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 …
Binary aquila optimizer for selecting effective features from medical data: A COVID-19 case study
Medical technological advancements have led to the creation of various large datasets with
numerous attributes. The presence of redundant and irrelevant features in datasets …
numerous attributes. The presence of redundant and irrelevant features in datasets …
[HTML][HTML] An optimal energy utilization model for precision agriculture in WSNs using multi-objective clustering and deep learning
Abstract Wireless Sensor Networks (WSNs) play a crucial role in Precision Agriculture by
providing real-time data on various environmental parameters like temperature, humidity …
providing real-time data on various environmental parameters like temperature, humidity …
Design of aquila optimization heuristic for identification of control autoregressive systems
Swarm intelligence-based metaheuristic algorithms have attracted the attention of the
research community and have been exploited for effectively solving different optimization …
research community and have been exploited for effectively solving different optimization …
Characterizing current thd's dependency on solar irradiance and supraharmonics profiling for a grid-tied photovoltaic power plant
The rapidly increasing distributed energy resources (DERs) in power systems are now
getting interconnected to set community grid structures, where power quality will be a major …
getting interconnected to set community grid structures, where power quality will be a major …
Demand response management of a residential microgrid using chaotic aquila optimization
In this paper, Chaotic Aquila Optimization has been proposed for the solution of the demand
response program of a grid-connected residential microgrid (GCRMG) system. Here, the …
response program of a grid-connected residential microgrid (GCRMG) system. Here, the …
Enhanced marine predators algorithm for solving global optimization and feature selection problems
Feature selection (FS) is applied to reduce data dimensions while retaining much
information. Many optimization methods have been applied to enhance the efficiency of FS …
information. Many optimization methods have been applied to enhance the efficiency of FS …
Electromagnetic field optimization based selective harmonic elimination in a cascaded symmetric H-bridge inverter
S Ahmad - Energies, 2022 - mdpi.com
Multilevel inverters (MLIs), both symmetrical and asymmetrical, have shown to be useful in a
number of applications. Continuous improvements in output voltage waveform control and …
number of applications. Continuous improvements in output voltage waveform control and …
[PDF][PDF] Intelligent Aquila Optimization Algorithm-Based Node Localization Scheme for Wireless Sensor Networks.
In recent times, wireless sensor network (WSN) finds their suitability in several application
areas, ranging from military to commercial ones. Since nodes in WSN are placed arbitrarily …
areas, ranging from military to commercial ones. Since nodes in WSN are placed arbitrarily …
[HTML][HTML] Chaotic Aquila Optimization algorithm for solving global optimization and engineering problems
Abstract The Aquila Optimization (AO) algorithm is a newly established swarm-based
method that mimics the hunting behavior of Aquila birds in nature. However, in complex …
method that mimics the hunting behavior of Aquila birds in nature. However, in complex …