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Genetic algorithms: Theory, genetic operators, solutions, and applications
A genetic algorithm (GA) is an evolutionary algorithm inspired by the natural selection and
biological processes of reproduction of the fittest individual. GA is one of the most popular …
biological processes of reproduction of the fittest individual. GA is one of the most popular …
Brokerchain: A cross-shard blockchain protocol for account/balance-based state sharding
H Huang, X Peng, J Zhan, S Zhang… - … -IEEE Conference on …, 2022 - ieeexplore.ieee.org
State-of-the-art blockchain sharding solutions, say Monoxide, can induce imbalanced
transaction (TX) distributions among all blockchain shards due to their account deployment …
transaction (TX) distributions among all blockchain shards due to their account deployment …
Bee optimization based random double adaptive whale optimization model for task scheduling in cloud computing environment
N Manikandan, N Gobalakrishnan… - Computer Communications, 2022 - Elsevier
Cloud computing is the computing technology that offers dynamically scalable and flexible
computing resources. Task scheduling in the cloud system is the major problem that needs …
computing resources. Task scheduling in the cloud system is the major problem that needs …
Cost-aware scheduling systems for real-time workflows in cloud: An approach based on genetic algorithm and deep reinforcement learning
With the development of cloud computing, a growing number of applications are migrating to
a cloud environment. In the process, the real-time scheduling of workflows has gradually …
a cloud environment. In the process, the real-time scheduling of workflows has gradually …
Distributed Grey Wolf Optimizer for scheduling of workflow applications in cloud environments
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 …
Job scheduling in cloud computing using a modified harris hawks optimization and simulated annealing algorithm
In recent years, cloud computing technology has attracted extensive attention from both
academia and industry. The popularity of cloud computing was originated from its ability to …
academia and industry. The popularity of cloud computing was originated from its ability to …
A hybrid meta-heuristic task scheduling algorithm based on genetic and thermodynamic simulated annealing algorithms in cloud computing environments
Cloud providers deliver heterogeneous virtual machines to run complicated jobs submitted
by users. The task scheduling issue is formulated to a discrete optimization problem which is …
by users. The task scheduling issue is formulated to a discrete optimization problem which is …
Comprehensive survey on reinforcement learning-based task offloading techniques in aerial edge computing
Aerial edge computing (AEC) has emerged as a pivotal platform offering low-latency
computation services, seamless deployability, rapid operationality, and high maneuverability …
computation services, seamless deployability, rapid operationality, and high maneuverability …
An improved Henry gas solubility optimization algorithm for task scheduling in cloud computing
In cloud computing, task scheduling plays a major role and the efficient schedule of tasks
can increase the cloud system efficiency. To successfully meet the dynamic requirements of …
can increase the cloud system efficiency. To successfully meet the dynamic requirements of …
[HTML][HTML] PF-BTS: A Privacy-Aware Fog-enhanced Blockchain-assisted task scheduling
In recent years, the deployment of Cloud Computing (CC) has become more popular both in
research and industry applications, arising form various fields including e-health …
research and industry applications, arising form various fields including e-health …