Distributed Grey Wolf Optimizer for scheduling of workflow applications in cloud environments
BH Abed-Alguni, NA Alawad - Applied Soft Computing, 2021 - Elsevier
Optimal scheduling of workflows in cloud computing environments is an essential element to
maximize the utilization of Virtual Machines (VMs). In practice, scheduling of dependent …
maximize the utilization of Virtual Machines (VMs). In practice, scheduling of dependent …
Island-based Cuckoo Search with elite opposition-based learning and multiple mutation methods for solving optimization problems
BH Abed-alguni, D Paul - Soft Computing, 2022 - Springer
Abstract The island Cuckoo Search (i CSPM) algorithm is a variation of Cuckoo Search that
uses the island model and highly disruptive polynomial mutation to solve optimization …
uses the island model and highly disruptive polynomial mutation to solve optimization …
Social recommender systems
The goal of this tutorial is to expose participants to the current research on social
recommender systems (ie, recommender systems for the social web). Participants will …
recommender systems (ie, recommender systems for the social web). Participants will …
Discrete island-based cuckoo search with highly disruptive polynomial mutation and opposition-based learning strategy for scheduling of workflow applications in …
NA Alawad, BH Abed-alguni - Arabian Journal for Science and …, 2021 - Springer
The optimization-based scheduling algorithms used for scheduling workflows in cloud
computing environments may easily get trapped in local optima, especially in the beginning …
computing environments may easily get trapped in local optima, especially in the beginning …
Improved Salp swarm algorithm for solving single-objective continuous optimization problems
Abstract The Salp Swarm Algorithm (SSA) is an effective single-objective optimization
algorithm that was inspired by the navigating and foraging behaviors of salps in their natural …
algorithm that was inspired by the navigating and foraging behaviors of salps in their natural …
Discrete Jaya with refraction learning and three mutation methods for the permutation flow shop scheduling problem
NA Alawad, BH Abed-alguni - The Journal of Supercomputing, 2022 - Springer
Abstract The Permutation Flow Shop Scheduling Problem (PFSSP) is an interesting
scheduling problem that has many real-world applications. It has been widely used as a …
scheduling problem that has many real-world applications. It has been widely used as a …
A literature review for recommender systems techniques used in microblogs
L Terán, AO Mensah, A Estorelli - Expert Systems with Applications, 2018 - Elsevier
Online social networks (OSNs) are receiving great attention from the research community for
different purposes, such as event detection, crisis management, and forecasting, among …
different purposes, such as event detection, crisis management, and forecasting, among …
Microblogs data management: a survey
A Magdy, L Abdelhafeez, Y Kang, E Ong, MF Mokbel - The VLDB Journal, 2020 - Springer
Microblogs data is the microlength user-generated data that is posted on the web, eg,
tweets, online reviews, comments on news and social media. It has gained considerable …
tweets, online reviews, comments on news and social media. It has gained considerable …
Microblog conversation recommendation via joint modeling of topics and discourse
Millions of conversations are generated every day on social media platforms. With limited
attention, it is challenging for users to select which discussions they would like to participate …
attention, it is challenging for users to select which discussions they would like to participate …
[HTML][HTML] Directional user similarity model for personalized recommendation in online social networks
AB Suhaim, J Berri - Journal of King Saud University-Computer and …, 2022 - Elsevier
With the huge amount of information available in online social networks and the increasing
spread of user generated data in different forms, personal recommendation systems …
spread of user generated data in different forms, personal recommendation systems …