/v1
- https://www.researchsquare.com/article/rs-3592690/latest.pdf
- OA Status
- gold
- Cited By
- 2
- References
- 70
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391538613
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391538613Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21203/rs.3.rs-3592690/v1Digital Object Identifier
- Title
-
Snail Homing and Mating Search Algorithm: A Novel Bio-Inspired Metaheuristic AlgorithmWork title
- Type
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preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-05Full publication date if available
- Authors
-
Anand J. Kulkarni, Ishaan R. Kale, Apoorva Shastri, Aayush P. KhandekarList of authors in order
- Landing page
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https://doi.org/10.21203/rs.3.rs-3592690/v1Publisher landing page
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https://www.researchsquare.com/article/rs-3592690/latest.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.researchsquare.com/article/rs-3592690/latest.pdfDirect OA link when available
- Concepts
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Algorithm, Metaheuristic, Mating, Computer science, Snail, Search algorithm, Artificial intelligence, Biology, Zoology, EcologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2Per-year citation counts (last 5 years)
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70Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.within | 119 |
| abstract_inverted_index.leaving | 34 |
| abstract_inverted_index.results | 160 |
| abstract_inverted_index.return. | 47 |
| abstract_inverted_index.several | 76 |
| abstract_inverted_index.shelter | 66 |
| abstract_inverted_index.snails. | 24 |
| abstract_inverted_index.solving | 75, 139 |
| abstract_inverted_index.travels | 27 |
| abstract_inverted_index.Friedman | 99 |
| abstract_inverted_index.Wilcoxon | 96 |
| abstract_inverted_index.compared | 166 |
| abstract_inverted_index.economic | 145 |
| abstract_inverted_index.function | 155 |
| abstract_inverted_index.inspired | 17 |
| abstract_inverted_index.navigate | 51 |
| abstract_inverted_index.obtained | 104, 161 |
| abstract_inverted_index.pairwise | 93 |
| abstract_inverted_index.problem. | 152 |
| abstract_inverted_index.proposed | 69 |
| abstract_inverted_index.solution | 103 |
| abstract_inverted_index.standard | 86 |
| abstract_inverted_index.superior | 110 |
| abstract_inverted_index.unimodal | 77 |
| abstract_inverted_index.algorithm | 12, 71, 108, 129, 164 |
| abstract_inverted_index.available | 55 |
| abstract_inverted_index.behaviour | 21 |
| abstract_inverted_index.exchanger | 151 |
| abstract_inverted_index.exhibited | 109 |
| abstract_inverted_index.following | 53 |
| abstract_inverted_index.objective | 154 |
| abstract_inverted_index.proposed. | 14 |
| abstract_inverted_index.solutions | 82 |
| abstract_inverted_index.two-sided | 91 |
| abstract_inverted_index.validated | 84 |
| abstract_inverted_index.biological | 20 |
| abstract_inverted_index.functions. | 80 |
| abstract_inverted_index.multimodal | 79 |
| abstract_inverted_index.real-world | 125 |
| abstract_inverted_index.responding | 61 |
| abstract_inverted_index.robustness | 111 |
| abstract_inverted_index.well-known | 169 |
| abstract_inverted_index.algorithms. | 171 |
| abstract_inverted_index.application | 126 |
| abstract_inverted_index.engineering | 135 |
| abstract_inverted_index.exploration | 117 |
| abstract_inverted_index.statistical | 87, 159 |
| abstract_inverted_index.capabilities | 118 |
| abstract_inverted_index.continuously | 26 |
| abstract_inverted_index.demonstrated | 132 |
| abstract_inverted_index.investigated | 73 |
| abstract_inverted_index.optimization | 146 |
| abstract_inverted_index.successfully | 131 |
| abstract_inverted_index.computational | 122 |
| abstract_inverted_index.metaheuristic | 170 |
| abstract_inverted_index.<title>Abstract</title> | 0 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.76434195 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |