A survey on evolutionary machine learning
Artificial intelligence (AI) emphasises the creation of intelligent machines/systems that
function like humans. AI has been applied to many real-world applications. Machine …
function like humans. AI has been applied to many real-world applications. Machine …
A review on computational intelligence techniques in cloud and edge computing
Cloud computing (CC) is a centralized computing paradigm that accumulates resources
centrally and provides these resources to users through Internet. Although CC holds a large …
centrally and provides these resources to users through Internet. Although CC holds a large …
Multiobjective multifactorial optimization in evolutionary multitasking
In recent decades, the field of multiobjective optimization has attracted considerable interest
among evolutionary computation researchers. One of the main features that makes …
among evolutionary computation researchers. One of the main features that makes …
Multitask genetic programming-based generative hyperheuristics: A case study in dynamic scheduling
Evolutionary multitask learning has achieved great success due to its ability to handle
multiple tasks simultaneously. However, it is rarely used in the hyperheuristic domain, which …
multiple tasks simultaneously. However, it is rarely used in the hyperheuristic domain, which …
Genetic algorithm for multi-objective optimization of container allocation in cloud architecture
The use of containers in cloud architectures has become widespread, owing to advantages
such as limited overheads, easier and faster deployment, and higher portability. Moreover …
such as limited overheads, easier and faster deployment, and higher portability. Moreover …
A bi-objective task scheduling approach in fog computing using hybrid fireworks algorithm
AM Yadav, KN Tripathi, SC Sharma - The Journal of Supercomputing, 2022 - Springer
With the rapid increase in the functionality of IoT applications, the services provided by
edge/IoT devices have surged in the recent past. Fog computing is gaining momentum as a …
edge/IoT devices have surged in the recent past. Fog computing is gaining momentum as a …
An efficient symbiotic organisms search algorithm with chaotic optimization strategy for multi-objective task scheduling problems in cloud computing environment
Abstract In Cloud Computing model, users are charged according to the usage of resources
and desired Quality of Service (QoS). Multi-objective task scheduling problem based on …
and desired Quality of Service (QoS). Multi-objective task scheduling problem based on …
Evaluation and efficiency comparison of evolutionary algorithms for service placement optimization in fog architectures
This study compares three evolutionary algorithms for the problem of fog service placement:
weighted sum genetic algorithm (WSGA), non-dominated sorting genetic algorithm II (NSGA …
weighted sum genetic algorithm (WSGA), non-dominated sorting genetic algorithm II (NSGA …
Resource optimization of container orchestration: a case study in multi-cloud microservices-based applications
An approach to optimize the deployment of microservices-based applications using
containers in multi-cloud architectures is presented. The optimization objectives are three …
containers in multi-cloud architectures is presented. The optimization objectives are three …
Cloud computing using load balancing and service broker policy for IT service: a taxonomy and survey
Cloud computing is the big boom technology in IT industry infrastructure. Many people are
moving to cloud computing because of dynamic allocation of resources and reduction in …
moving to cloud computing because of dynamic allocation of resources and reduction in …