Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Oluwatayomi Rereloluwa Adegboye"'
Autor:
Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Opeoluwa Seun Ojekemi, Ephraim Bonah Agyekum, Abdelazim G. Hussien, Salah Kamel
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-41 (2024)
Abstract The effective meta-heuristic technique known as the grey wolf optimizer (GWO) has shown its proficiency. However, due to its reliance on the alpha wolf for guiding the position updates of search agents, the risk of being trapped in a local o
Externí odkaz:
https://doaj.org/article/04590dfcde444fdf9ee698a3a8fddd62
Autor:
Oluwatayomi Rereloluwa Adegboye, Ezgi Deniz Ülker, Afi Kekeli Feda, Ephraim Bonah Agyekum, Wulfran Fendzi Mbasso, Salah Kamel
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e31850- (2024)
This study introduces the Worst Moth Disruption Strategy (WMFO) to enhance the Moth Fly Optimization (MFO) algorithm, specifically addressing challenges related to population stagnation and low diversity. The WMFO aims to prevent local trapping of mo
Externí odkaz:
https://doaj.org/article/5006644b553747888a4f84e538e65812
Autor:
Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Ephraim Bonah Agyekum, Wulfran Fendzi Mbasso, Salah Kamel
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e31766- (2024)
This research presents the utilization of an enhanced Sine cosine perturbation with Chaotic perturbation and Mirror imaging strategy-based Salp Swarm Algorithm (SCMSSA), which incorporates three improvement mechanisms, to enhance the convergence accu
Externí odkaz:
https://doaj.org/article/a759b7dc9adc47da8d624414ba803335
Autor:
Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Opeoluwa Seun Ojekemi, Ephraim Bonah Agyekum, Ehab E. Elattar, Salah Kamel
Publikováno v:
IEEE Access, Vol 12, Pp 103271-103298 (2024)
A recently created optimization algorithm named the Dynamic Hunting Leadership (DHL) algorithm was inspired by the leadership tactics used in hunting operations. The foundation of DHL is the idea that successful leadership can significantly increase
Externí odkaz:
https://doaj.org/article/2829bd84f5424375a147c575c3ee751f
Autor:
Afi Kekeli Feda, Oluwatayomi Rereloluwa Adegboye, Ephraim Bonah Agyekum, Abdurrahman Shuaibu Hassan, Salah Kamel
Publikováno v:
IEEE Access, Vol 12, Pp 60310-60328 (2024)
This research introduces a novel optimization algorithm, weIghted meaN oF vectOrs (INFO), integrated with the Extreme Learning Machine (ELM) to enhance the predictive capabilities of the model for carbon dioxide (CO2) emissions. INFO optimizes ELM’
Externí odkaz:
https://doaj.org/article/667e5eead61f4a7383d28a4c3fa189b9
Autor:
Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Oluwaseun Racheal Ojekemi, Ephraim Bonah Agyekum, Baseem Khan, Salah Kamel
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-28 (2024)
Abstract This paper introduces DGS-SCSO, a novel optimizer derived from Sand Cat Swarm Optimization (SCSO), aiming to overcome inherent limitations in the original SCSO algorithm. The proposed optimizer integrates Dynamic Pinhole Imaging and Golden S
Externí odkaz:
https://doaj.org/article/0f14638396f746b3badc3467d19ff3c2
Autor:
Meshack Magaji Ishaya, Oluwatayomi Rereloluwa Adegboye, Ephraim Bonah Agyekum, Mohamed F. Elnaggar, Mohammed M. Alrashed, Salah Kamel
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Numerous integrals of the fundamental frequency are known as harmonics and can be found in power systems or electrical circuitry systems. Non-linear loads occasionally drain current or contains a varying impedance with each period of the AC
Externí odkaz:
https://doaj.org/article/6e6dd06050cb4247b442d329cb6ecf59
Autor:
Afi Kekeli Feda, Moyosore Adegboye, Oluwatayomi Rereloluwa Adegboye, Ephraim Bonah Agyekum, Wulfran Fendzi Mbasso, Salah Kamel
Publikováno v:
Heliyon, Vol 10, Iss 2, Pp e24192- (2024)
The FOX algorithm is a recently developed metaheuristic approach inspired by the behavior of foxes in their natural habitat. While the FOX algorithm exhibits commendable performance, its basic version, in complex problem scenarios, may become trapped
Externí odkaz:
https://doaj.org/article/0d357e915876459f83c1c44aaa0a22f4
Autor:
Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Meshack Magaji Ishaya, Ephraim Bonah Agyekum, Ki-Chai Kim, Wulfran Fendzi Mbasso, Salah Kamel
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e21596- (2023)
This work proposed a new method to optimize the antenna S-parameter using a Golden Sine mechanism-based Honey Badger Algorithm that employs Tent chaos (GST-HBA). The Honey Badger Algorithm (HBA) is a promising optimization method that similar to othe
Externí odkaz:
https://doaj.org/article/35f18a17627e4c258d73eb7c7793545e
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-27 (2023)
Abstract Due to its low dependency on the control parameters and straightforward operations, the Artificial Electric Field Algorithm (AEFA) has drawn much interest; yet, it still has slow convergence and low solution precision. In this research, a hy
Externí odkaz:
https://doaj.org/article/6c0047f913e84651a04a85a6fc305d64