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68 Results Found

  • Article
  • Open Access
9 Citations
2,756 Views
24 Pages

Adaptive Aquila Optimizer Combining Niche Thought with Dispersed Chaotic Swarm

  • Yue Zhang,
  • Xiping Xu,
  • Ning Zhang,
  • Kailin Zhang,
  • Weida Dong and
  • Xiaoyan Li

9 January 2023

The Aquila Optimizer (AO) is a new bio-inspired meta-heuristic algorithm inspired by Aquila’s hunting behavior. Adaptive Aquila Optimizer Combining Niche Thought with Dispersed Chaotic Swarm (NCAAO) is proposed to address the problem that altho...

  • Article
  • Open Access
118 Citations
7,011 Views
17 Pages

Optimized ANFIS Model Using Aquila Optimizer for Oil Production Forecasting

  • Ayman Mutahar AlRassas,
  • Mohammed A. A. Al-qaness,
  • Ahmed A. Ewees,
  • Shaoran Ren,
  • Mohamed Abd Elaziz,
  • Robertas Damaševičius and
  • Tomas Krilavičius

9 July 2021

Oil production forecasting is one of the essential processes for organizations and governments to make necessary economic plans. This paper proposes a novel hybrid intelligence time series model to forecast oil production from two different oil field...

  • Article
  • Open Access
6 Citations
2,325 Views
18 Pages

18 August 2023

In recent years, integration of production scheduling and machine maintenance has gained increasing attention in order to improve the stability and efficiency of flowshop manufacturing systems. This paper proposes a Q-learning-based aquila optimizer...

  • Article
  • Open Access
1 Citations
861 Views
32 Pages

2 September 2025

To enhance the accuracy and robustness of lithium-ion battery state-of-health (SOH) prediction, this study proposes a dual-mode intelligent optimization BP neural network model (AO–AVOA–BP) which integrates the Aquila Optimizer (AO) and t...

  • Article
  • Open Access
23 Citations
2,788 Views
16 Pages

Aquila Optimization Based Harmonic Elimination in a Modified H-Bridge Inverter

  • Md Reyaz Hussan,
  • Mohammad Irfan Sarwar,
  • Adil Sarwar,
  • Mohd Tariq,
  • Shafiq Ahmad,
  • Adamali Shah Noor Mohamed,
  • Irfan A. Khan and
  • Mohammad Muktafi Ali Khan

14 January 2022

Multilevel inverters (MLIs) are capable of producing high-quality output voltage and handling large amounts of power. This reduces the size of the filter while also simplifying the circuitry. As a result, they have a wide range of applications in ind...

  • Article
  • Open Access
23 Citations
3,876 Views
26 Pages

AHA-AO: Artificial Hummingbird Algorithm with Aquila Optimization for Efficient Feature Selection in Medical Image Classification

  • Mohamed Abd Elaziz,
  • Abdelghani Dahou,
  • Shaker El-Sappagh,
  • Alhassan Mabrouk and
  • Mohamed Medhat Gaber

27 September 2022

This paper presents a system for medical image diagnosis that uses transfer learning (TL) and feature selection techniques. The main aim of TL on pre-trained models such as MobileNetV3 is to extract features from raw images. Here, a novel feature sel...

  • Article
  • Open Access

26 January 2026

The Aquila Optimizer (AO), inspired by the hunting behavior of Aquila birds, is a recent nature-inspired metaheuristic algorithm recognized for its simplicity and low computational cost. However, the conventional AO often suffers from premature conve...

  • Article
  • Open Access
9 Citations
2,243 Views
32 Pages

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 range of benchmark optimization issues. However, the AO algorithm may suff...

  • Article
  • Open Access
1,146 Views
50 Pages

Improved Multi-Strategy Aquila Optimizer for Engineering Optimization Problems

  • Honglin Kan,
  • Yaping Xiao,
  • Zhiliang Gao and
  • Xuan Zhang

15 September 2025

The Aquila Optimizer (AO) is a novel and efficient optimization algorithm inspired by the hunting and searching behavior of Aquila. However, the AO faces limitations when tackling high-dimensional and complex optimization problems due to insufficient...

