An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
A comprehensive review of swarm optimization algorithms
Many swarm optimization algorithms have been introduced since the early 60's,
Evolutionary Programming to the most recent, Grey Wolf Optimization. All of these algorithms …
Evolutionary Programming to the most recent, Grey Wolf Optimization. All of these algorithms …
Low-illumination image enhancement algorithm based on improved multi-scale Retinex and ABC algorithm optimization
Y Sun, Z Zhao, D Jiang, X Tong, B Tao… - … in Bioengineering and …, 2022 - frontiersin.org
In order to solve the problems of poor image quality, loss of detail information and excessive
brightness enhancement during image enhancement in low light environment, we propose a …
brightness enhancement during image enhancement in low light environment, we propose a …
Artificial algae algorithm (AAA) for nonlinear global optimization
In this study, a novel bio-inspired metaheuristic optimization algorithm called artificial algae
algorithm (AAA) inspired by the living behaviors of microalgae, photosynthetic species, is …
algorithm (AAA) inspired by the living behaviors of microalgae, photosynthetic species, is …
Spam filtering using a logistic regression model trained by an artificial bee colony algorithm
Email spam is a serious problem that annoys recipients and wastes their time. Machine-
learning methods have been prevalent in spam detection systems owing to their efficiency in …
learning methods have been prevalent in spam detection systems owing to their efficiency in …
New inspirations in swarm intelligence: a survey
The growing complexity of real-world problems has motivated computer scientists to search
for efficient problem-solving methods. Evolutionary computation and swarm intelligence …
for efficient problem-solving methods. Evolutionary computation and swarm intelligence …
A modified firefly algorithm for photovoltaic maximum power point tracking control under partial shading
DF Teshome, CH Lee, YW Lin… - IEEE Journal of Emerging …, 2016 - ieeexplore.ieee.org
Photovoltaic modules subjected to partial shading conditions (PSC) can drastically decrease
their power output. Hence, there have been various maximum power point tracking (MPPT) …
their power output. Hence, there have been various maximum power point tracking (MPPT) …
Evolutionary techniques in optimizing machining parameters: Review and recent applications (2007–2011)
In highly competitive manufacturing industries nowadays, the manufactures ultimate goals
are to produce high quality product with less cost and time constraints. To achieve these …
are to produce high quality product with less cost and time constraints. To achieve these …
Nature-inspired metaheuristics model for gene selection and classification of biomedical microarray data
RM Aziz - Medical & Biological Engineering & Computing, 2022 - Springer
Identifying a small subset of informative genes from a gene expression dataset is an
important process for sample classification in the fields of bioinformatics and machine …
important process for sample classification in the fields of bioinformatics and machine …
A directed artificial bee colony algorithm
Artificial bee colony (ABC) algorithm has been introduced for solving numerical optimization
problems, inspired collective behavior of honey bee colonies. ABC algorithm has three …
problems, inspired collective behavior of honey bee colonies. ABC algorithm has three …