Review of big data analytics, artificial intelligence and nature-inspired computing models towards accurate detection of COVID-19 pandemic cases and contact tracing
The emergence of the 2019 novel coronavirus (COVID-19) which was declared a pandemic
has spread to 210 countries worldwide. It has had a significant impact on health systems …
has spread to 210 countries worldwide. It has had a significant impact on health systems …
Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions
This overview gravitates on research achievements that have recently emerged from the
confluence between Big Data technologies and bio-inspired computation. A manifold of …
confluence between Big Data technologies and bio-inspired computation. A manifold of …
[HTML][HTML] Improving K-means clustering with enhanced Firefly Algorithms
In this research, we propose two variants of the Firefly Algorithm (FA), namely inward
intensified exploration FA (IIEFA) and compound intensified exploration FA (CIEFA), for …
intensified exploration FA (IIEFA) and compound intensified exploration FA (CIEFA), for …
A survey on firefly algorithms
J Li, X Wei, B Li, Z Zeng - Neurocomputing, 2022 - Elsevier
Firefly algorithm (FA) is one of the popular algorithms of Swarm Intelligence domain. The
literature has expanded significantly in the past few years. This paper provides a timely …
literature has expanded significantly in the past few years. This paper provides a timely …
A dynamic locality multi-objective salp swarm algorithm for feature selection
Developing intelligent analytical tools requires pre-processing data and finding relevant
features that best reinforce the performance of the predictive algorithms. Feature selection …
features that best reinforce the performance of the predictive algorithms. Feature selection …
[图书][B] Nature-inspired algorithms and applied optimization
XS Yang - 2017 - Springer
Nature-inspired algorithms, especially those based on swarm intelligence, have been
successfully applied to solve a variety of optimization problems in real-world applications …
successfully applied to solve a variety of optimization problems in real-world applications …
A hybrid and light weight metaheuristic approach with clustering for multi-objective resource scheduling and application placement in fog environment
H Sabireen, N Venkataraman - Expert Systems with Applications, 2023 - Elsevier
Fog computing is receiving considerable attention in the research community to deliver
computing resources for Internet of Things (IoT) devices. With rapid advancements in IoT, it …
computing resources for Internet of Things (IoT) devices. With rapid advancements in IoT, it …
Artificial bee colony algorithm based on adaptive neighborhood search and Gaussian perturbation
Artificial bee colony (ABC) is a type of popular swarm intelligence optimization algorithm. It is
widely concerned because of its easy implementation, few parameters and strong global …
widely concerned because of its easy implementation, few parameters and strong global …
Feature selection using firefly optimization for classification and regression models
In this research, we propose a variant of the Firefly Algorithm (FA) for discriminative feature
selection in classification and regression models for supporting decision making processes …
selection in classification and regression models for supporting decision making processes …
Multi-objective chaos game optimization
Abstract The Chaos Game Optimization (CGO) has only recently gained popularity, but its
effective searching capabilities have a lot of potential for addressing single-objective …
effective searching capabilities have a lot of potential for addressing single-objective …