  • Article
  • Open Access
20 Citations
4,129 Views
27 Pages

25 July 2022

The Aquila Optimizer (AO) algorithm is a meta-heuristic algorithm with excellent performance, although it may be insufficient or tend to fall into local optima as as the complexity of real-world optimization problems increases. To overcome the shortc...

  • Article
  • Open Access
20 Citations
2,547 Views
23 Pages

Demand Response Management of a Residential Microgrid Using Chaotic Aquila Optimization

  • Sushmita Kujur,
  • Hari Mohan Dubey and
  • Surender Reddy Salkuti

12 January 2023

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 main objective is to optimize the scheduling pattern of connected applian...

  • Article
  • Open Access
3 Citations
1,752 Views
16 Pages

21 October 2024

This paper presents a new methodology for determining the optimal coefficients of a PID controller for a four-switch buck–boost (FSBB) converter. The main objective of this research is to improve the performance of FSBB converters by fine-tunin...

  • Article
  • Open Access
18 Citations
3,345 Views
17 Pages

Enhancing the Lifetime and Energy Efficiency of Wireless Sensor Networks Using Aquila Optimizer Algorithm

  • Ashraf A. Taha,
  • Hagar O. Abouroumia,
  • Shimaa A. Mohamed and
  • Lamiaa A. Amar

7 December 2022

As sensors are distributed among wireless sensor networks (WSNs), ensuring that the batteries and processing power last for a long time, to improve energy consumption and extend the lifetime of the WSN, is a significant challenge in the design of net...

  • Article
  • Open Access
27 Citations
2,938 Views
23 Pages

Design of Aquila Optimization Heuristic for Identification of Control Autoregressive Systems

  • Khizer Mehmood,
  • Naveed Ishtiaq Chaudhary,
  • Zeshan Aslam Khan,
  • Muhammad Asif Zahoor Raja,
  • Khalid Mehmood Cheema and
  • Ahmad H. Milyani

20 May 2022

Swarm intelligence-based metaheuristic algorithms have attracted the attention of the research community and have been exploited for effectively solving different optimization problems of engineering, science, and technology. This paper considers the...

  • Article
  • Open Access
5 Citations
2,065 Views
25 Pages

One of the most important tasks in handling real-world global optimization problems is to achieve a balance between exploration and exploitation in any nature-inspired optimization method. As a result, the search agents of an algorithm constantly str...

  • Article
  • Open Access
33 Citations
3,929 Views
18 Pages

An Optimal Scheduling Method in IoT-Fog-Cloud Network Using Combination of Aquila Optimizer and African Vultures Optimization

  • Qing Liu,
  • Houman Kosarirad,
  • Sajad Meisami,
  • Khalid A. Alnowibet and
  • Azadeh Noori Hoshyar

10 April 2023

Today, fog and cloud computing environments can be used to further develop the Internet of Things (IoT). In such environments, task scheduling is very efficient for executing user requests, and the optimal scheduling of IoT task requests increases th...

  • Article
  • Open Access
1 Citations
1,166 Views
21 Pages

Background: Melanoma is a highly aggressive form of skin cancer, necessitating early and accurate detection for effective treatment. This study aims to develop a novel classification system for melanoma detection that integrates Convolutional Neural...

  • Article
  • Open Access
1 Citations
917 Views
22 Pages

This study proposes a multi-strategy improved Aquila optimizer (MIAO) to address the key limitations of the original Aquila optimizer (AO). First, a phasor operator is introduced to eliminate excessive control parameters in the X2 phase, transforming...

  • Article
  • Open Access
9 Citations
2,565 Views
19 Pages

Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective

  • Imran Mir,
  • Faiza Gul,
  • Suleman Mir,
  • Laith Abualigah,
  • Raed Abu Zitar,
  • Abdelazim G. Hussien,
  • Emad Mahrous Awwad and
  • Mohamed Sharaf

This study proposes an adaptable, bio-inspired optimization algorithm for Multi-Agent Space Exploration. The recommended approach combines a parameterized Aquila Optimizer, a bio-inspired technology, with deterministic Multi-Agent Exploration. Stocha...

