A survey on sparrow search algorithms and their applications
J Xue, B Shen - International Journal of Systems Science, 2024 - Taylor & Francis
The sparrow search algorithm (SSA) is an efficient swarm-intelligence-based algorithm that
has made some significant advances since its introduction in 2020. A detailed overview of …
has made some significant advances since its introduction in 2020. A detailed overview of …
Micro energy harvesting for IoT platform: Review analysis toward future research opportunities
Micro-energy harvesting (MEH) is a technology of renewable power generation which is a
key technology for hosting the future low-powered electronic devices for wireless sensor …
key technology for hosting the future low-powered electronic devices for wireless sensor …
Enhancement in performance of cloud computing task scheduling using optimization strategies
Providing scalable and affordable computing resources has become possible thanks to the
development of the cloud computing concept. In cloud environments, efficient task …
development of the cloud computing concept. In cloud environments, efficient task …
Fault tolerant trust based task scheduler using Harris Hawks optimization and deep reinforcement learning in multi cloud environment
Cloud Computing model provides on demand delivery of seamless services to customers
around the world yet single point of failures occurs in cloud model due to improper …
around the world yet single point of failures occurs in cloud model due to improper …
Dynamic path planning for mobile robots by integrating improved sparrow search algorithm and dynamic window approach
J Hou, W Jiang, Z Luo, L Yang, X Hu, B Guo - Actuators, 2024 - mdpi.com
To overcome the limitations of the sparrow search algorithm and the challenges of dynamic
obstacle avoidance in mobile robots, an integrated method combining the enhanced …
obstacle avoidance in mobile robots, an integrated method combining the enhanced …
[HTML][HTML] Neural network inspired differential evolution based task scheduling for cloud infrastructure
In recent years, cloud computing has become an essential technology for businesses and
individuals alike. Task scheduling is a critical aspect of cloud computing that affects the …
individuals alike. Task scheduling is a critical aspect of cloud computing that affects the …
Empowering bonobo optimizer for global optimization and cloud scheduling problem
Task scheduling in cloud computing systems is an important and challenging NP-Hard
problem that involves the decision to allocate resources to tasks in a way that optimizes a …
problem that involves the decision to allocate resources to tasks in a way that optimizes a …
Particle swarm optimization for hybrid mutant slime mold: An efficient algorithm for solving the hyperparameters of adaptive Grey-Markov modified model
G Hu, S Wang, J Zhang, EH Houssein - Information Sciences, 2025 - Elsevier
The grey prediction model is a scientific and effective prediction method for small amounts of
incomplete data. In this paper, we proposed a particle swarm optimization for mixed mutant …
incomplete data. In this paper, we proposed a particle swarm optimization for mixed mutant …
Adaptive Guided Differential Evolution‐based Slime Mould Algorithm‐based efficient Multi‐objective Task Scheduling for Cloud Computing Environments
R Nithiavathy, S Janakiraman… - Transactions on …, 2024 - Wiley Online Library
Abstract In a Cloud Computing (CC) environment, users are charged based on on‐demand
resource utilization and expected Quality of Service (QoS). Multi‐Objective‐based Task …
resource utilization and expected Quality of Service (QoS). Multi‐Objective‐based Task …
A Discrete Prey–Predator Algorithm for Cloud Task Scheduling
Cloud computing is considered a key Internet technology. Cloud providers offer services
through the Internet, such as infrastructure, platforms, and software. The scheduling process …
through the Internet, such as infrastructure, platforms, and software. The scheduling process …