A comprehensive review on optimization of hybrid renewable energy systems using various optimization techniques
M Thirunavukkarasu, Y Sawle, H Lala - Renewable and Sustainable …, 2023 - Elsevier
The increasing energy prices and pollutants from fossil fuels that threaten the climate, there
is a growing preference for renewable energy. The implementation of hybrid renewable …
is a growing preference for renewable energy. The implementation of hybrid renewable …
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 …
Prairie dog optimization algorithm
This study proposes a new nature-inspired metaheuristic that mimics the behaviour of the
prairie dogs in their natural habitat called the prairie dog optimization (PDO). The proposed …
prairie dogs in their natural habitat called the prairie dog optimization (PDO). The proposed …
Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer
This study proposes a novel population-based metaheuristic algorithm called the Gazelle
Optimization Algorithm (GOA), inspired by the gazelles' survival ability in their predator …
Optimization Algorithm (GOA), inspired by the gazelles' survival ability in their predator …
Gannet optimization algorithm: A new metaheuristic algorithm for solving engineering optimization problems
Engineering design problems are usually large-scale constrained optimization problems,
and metaheuristic algorithms are vital for solving such complex problems. Therefore, this …
and metaheuristic algorithms are vital for solving such complex problems. Therefore, this …
Metaheuristics: a comprehensive overview and classification along with bibliometric analysis
Research in metaheuristics for global optimization problems are currently experiencing an
overload of wide range of available metaheuristic-based solution approaches. Since the …
overload of wide range of available metaheuristic-based solution approaches. Since the …
Triangulation topology aggregation optimizer: A novel mathematics-based meta-heuristic algorithm for continuous optimization and engineering applications
S Zhao, T Zhang, L Cai, R Yang - Expert Systems with Applications, 2024 - Elsevier
In recent years, numerous meta-heuristic algorithms based on swarm intelligence have
been proposed and widely popularized. Although algorithms are designed by some specific …
been proposed and widely popularized. Although algorithms are designed by some specific …
An improved particle swarm optimization with backtracking search optimization algorithm for solving continuous optimization problems
HRR Zaman, FS Gharehchopogh - Engineering with Computers, 2022 - Springer
The particle swarm optimization (PSO) is a population-based stochastic optimization
technique by the social behavior of bird flocking and fish schooling. The PSO has a high …
technique by the social behavior of bird flocking and fish schooling. The PSO has a high …
Dynamic arithmetic optimization algorithm for truss optimization under natural frequency constraints
Metaheuristic algorithms have successfully been used to solve any type of optimization
problem in the field of structural engineering. The newly proposed Arithmetic Optimization …
problem in the field of structural engineering. The newly proposed Arithmetic Optimization …
[HTML][HTML] A survey of recently developed metaheuristics and their comparative analysis
A Alorf - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The aim of this study was to gather, discuss, and compare recently developed
metaheuristics to understand the pace of development in the field of metaheuristics and …
metaheuristics to understand the pace of development in the field of metaheuristics and …