[HTML][HTML] A comprehensive survey on aquila optimizer
Aquila Optimizer (AO) is a well-known nature-inspired optimization algorithm (NIOA) that
was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population …
was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population …
A systematic review of the emerging metaheuristic algorithms on solving complex optimization problems
The scientific field of optimization has witnessed an increasing trend in the development of
metaheuristic algorithms within the current decade. The vast majority of the proposed …
metaheuristic algorithms within the current decade. The vast majority of the proposed …
[HTML][HTML] Effective PID controller design using a novel hybrid algorithm for high order systems
This paper discusses the merging of two optimization algorithms, atom search optimization
and particle swarm optimization, to create a hybrid algorithm called hybrid atom search …
and particle swarm optimization, to create a hybrid algorithm called hybrid atom search …
Hunger games pattern search with elite opposite-based solution for solving complex engineering design problems
The hunger games search (HGS) algorithm is designed to tackle optimization problems,
however, issues such as local minimum stagnation and immature convergence hinder its …
however, issues such as local minimum stagnation and immature convergence hinder its …
Comparative analysis of the hybrid gazelle‐Nelder–Mead algorithm for parameter extraction and optimization of solar photovoltaic systems
The pressing need for sustainable energy solutions has driven significant research in
optimizing solar photovoltaic (PV) systems which is crucial for maximizing energy …
optimizing solar photovoltaic (PV) systems which is crucial for maximizing energy …
[HTML][HTML] An elite approach to re-design Aquila optimizer for efficient AFR system control
Controlling the air-fuel ratio system (AFR) in lean combustion spark-ignition engines is
crucial for mitigating emissions and addressing climate change. In this regard, this study …
crucial for mitigating emissions and addressing climate change. In this regard, this study …
[HTML][HTML] Efficient parameter extraction of photovoltaic models with a novel enhanced prairie dog optimization algorithm
The growing demand for solar energy conversion underscores the need for precise
parameter extraction methods in photovoltaic (PV) plants. This study focuses on enhancing …
parameter extraction methods in photovoltaic (PV) plants. This study focuses on enhancing …
Spiral aquila optimizer based on dynamic gaussian mutation: applications in global optimization and engineering
L Zeng, M Li, J Shi, S Wang - Neural Processing Letters, 2023 - Springer
Aquila optimizer (AO) is a nascent meta-heuristic algorithm that draws its inspiration from the
four distinct hunting strategies employed by Aquila in nature. While prior research has …
four distinct hunting strategies employed by Aquila in nature. While prior research has …
[HTML][HTML] Using the Grey Wolf Aquila Synergistic Algorithm for Design Problems in Structural Engineering
The Aquila Optimizer (AO) is a metaheuristic algorithm that is inspired by the hunting
behavior of the Aquila bird. The AO approach has been proven to perform effectively on a …
behavior of the Aquila bird. The AO approach has been proven to perform effectively on a …
Improved Nelder-Mead algorithm for output voltage control of a synchronous generator
EG Boudissa, F Habbi, NE Gabour… - International Journal of …, 2023 - Taylor & Francis
It is known that the standard Nelder-Mead algorithm (NMA) is subject to the problem of local
minimum. This paper proposes an improved Nelder-Mead algorithm (INMA) based on …
minimum. This paper proposes an improved Nelder-Mead algorithm (INMA) based on …