Particle swarm optimization algorithm and its applications: a systematic review
AG Gad - Archives of computational methods in engineering, 2022 - Springer
Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …
Review of healthcare industry 4.0 application-based blockchain in terms of security and privacy development attributes: Comprehensive taxonomy, open issues and …
This paper has been contributed on the basis of three main goals, namely, to identify the
research gaps, challenges and open issues in the academic literature related to the …
research gaps, challenges and open issues in the academic literature related to the …
Novel meta-heuristic bald eagle search optimisation algorithm
This study proposes a bald eagle search (BES) algorithm, which is a novel, nature-inspired
meta-heuristic optimisation algorithm that mimics the hunting strategy or intelligent social …
meta-heuristic optimisation algorithm that mimics the hunting strategy or intelligent social …
A benchmark of machine learning approaches for credit score prediction
Credit risk assessment plays a key role for correctly supporting financial institutes in defining
their bank policies and commercial strategies. Over the last decade, the emerging of social …
their bank policies and commercial strategies. Over the last decade, the emerging of social …
An enhanced whale optimization algorithm for large scale optimization problems
S Chakraborty, AK Saha, R Chakraborty… - Knowledge-Based …, 2021 - Elsevier
Whale optimization algorithm was developed based on the prey-catching characteristics of
the humpback whales. Due to its simple structure and efficiency, the researchers employed …
the humpback whales. Due to its simple structure and efficiency, the researchers employed …
Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods
Credit risk assessment is a crucial element in credit risk management. With the extensive
research on consumer credit risk assessment in recent decades, the abundance of literature …
research on consumer credit risk assessment in recent decades, the abundance of literature …
Default prediction in P2P lending from high-dimensional data based on machine learning
J Zhou, W Li, J Wang, S Ding, C Xia - Physica A: Statistical Mechanics and …, 2019 - Elsevier
In recent years, a new Internet-based unsecured credit model, peer-to-peer (P2P) lending, is
flourishing and has become a successful complement to the traditional credit business …
flourishing and has become a successful complement to the traditional credit business …
Multi-agent learning neural network and Bayesian model for real-time IoT skin detectors: a new evaluation and benchmarking methodology
This study aimed to develop a new methodology for evaluating and benchmarking a multi-
agent learning neural network and Bayesian model for real-time skin detectors based on …
agent learning neural network and Bayesian model for real-time skin detectors based on …
Based blockchain-PSO-AES techniques in finger vein biometrics: A novel verification secure framework for patient authentication
The main objective of this study is to propose a novel verification secure framework for
patient authentication between an access point (patient enrolment device) and a node …
patient authentication between an access point (patient enrolment device) and a node …
Swarm intelligence for clustering—A systematic review with new perspectives on data mining
E Figueiredo, M Macedo, HV Siqueira… - … Applications of Artificial …, 2019 - Elsevier
The increase in available data has attracted the interest in clustering approaches as a way
of coherently aggregating them and identify patterns in big data. Hence, Swarm Intelligence …
of coherently aggregating them and identify patterns in big data. Hence, Swarm Intelligence …