  • Article
  • Open Access
66 Citations
4,213 Views
24 Pages

Binary Aquila Optimizer for Selecting Effective Features from Medical Data: A COVID-19 Case Study

  • Mohammad H. Nadimi-Shahraki,
  • Shokooh Taghian,
  • Seyedali Mirjalili and
  • Laith Abualigah

4 June 2022

Medical technological advancements have led to the creation of various large datasets with numerous attributes. The presence of redundant and irrelevant features in datasets negatively influences algorithms and leads to decreases in the performance o...

  • Article
  • Open Access
29 Citations
4,370 Views
16 Pages

Topological Optimization of an Offshore-Wind-Farm Power Collection System Based on a Hybrid Optimization Methodology

  • Dongran Song,
  • Jiaqi Yan,
  • Hongda Zeng,
  • Xiaofei Deng,
  • Jian Yang,
  • Xilong Qu,
  • Rizk M. Rizk-Allah,
  • Václav Snášel and
  • Young Hoon Joo

This paper proposes a hybrid optimization method to optimize the topological structure of an offshore-wind-farm power collection system, in which the cable connection, cable selection and substation location are optimally designed. Firstly, the optim...

  • Article
  • Open Access
22 Citations
2,496 Views
18 Pages

28 June 2023

With the rapid popularization and development of renewable energy, solar photovoltaic power generation systems have become an important energy choice. Convolutional neural network (CNN) models have been widely used in photovoltaic power forecasting,...

  • Article
  • Open Access
25 Citations
2,702 Views
17 Pages

A Cox Proportional-Hazards Model Based on an Improved Aquila Optimizer with Whale Optimization Algorithm Operators

  • Ahmed A. Ewees,
  • Zakariya Yahya Algamal,
  • Laith Abualigah,
  • Mohammed A. A. Al-qaness,
  • Dalia Yousri,
  • Rania M. Ghoniem and
  • Mohamed Abd Elaziz

12 April 2022

Recently, a new optimizer, called the Aquila Optimizer (AO), was developed to solve different optimization problems. Although the AO has a significant performance in various problems, like other optimization algorithms, the AO suffers from certain li...

  • Article
  • Open Access
36 Citations
3,512 Views
28 Pages

IHSSAO: An Improved Hybrid Salp Swarm Algorithm and Aquila Optimizer for UAV Path Planning in Complex Terrain

  • Jinyan Yao,
  • Yongbai Sha,
  • Yanli Chen,
  • Guoqing Zhang,
  • Xinyu Hu,
  • Guiqiang Bai and
  • Jun Liu

1 June 2022

In this paper, we propose a modified hybrid Salp Swarm Algorithm (SSA) and Aquila Optimizer (AO) named IHSSAO for UAV path planning in complex terrain. The primary logic of the proposed IHSSAO is to enhance the performance of AO by introducing the le...

  • Article
  • Open Access
132 Citations
8,066 Views
28 Pages

30 August 2021

Aquila Optimizer (AO) and Harris Hawks Optimizer (HHO) are recently proposed meta-heuristic optimization algorithms. AO possesses strong global exploration capability but insufficient local exploitation ability. However, the exploitation phase of HHO...

  • Article
  • Open Access
29 Citations
2,889 Views
14 Pages

7 December 2022

It is necessary to study different aspects of renewable energy generation, including wind energy. Wind power is one of the most important green and renewable energy resources. The estimation of wind energy generation is a critical task that has recei...

  • Article
  • Open Access
38 Citations
5,067 Views
46 Pages

14 December 2022

Aquila Optimizer (AO) and Artificial Rabbits Optimization (ARO) are two recently developed meta-heuristic optimization algorithms. Although AO has powerful exploration capability, it still suffers from poor solution accuracy and premature convergence...

