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 …
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 …
RIME: A physics-based optimization
This paper proposes an efficient optimization algorithm based on the physical phenomenon
of rime-ice, called the RIME. The RIME algorithm implements the exploration and …
of rime-ice, called the RIME. The RIME algorithm implements the exploration and …
Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems
The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …
are some of the reasons for their high popularity and acceptance for control in process …
Fire Hawk Optimizer: A novel metaheuristic algorithm
This study proposes the Fire Hawk Optimizer (FHO) as a novel metaheuristic algorithm
based on the foraging behavior of whistling kites, black kites and brown falcons. These birds …
based on the foraging behavior of whistling kites, black kites and brown falcons. These birds …
Review on recent optimization strategies for hybrid renewable energy system with hydrogen technologies: State of the art, trends and future directions
The world is currently facing a power shortage due to the inadequacy of conventional
energy sources and increased energy requirements in almost all sectors of human life. To …
energy sources and increased energy requirements in almost all sectors of human life. To …
Metaheuristic algorithms on feature selection: A survey of one decade of research (2009-2019)
Feature selection is a critical and prominent task in machine learning. To reduce the
dimension of the feature set while maintaining the accuracy of the performance is the main …
dimension of the feature set while maintaining the accuracy of the performance is the main …
The cheetah optimizer: A nature-inspired metaheuristic algorithm for large-scale optimization problems
MA Akbari, M Zare, R Azizipanah-Abarghooee… - Scientific reports, 2022 - nature.com
Motivated by the hunting strategies of cheetahs, this paper proposes a nature-inspired
algorithm called the cheetah optimizer (CO). Cheetahs generally utilize three main …
algorithm called the cheetah optimizer (CO). Cheetahs generally utilize three main …
MEALPY: An open-source library for latest meta-heuristic algorithms in Python
N Van Thieu, S Mirjalili - Journal of Systems Architecture, 2023 - Elsevier
Meta-heuristic algorithms are becoming more prevalent and have been widely applied in
various fields. There are numerous reasons for the success of such techniques in both …
various fields. There are numerous reasons for the success of such techniques in both …
Design optimization of a stand-alone green energy system of university campus based on Jaya-Harmony Search and Ant Colony Optimization algorithms approaches
The use of renewable energy resources in the production of electrical energy is becoming
prevalent due to the decreasing installation costs of these resources and increasing …
prevalent due to the decreasing installation costs of these resources and increasing …