Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Sharif Naser Makhadmeh"'
Autor:
Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar, Feras Al-Obeidat, Osama Ahmad Alomari, Ammar Kamal Abasi, Mohammad Tubishat, Zenab Elgamal, Waleed Alomoush
Publikováno v:
Sustainable Operations and Computers, Vol 5, Iss , Pp 88-101 (2024)
This paper presents the energy planning problem (EPP) as an optimization problem to find the optimal schedules to minimize energy consumption costs and demand and enhance users’ comfort levels. The grey wolf optimizer (GWO), One of the most powerfu
Externí odkaz:
https://doaj.org/article/61566f2eb3a34a4f9667cc3eba59cf9e
Autor:
Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar, Iyad Abu Doush, Mohammed A. Awadallah, Sofian Kassaymeh, Seyedali Mirjalili, Raed Abu Zitar
Publikováno v:
IEEE Access, Vol 12, Pp 22991-23028 (2024)
The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO’s appeal lies in its remarkable characteristics: it is parameter-free, derivative-
Externí odkaz:
https://doaj.org/article/925626c3fb5e4e77a3c274ff806dd3ba
Autor:
Hussam N. Fakhouri, Ahmad Sami Al-Shamayleh, Abdelraouf Ishtaiwi, Sharif Naser Makhadmeh, Sandi N. Fakhouri, Faten Hamad
Publikováno v:
Algorithms, Vol 17, Iss 9, p 417 (2024)
Complex and nonlinear optimization challenges pose significant difficulties for traditional optimizers, which often struggle to consistently locate the global optimum within intricate problem spaces. To address these challenges, the development of hy
Externí odkaz:
https://doaj.org/article/f61d051fccdf4ad38c4210ba523868fb
Autor:
Mohammed Azmi Al-Betar, Zaid Abdi Alkareem Alyasseri, Noor Kamal Al-Qazzaz, Sharif Naser Makhadmeh, Nabeel Salih Ali, Christoph Guger
Publikováno v:
Algorithms, Vol 17, Iss 8, p 346 (2024)
Stroke is a major cause of mortality worldwide, disrupts cerebral blood flow, leading to severe brain damage. Hemiplegia, a common consequence, results in motor task loss on one side of the body. Many stroke survivors face long-term motor impairments
Externí odkaz:
https://doaj.org/article/6c14d24718ac4e6f843998dfc57243f2
Autor:
Hussam N. Fakhouri, Abdelraouf Ishtaiwi, Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar, Mohannad Alkhalaileh
Publikováno v:
Symmetry, Vol 16, Iss 7, p 927 (2024)
This study presents the Hybrid COASaDE Optimizer, a novel combination of the Crayfish Optimization Algorithm (COA) and Self-adaptive Differential Evolution (SaDE), designed to address complex optimization challenges and solve engineering design probl
Externí odkaz:
https://doaj.org/article/d8cdd6ffc26243f6b2c3adaea26899a6
Autor:
Waleed Alomoush, Osama A. Khashan, Ayat Alrosan, Hani H. Attar, Ammar Almomani, Fuad Alhosban, Sharif Naser Makhadmeh
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-17 (2023)
Abstract The proportion of multimedia traffic in data networks has grown substantially as a result of advancements in IT. As a result, it's become necessary to address the following challenges in protecting multimedia data: prevention of unauthorized
Externí odkaz:
https://doaj.org/article/5b95fc9cd2a844ce9414b37c0e7a2246
Autor:
Hasan Gharaibeh, Noor Aldeen Alawad, Ahmad Nasayreh, Rabia Emhamed Al Mamlook, Sharif Naser Makhadmeh, Ayah Bashkami, Qais Al-Na'amneh, Laith Abualigah, Absalom E. Ezugwu
Publikováno v:
Informatics in Medicine Unlocked, Vol 50, Iss , Pp 101581- (2024)
Bladder cancer (BC) remains a significant global health challenge, requiring the development of accurate predictive models for diagnosis. In this study, a new Binary Modified White Whale Optimization (B-MBWO) algorithm is proposed to address the BC p
Externí odkaz:
https://doaj.org/article/ca3f0ebbe843455a8e4e01526d7fc07f
Autor:
Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Sharif Naser Makhadmeh, Iyad Abu Doush, Raed Abu Zitar, Samah Alshathri, Mohamed Abd Elaziz
Publikováno v:
Alexandria Engineering Journal, Vol 64, Iss , Pp 365-389 (2023)
This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an important problem in power systems that is tackled by finding the optimal sc
Externí odkaz:
https://doaj.org/article/64054ac8e01e49efb3960e8cf5153bf3
Autor:
Mohammed Azmi Al-Betar, Ammar Kamal Abasi, Ghazi Al-Naymat, Kamran Arshad, Sharif Naser Makhadmeh
Publikováno v:
IEEE Access, Vol 11, Pp 100010-100028 (2023)
Text Document Clustering (TDC) is a challenging optimization problem in unsupervised machine learning and text mining. The Salp Swarm Algorithm (SSA) has been found to be effective in solving complex optimization problems. However, the SSA’s exploi
Externí odkaz:
https://doaj.org/article/87edc9c2d4904fa7b28496c77d7f17d5
Autor:
Zaid Abdi Alkareem Alyasseri, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Sharif Naser Makhadmeh, Ammar Kamal Abasi, Iyad Abu Doush, Osama Ahmad Alomari
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 4821-4835 (2022)
In this paper, the β-hill climbing optimizer is hybridized with the flower pollination algorithm (FPA) as a local refinement operator for global optimization problems. The proposed method is called HyFPAβ-hc. Such hybridization aims to enhance the
Externí odkaz:
https://doaj.org/article/2979e956933e4300824751d513bdd650