  • Article
  • Open Access
30 Citations
3,194 Views
19 Pages

Aquila Optimization Algorithm for Wind Energy Potential Assessment Relying on Weibull Parameters Estimation

  • Adel A. Abou El-Ela,
  • Ragab A. El-Sehiemy,
  • Abdullah M. Shaheen and
  • Ayman S. Shalaby

30 September 2022

Statistical distribution approaches have been developed to describe wind data due to the intermittent and unpredictable nature of wind speed. The Weibull distribution with two parameters is thought to be the most accurate distribution for modeling wi...

  • Article
  • Open Access
1,762 Views
15 Pages

4 November 2023

For the sake of conducting distribution network reliability prediction in an accurate and efficient manner, a model for distribution network reliability prediction (IAO-LSSVM) based on an improved Aquila Optimizer (IAO) optimized mixed-kernel Least S...

  • Article
  • Open Access
5 Citations
2,410 Views
21 Pages

Ocean Wave Energy Control Using Aquila Optimization Technique

  • Sunil Kumar Mishra,
  • Amitkumar V. Jha,
  • Bhargav Appasani,
  • Nicu Bizon,
  • Phatiphat Thounthong and
  • Pongsiri Mungporn

2 June 2023

This paper presents ocean wave energy control using the Aquila optimization (AO) technique. An oscillating water column (OWC)-type wave energy converter has been considered that is fitted with a Wells turbine and doubly fed induction generator (DFIG)...

  • Article
  • Open Access
7 Citations
2,904 Views
20 Pages

FAWPA: A FAW Attack Protection Algorithm Based on the Behavior of Blockchain Miners

  • Yang Zhang,
  • Xiaowen Lv,
  • Yourong Chen,
  • Tiaojuan Ren,
  • Changchun Yang and
  • Meng Han

4 July 2022

Blockchain has become one of the key techniques for the security of the industrial internet. However, the blockchain is vulnerable to FAW (Fork after Withholding) attacks. To protect the industrial internet from FAW attacks, this paper proposes a nov...

  • Article
  • Open Access
8 Citations
2,325 Views
20 Pages

27 February 2023

This study proposed a separation method to identify the temperature-induced response from the long-term monitoring data with noise and other action-induced effects. In the proposed method, the original measured data are transformed using the local ou...

  • Article
  • Open Access
16 Citations
3,513 Views
21 Pages

Enhanced Marine Predators Algorithm for Solving Global Optimization and Feature Selection Problems

  • Ahmed A. Ewees,
  • Fatma H. Ismail,
  • Rania M. Ghoniem and
  • Marwa A. Gaheen

7 November 2022

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 algorithms. These approaches reduce the processing time and improve the accuracy...

  • Article
  • Open Access
7 Citations
2,058 Views
21 Pages

23 April 2024

Monitoring the condition of the grinding wheel in real-time during the grinding process is crucial as it directly impacts the precision and quality of the workpiece. Deep learning technology plays a vital role in analyzing the changes in sensor signa...

  • Article
  • Open Access
9 Citations
3,996 Views
26 Pages

Enhanced MPPT-Based Fractional-Order PID for PV Systems Using Aquila Optimizer

  • Mohammed Tadj,
  • Lakhdar Chaib,
  • Abdelghani Choucha,
  • Al-Motasem Aldaoudeyeh,
  • Ahmed Fathy,
  • Hegazy Rezk,
  • Mohamed Louzazni and
  • Attia El-Fergany

This paper proposes a controller to track the maximum power point (MPP) of a photovoltaic (PV) system using a fractional-order proportional integral derivative (FOPID) controller. The employed MPPT is operated based on a dp/dv feedback approach. The...

  • Article
  • Open Access
42 Citations
3,065 Views
19 Pages

Optimal Power Flow Solution of Wind-Integrated Power System Using Novel Metaheuristic Method

  • Amr Khaled Khamees,
  • Almoataz Y. Abdelaziz,
  • Makram R. Eskaros,
  • Adel El-Shahat and
  • Mahmoud A. Attia

26 September 2021

Wind energy is particularly significant in the power system today since it is a cheap and clean power source. The unpredictability of wind speed leads to uncertainty in devolved power which increases the difficulty in wind energy system operation. Th...

