Continuous versions of firefly algorithm: a review

SL Tilahun, JMT Ngnotchouye… - Artificial Intelligence …, 2019 - Springer
Firefly algorithm is a swarm based metaheuristic algorithm designed for continuous
optimization problems. It works by following better solutions and also with a random search …

A review and comparative study of firefly algorithm and its modified versions

WA Khan, NN Hamadneh, SL Tilahun… - Optimization …, 2016 - books.google.com
Firefly algorithm is one of the well-known swarm-based algorithms which gained popularity
within a short time and has different applications. It is easy to understand and implement …

Adaptive modified firefly algorithm for optimal coordination of overcurrent relays

A Tjahjono, DO Anggriawan, AK Faizin… - IET Generation …, 2017 - Wiley Online Library
One major concern in using over current relays (OCRs) is their coordination in power system
protection to decrease the pressure of electrical equipment and avoid mal‐trip in the primary …

[PDF][PDF] Optimal coordination of overcurrent relays in radial system with distributed generation using modified firefly algorithm

A Tjahjono, DO Anggriawan, AK Faizin… - … Journal on Electrical …, 2015 - researchgate.net
Overcurrent relays (OCRs) play a vital role in operating the protection of power distribution
system. In the presence of distributed generation (DG), OCR coordination is used to ensure …

An advanced deep attention collaborative mechanism for secure educational email services

Y Chen, Y Yang - Computational Intelligence and …, 2022 - Wiley Online Library
The COVID‐19 crisis has once again highlighted the vulnerabilities of some critical areas in
cyberspace, especially in the field of education, as distance learning and social distance …

Application of PSO-ELM in electronic system fault diagnosis

S Chen, Y Shang, M Wu - 2016 IEEE International Conference …, 2016 - ieeexplore.ieee.org
Extreme Learning Machine (ELM) has many advantages, such as fast learning speed, good
generalization performance and high diagnostic accuracy when it is applied in fault …

[PDF][PDF] Active and reactive power scheduling optimization using firefly algorithm to improve voltage stability under load demand variation

MKM Zamani, I Musirin, H Hassan… - Indonesian Journal of …, 2018 - academia.edu
This paper presents active and reactive power scheduling using firefly algorithm (FA) to
improve voltage stability under load demand variation. The study involves the development …

Transfer Learning and Optimised Firefly Neural Network for Lung Cancer.

A Gopinath, P Gowthaman - Journal of Intelligent Systems & …, 2024 - search.ebscohost.com
Today's clinical analysis and precise illness detection are mandated requirements for the
development of intelligent expert systems. Since lung cancer affects both men and women …

A novel firefly algorithm with self-adaptive step strategy

J Wang, G Liu - International Journal of Innovative …, 2019 - inderscienceonline.com
In the standard firefly algorithm, the random moving step is very important to the direction of
the firefly movement, and the parameter alpha plays an important role in the random moving …

Cuckoo Search in Test Case Generation and Conforming Optimality using Firefly Algorithm

K Choudhary, Y Gigras, Shilpa, P Rani - Proceedings of the Second …, 2016 - Springer
To accomplish the effectual software testing there is a requirement for optimization of test
cases. The most challenging task in software testing is the generation of optimal test cases …