[HTML][HTML] A Hybrid Algorithm Based on Multi-Strategy Elite Learning for Global Optimization

X Zhao, C Yang, D Zhu, Y Liu - Electronics, 2024 - mdpi.com
To improve the performance of the sparrow search algorithm in solving complex optimization
problems, this study proposes a novel variant called the Improved Beetle Antennae Search …

A hybrid heuristic algorithm using artificial agents for data replication problem in distributed systems

B Arasteh, SS Sefati, S Halunga, O Fratu… - Symmetry, 2023 - mdpi.com
One of the key issues with large distributed systems, such as IoT platforms, is gaining timely
access to data objects. As a result, decreasing the operation time of reading and writing data …

Johnson's SU distribution using Gray Wolf Optimizer algorithm for fitting gas turbine reliability data

N Charrak, AZ Djeddi, A Hafaifa, M Elbar… - Life Cycle Reliability and …, 2024 - Springer
Controlling failures and degradation of gas turbines is crucial for optimizing efficiency,
productivity, and maintaining safe operations in the oil and gas industry. Reliability indices …

Inverted Ant Colony Optimization Algorithm for Data Replication in Cloud Computing

Y Min - International Journal of Advanced Computer Science …, 2023 - search.proquest.com
Data replication is crucial in enhancing data availability and reducing access latency in
cloud computing. This paper presents a dynamic duplicate management method for cloud …

[PDF][PDF] A Hybrid Heuristic Algorithm Using Artificial Agents for Data Replication Problem in Distributed Systems. Symmetry 2023, 15, 487

B Arasteh, SS Sefati, S Halunga, O Fratu… - 2023 - academia.edu
One of the key issues with large distributed systems, such as IoT platforms, is gaining timely
access to data objects. As a result, decreasing the operation time of reading and writing data …

[PDF][PDF] Optimization for Dynamic Replication in Cloud Center

BP BABU, DRP PEDDI, DRS PAPPALA - Optimization, 2023 - ijarasem.com
The cloud Storage Providers (CSPs) present geological documents are put away with a few
memory space classes with arranging costs. A noteworthy issue encountering by the cloud …

Solving Large-Scale Sparse Multi-Objective Optimization Problems by Automated Decision Variable Clustering

S Shao, Y Tian, X Zhang - Available at SSRN 4864619 - papers.ssrn.com
Solving large-scale sparse multi-objective optimization problems (SMOPs) with evolutionary
algorithms has attracted considerable attention, and a number of decision variable …