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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 …
Task scheduling techniques in cloud computing: A literature survey
Cloud computing manages a variety of virtualized resources, which makes scheduling a
critical component. In the cloud, a client may utilize several thousand virtualized assets for …
critical component. In the cloud, a client may utilize several thousand virtualized assets for …
Stationary and mobile storages-based renewable off-grid system planning considering storage degradation cost based on information-gap decision theory …
This paper presents the planning of a hybrid renewable system with wind turbines and bio-
waste energy units along with stationary (ie, batteries) and mobile (ie, electric vehicles) …
waste energy units along with stationary (ie, batteries) and mobile (ie, electric vehicles) …
A two-stage estimation of distribution algorithm with heuristics for energy-aware cloud workflow scheduling
Y **e, XY Wang, ZJ Shen, YH Sheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the enormous increase in energy usage by cloud data centers for handling various
workflow applications, the energy-aware cloud workflow scheduling has become a hot …
workflow applications, the energy-aware cloud workflow scheduling has become a hot …
A parallel random forest algorithm for big data in a spark cloud computing environment
With the emergence of the big data age, the issue of how to obtain valuable knowledge from
a dataset efficiently and accurately has attracted increasingly attention from both academia …
a dataset efficiently and accurately has attracted increasingly attention from both academia …
Fog computing job scheduling optimization based on bees swarm
Fog computing is a new computing architecture, composed of a set of near-user edge
devices called fog nodes, which collaborate together in order to perform computational …
devices called fog nodes, which collaborate together in order to perform computational …
Task scheduling algorithms for energy optimization in cloud environment: a comprehensive review
Cloud computing is very popular because of its unique features such as scalability, elasticity,
on-demand service, and security. A large number of tasks are performed simultaneously in a …
on-demand service, and security. A large number of tasks are performed simultaneously in a …
An effective cloud workflow scheduling approach combining PSO and idle time slot-aware rules
Y Wang, X Zuo - IEEE/CAA journal of automatica sinica, 2021 - ieeexplore.ieee.org
Workflow scheduling is a key issue and remains a challenging problem in cloud computing.
Faced with the large number of virtual machine (VM) types offered by cloud providers, cloud …
Faced with the large number of virtual machine (VM) types offered by cloud providers, cloud …
An improved genetic algorithm for task scheduling in the cloud environments using the priority queues: formal verification, simulation, and statistical testing
Cloud computing is a new platform to manage and provide services on the internet. Lately,
researchers have paid attention a lot to this new subject. One of the reasons to have high …
researchers have paid attention a lot to this new subject. One of the reasons to have high …
Ensemble particle swarm optimizer
N Lynn, PN Suganthan - Applied Soft Computing, 2017 - Elsevier
Abstract According to the “No Free Lunch (NFL)” theorem, there is no single optimization
algorithm to solve every problem effectively and efficiently. Different algorithms possess …
algorithm to solve every problem effectively and efficiently. Different algorithms possess …