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 …
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 …
DETDO: An adaptive hybrid dandelion optimizer for engineering optimization
G Hu, Y Zheng, L Abualigah, AG Hussien - Advanced Engineering …, 2023 - Elsevier
Dandelion Optimizer (DO) is a recently proposed swarm intelligence algorithm that
coincides with the process of finding the best reproduction site for dandelion seeds …
coincides with the process of finding the best reproduction site for dandelion seeds …
Fick's Law Algorithm: A physical law-based algorithm for numerical optimization
Recently, many metaheuristic optimization algorithms have been developed to address real-
world issues. In this study, a new physics-based metaheuristic called Fick's law optimization …
world issues. In this study, a new physics-based metaheuristic called Fick's law optimization …
A global best-guided firefly algorithm for engineering problems
Abstract The Firefly Algorithm (FA) is a highly efficient population-based optimization
technique developed by mimicking the flashing behavior of fireflies when mating. This article …
technique developed by mimicking the flashing behavior of fireflies when mating. This article …
African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems
B Abdollahzadeh, FS Gharehchopogh… - Computers & Industrial …, 2021 - Elsevier
Metaheuristics play a crucial role in solving optimization problems. The majority of such
algorithms are inspired by collective intelligence and foraging of creatures in nature. In this …
algorithms are inspired by collective intelligence and foraging of creatures in nature. In this …
[HTML][HTML] The arithmetic optimization algorithm
This work proposes a new meta-heuristic method called Arithmetic Optimization Algorithm
(AOA) that utilizes the distribution behavior of the main arithmetic operators in mathematics …
(AOA) that utilizes the distribution behavior of the main arithmetic operators in mathematics …
Geyser inspired algorithm: a new geological-inspired meta-heuristic for real-parameter and constrained engineering optimization
Over the past years, many efforts have been accomplished to achieve fast and accurate
meta-heuristic algorithms to optimize a variety of real-world problems. This study presents a …
meta-heuristic algorithms to optimize a variety of real-world problems. This study presents a …
[HTML][HTML] Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms
Metaheuristics are popularly used in various fields, and they have attracted much attention
in the scientific and industrial communities. In recent years, the number of new metaheuristic …
in the scientific and industrial communities. In recent years, the number of new metaheuristic …
Golden eagle optimizer: A nature-inspired metaheuristic algorithm
This paper proposes a nature-inspired swarm-based metaheuristic for solving global
optimization problems called Golden Eagle Optimizer (GEO). The core inspiration of GEO is …
optimization problems called Golden Eagle Optimizer (GEO). The core inspiration of GEO is …