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 systematic review of optimization algorithms for structural health monitoring and optimal sensor placement
S Hassani, U Dackermann - Sensors, 2023 - mdpi.com
In recent decades, structural health monitoring (SHM) has gained increased importance for
ensuring the sustainability and serviceability of large and complex structures. To design an …
ensuring the sustainability and serviceability of large and complex structures. To design an …
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 …
A sinh cosh optimizer
Currently, meta-heuristic algorithms have been widely studied and applied, but balancing
exploration and exploitation remains a challenge. In this study, a novel meta-heuristic …
exploration and exploitation remains a challenge. In this study, a novel meta-heuristic …
Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems
S Zhao, T Zhang, S Ma, M Wang - Applied Intelligence, 2023 - Springer
This paper proposes a novel swarm intelligence-based metaheuristic called as sea-horse
optimizer (SHO), which is inspired by the movement, predation and breeding behaviors of …
optimizer (SHO), which is inspired by the movement, predation and breeding behaviors of …
Damage assessment in laminated composite plates using modal Strain Energy and YUKI-ANN algorithm
In this paper, a new hybrid YUKI-ANN is implemented for Structural Health Monitoring (SHM)
of laminated composite plates. A finite element model is constructed and used to identify …
of laminated composite plates. A finite element model is constructed and used to identify …
Lichtenberg algorithm: A novel hybrid physics-based meta-heuristic for global optimization
This paper proposes a novel global optimization algorithm called Lichtenberg Algorithm
(LA), inspired by the Lichtenberg figures patterns. Optimization is an essential tool to …
(LA), inspired by the Lichtenberg figures patterns. Optimization is an essential tool to …
Identification of electrical parameters for three-diode photovoltaic model using analytical and sunflower optimization algorithm
This article proposes an accurate and straightforward method for modeling and simulation of
photovoltaic (PV) modules. The main target is to find the nine-parameter of a three-diode …
photovoltaic (PV) modules. The main target is to find the nine-parameter of a three-diode …
Transient search optimization: a new meta-heuristic optimization algorithm
This article offers a new physical-based meta-heuristic optimization algorithm, which is
named Transient Search Optimization (TSO) algorithm. This algorithm is inspired by the …
named Transient Search Optimization (TSO) algorithm. This algorithm is inspired by the …
Marine predators algorithm for parameters identification of triple-diode photovoltaic models
The precise electrical modeling of photovoltaic (PV) module is crucial due to the large-scale
permeation of PV power plants into electric power networks. Therefore, a triple-diode …
permeation of PV power plants into electric power networks. Therefore, a triple-diode …