Cover Image

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Ahmed, Marzia, Mohd Herwan, Sulaiman, Hassan, Md. Maruf, Rahaman, Md. Atikur, Abdullah, Masuk
Format: Article
Language:English
Published: Elsevier B.V. 2024
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/42981/1/Selective%20opposition%20based%20constrained%20barnacle%20mating%20optimization.pdf
http://umpir.ump.edu.my/id/eprint/42981/
https://doi.org/10.1016/j.rico.2024.100487
https://doi.org/10.1016/j.rico.2024.100487
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.42981
record_format eprints
spelling my.ump.umpir.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
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
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
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.
format Article
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
title Selective opposition based constrained barnacle mating optimization: Theory and applications
title_short 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_sort selective opposition based constrained barnacle mating optimization: theory and applications
publisher Elsevier B.V.
publishDate 2024
url http://umpir.ump.edu.my/id/eprint/42981/1/Selective%20opposition%20based%20constrained%20barnacle%20mating%20optimization.pdf
http://umpir.ump.edu.my/id/eprint/42981/
https://doi.org/10.1016/j.rico.2024.100487
https://doi.org/10.1016/j.rico.2024.100487
_version_ 1822924769668890624
score 13.232414

Similar Items