Evolutionary machine learning: A survey

A Telikani, A Tahmassebi, W Banzhaf… - ACM Computing …, 2021 - dl.acm.org
Evolutionary Computation (EC) approaches are inspired by nature and solve optimization
problems in a stochastic manner. They can offer a reliable and effective approach to address …

Grasshopper optimization algorithm: theory, variants, and applications

Y Meraihi, AB Gabis, S Mirjalili… - Ieee …, 2021 - ieeexplore.ieee.org
Grasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired
by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has …

A survey on new generation metaheuristic algorithms

T Dokeroglu, E Sevinc, T Kucukyilmaz… - Computers & Industrial …, 2019 - Elsevier
Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …

Crow search algorithm: theory, recent advances, and applications

AG Hussien, M Amin, M Wang, G Liang… - IEEE …, 2020 - ieeexplore.ieee.org
In this article, a comprehensive overview of the Crow Search Algorithm (CSA) is introduced
with detailed discussions, which is intended to keep researchers interested in swarm …

Energy management system optimization in islanded microgrids: An overview and future trends

JM Raya-Armenta, N Bazmohammadi… - … and Sustainable Energy …, 2021 - Elsevier
Islanded microgrids (IMGs) provide a promising solution for reliable and environmentally
friendly energy supply to remote areas and off-grid systems. However, the operation …

Opposition-based learning grey wolf optimizer for global optimization

X Yu, WY Xu, CL Li - Knowledge-Based Systems, 2021 - Elsevier
Grey wolf optimizer is a novel swarm intelligent algorithm. It has received lots of interest from
the heuristic algorithm community for its superior optimization capacity and few parameters …

A comprehensive survey of sine cosine algorithm: variants and applications

AB Gabis, Y Meraihi, S Mirjalili… - Artificial Intelligence …, 2021 - Springer
Abstract Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …

A survey of evolutionary computation for association rule mining

A Telikani, AH Gandomi, A Shahbahrami - Information Sciences, 2020 - Elsevier
Abstract Association Rule Mining (ARM) is a significant task for discovering frequent patterns
in data mining. It has achieved great success in a plethora of applications such as market …

An evolutionary gravitational search-based feature selection

M Taradeh, M Mafarja, AA Heidari, H Faris, I Aljarah… - Information …, 2019 - Elsevier
With recent advancements in data collection tools and the widespread use of intelligent
information systems, a huge amount of data streams with lots of redundant, irrelevant, and …

A multi-layered gravitational search algorithm for function optimization and real-world problems

Y Wang, S Gao, M Zhou, Y Yu - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
A gravitational search algorithm (GSA) uses gravitational force among individuals to evolve
population. Though GSA is an effective population-based algorithm, it exhibits low search …