Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Mohammad Gh. AlFailakawi"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 7, Pp 3934-3947 (2022)
Containers have emerged as the most promising lightweight virtualization technology in providing cloud services due to its flexible deployment, portability, and scalability especially in micro-services, smart vehicles, IoTs, and fog/edge computing. A
Externí odkaz:
https://doaj.org/article/a86b491242b640f496f719ab6da6fb1a
Publikováno v:
IEEE Access, Vol 9, Pp 77188-77202 (2021)
The Sine Cosine Algorithm (SCA) has experienced wide spread use in solving optimization problems in many disciplines mainly due to its simplicity and efficiency. However, like many other meta-heuristics, SCA requires considerable amount of compute ti
Externí odkaz:
https://doaj.org/article/3aa3d7f7ccfd4665bb67d33628826b3e
Publikováno v:
IEEE Access, Vol 9, Pp 25258-25277 (2021)
Sine Cosine Algorithm (SCA) is a newly proposed competent population-based metaheuristic, which has gained a multi-disciplinary interest in solving optimization problems. Like other metaheuristics, the performance of SCA is sensitive to the settings
Externí odkaz:
https://doaj.org/article/68f03ecd5d09475ba657125e19bc35d2
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:3934-3947
Containers have emerged as the most promising lightweight virtualization technology in providing cloud services due to its flexible deployment, portability, and scalability especially in micro-services, smart vehicles, IoTs, and fog/edge computing. A
Publikováno v:
Neural Computing and Applications. 34:11163-11175
In this paper, an adaptive Fluctuant Population size Slime Mould Algorithm (FP-SMA) is proposed. Unlike the original SMA where population size is fixed in every epoch, FP-SMA will adaptively change population size in order to effectively balance expl
Publikováno v:
IEEE Access, Vol 9, Pp 77188-77202 (2021)
The Sine Cosine Algorithm (SCA) has experienced wide spread use in solving optimization problems in many disciplines mainly due to its simplicity and efficiency. However, like many other meta-heuristics, SCA requires considerable amount of compute ti
Publikováno v:
Cluster Computing. 23:2021-2034
Population-based meta-heuristic algorithms are among the dominant algorithms used to solve challenging real world problems in diverse fields. Whale Optimization Algorithm (WOA) is a recent swarm intelligence meta-heuristic algorithm based on the bubb
Publikováno v:
Neural Computing and Applications. 32:9745-9760
Containers are shaping the new era of cloud applications due to their key benefits such as lightweight, very quick to launch, consuming minimum resources to run an application which reduces cost, and can be easily and rapidly scaled up/down as per wo
Publikováno v:
IET Computers & Digital Techniques. 13:28-37
Cuckoo search (CS) is a recent swarm intelligence-based meta-heuristic optimisation algorithm that has shown excellent results for a broad class of optimisation problems in diverse fields. However, CS is generally compute intensive and slow when impl
Publikováno v:
IET Computers & Digital Techniques. 11:214-220
Shifting market trends towards mobile, Internet of things, and data-centric applications create opportunities for emerging low-power non-volatile memories. The attractive features of spin-torque-transfer magnetic-RAM (STT-MRAM) make it a promising ca