Selective opposition based constrained barnacle mating optimization: Theory and applications
Mathematical models of Barnacle Mating Optimization (BMO) are based on observations of real-world barnacle mating behaviors such as sperm casting and self-fertilization. Nevertheless, BMO considers penis length to produce new offspring through pseudo-copulated mating behavior, with no constraints li...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier B.V.
2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/42981/ http://umpir.ump.edu.my/id/eprint/42981/1/Selective%20opposition%20based%20constrained%20barnacle%20mating%20optimization.pdf |
| _version_ | 1848826749590175744 |
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| author | Ahmed, Marzia Mohd Herwan, Sulaiman Hassan, Md. Maruf Rahaman, Md. Atikur Abdullah, Masuk |
| author_facet | Ahmed, Marzia Mohd Herwan, Sulaiman Hassan, Md. Maruf Rahaman, Md. Atikur Abdullah, Masuk |
| author_sort | Ahmed, Marzia |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Mathematical models of Barnacle Mating Optimization (BMO) are based on observations of real-world barnacle mating behaviors such as sperm casting and self-fertilization. Nevertheless, BMO considers penis length to produce new offspring through pseudo-copulated mating behavior, with no constraints like strong wave motion, food availability, or wind direction considered. Exploration and exploitation are two crucial optimization stages as we implement the constrained BMO. They are informed by models of navigational sperm casting properties, food availability, food attractiveness, wind direction, and intertidal zone wave movement experienced by barnacles during mating. We will later integrate opposition-based learning (OBL) with constrained BMO (C-BMO) to improve its exploratory behavior while retaining a quick convergence rate. Rather than opposing all barnacle dimensions, we just opposed those that went over the border. In addition to increasing efficiency by cutting down on wasted time spent exploring, this also increases the likelihood of stumbling onto optimal solutions. After that, it is put through its paces in a real-world case study, where it proves to be superior to the most cutting-edge algorithms available. |
| first_indexed | 2025-11-15T03:49:46Z |
| format | Article |
| id | ump-42981 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:49:46Z |
| publishDate | 2024 |
| publisher | Elsevier B.V. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-429812024-12-02T03:14:00Z http://umpir.ump.edu.my/id/eprint/42981/ Selective opposition based constrained barnacle mating optimization: Theory and applications Ahmed, Marzia Mohd Herwan, Sulaiman Hassan, Md. Maruf Rahaman, Md. Atikur Abdullah, Masuk TK Electrical engineering. Electronics Nuclear engineering Mathematical models of Barnacle Mating Optimization (BMO) are based on observations of real-world barnacle mating behaviors such as sperm casting and self-fertilization. Nevertheless, BMO considers penis length to produce new offspring through pseudo-copulated mating behavior, with no constraints like strong wave motion, food availability, or wind direction considered. Exploration and exploitation are two crucial optimization stages as we implement the constrained BMO. They are informed by models of navigational sperm casting properties, food availability, food attractiveness, wind direction, and intertidal zone wave movement experienced by barnacles during mating. We will later integrate opposition-based learning (OBL) with constrained BMO (C-BMO) to improve its exploratory behavior while retaining a quick convergence rate. Rather than opposing all barnacle dimensions, we just opposed those that went over the border. In addition to increasing efficiency by cutting down on wasted time spent exploring, this also increases the likelihood of stumbling onto optimal solutions. After that, it is put through its paces in a real-world case study, where it proves to be superior to the most cutting-edge algorithms available. Elsevier B.V. 2024-12 Article PeerReviewed pdf en cc_by_nc_nd_4 http://umpir.ump.edu.my/id/eprint/42981/1/Selective%20opposition%20based%20constrained%20barnacle%20mating%20optimization.pdf Ahmed, Marzia and Mohd Herwan, Sulaiman and Hassan, Md. Maruf and Rahaman, Md. Atikur and Abdullah, Masuk (2024) Selective opposition based constrained barnacle mating optimization: Theory and applications. Results in Control and Optimization, 17 (100487). pp. 1-11. ISSN 2666-7207. (Published) https://doi.org/10.1016/j.rico.2024.100487 https://doi.org/10.1016/j.rico.2024.100487 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Ahmed, Marzia Mohd Herwan, Sulaiman Hassan, Md. Maruf Rahaman, Md. Atikur Abdullah, Masuk Selective opposition based constrained barnacle mating optimization: Theory and applications |
| title | Selective opposition based constrained barnacle mating optimization: Theory and applications |
| title_full | Selective opposition based constrained barnacle mating optimization: Theory and applications |
| title_fullStr | Selective opposition based constrained barnacle mating optimization: Theory and applications |
| title_full_unstemmed | Selective opposition based constrained barnacle mating optimization: Theory and applications |
| title_short | Selective opposition based constrained barnacle mating optimization: Theory and applications |
| title_sort | selective opposition based constrained barnacle mating optimization: theory and applications |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/42981/ http://umpir.ump.edu.my/id/eprint/42981/ http://umpir.ump.edu.my/id/eprint/42981/ http://umpir.ump.edu.my/id/eprint/42981/1/Selective%20opposition%20based%20constrained%20barnacle%20mating%20optimization.pdf |