  • Article
  • Open Access
7 Citations
2,463 Views
40 Pages

The Mayfly Optimization Algorithm (MOA), as a new biomimetic metaheuristic algorithm with superior algorithm framework and optimization methods, plays a remarkable role in solving optimization problems. However, there are still shortcomings of conver...

  • Article
  • Open Access
11 Citations
2,026 Views
18 Pages

25 March 2024

Partial discharge (PD) is a primary factor leading to the deterioration of insulation in electrical equipment. However, it is hard for traditional methods to precisely extract PD signals in increasingly complex engineering environments. This paper pr...

  • Article
  • Open Access
37 Citations
4,289 Views
35 Pages

Revolutionizing Oral Cancer Detection: An Approach Using Aquila and Gorilla Algorithms Optimized Transfer Learning-Based CNNs

  • Mahmoud Badawy,
  • Hossam Magdy Balaha,
  • Ahmed S. Maklad,
  • Abdulqader M. Almars and
  • Mostafa A. Elhosseini

The early detection of oral cancer is pivotal for improving patient survival rates. However, the high cost of manual initial screenings poses a challenge, especially in resource-limited settings. Deep learning offers an enticing solution by enabling...

  • Article
  • Open Access
2 Citations
986 Views
23 Pages

21 November 2024

The accurate estimation of reference crop evapotranspiration (ET0) is essential for crop water consumption modeling and agricultural water resource management. In the present study, three bionic algorithms (aquila optimizer (AO), tuna swarm optimizat...

  • Article
  • Open Access
6 Citations
2,913 Views
30 Pages

An Efficient Optimized DenseNet Model for Aspect-Based Multi-Label Classification

  • Nasir Ayub,
  • Tayyaba,
  • Saddam Hussain,
  • Syed Sajid Ullah and
  • Jawaid Iqbal

28 November 2023

Sentiment analysis holds great importance within the domain of natural language processing as it examines both the expressed and underlying emotions conveyed through review content. Furthermore, researchers have discovered that relying solely on the...

  • Article
  • Open Access
2 Citations
1,259 Views
23 Pages

30 December 2024

China produces the largest amount of CO2 emissions since 2007 and is the second largest economy in the world since 2010, and the Yangtze River Delta (YRD) area plays a crucial role in promoting low-carbon development in China. Analyzing its evolution...

  • Article
  • Open Access
5 Citations
2,172 Views
25 Pages

26 December 2024

The high mobility and dynamic nature of unmanned aerial vehicles (UAVs) pose significant challenges to clustering and routing in flying ad hoc networks (FANETs). Traditional methods often fail to achieve stable networks with efficient resource utiliz...

  • Article
  • Open Access
21 Citations
3,250 Views
20 Pages

10 December 2021

Due to the symmetry of the rolling bearing structure and the rotating operation mode, it will cause the coupling modulation phenomenon when it is damaged in multiple places at the same time, which makes it difficult to accurately identify all kinds o...

  • Article
  • Open Access
34 Citations
4,412 Views
17 Pages

Optimal Fuzzy Controller Design for Autonomous Robot Path Tracking Using Population-Based Metaheuristics

  • Alejandra Mancilla,
  • Mario García-Valdez,
  • Oscar Castillo and
  • Juan Julian Merelo-Guervós

21 January 2022

In this work, we propose, through the use of population-based metaheuristics, an optimization method that solves the problem of autonomous path tracking using a rear-wheel fuzzy logic controller. This approach enables the design of controllers using...

  • Article
  • Open Access
16 Citations
2,385 Views
17 Pages

Wavelet Mutation with Aquila Optimization-Based Routing Protocol for Energy-Aware Wireless Communication

  • Someah Alangari,
  • Marwa Obayya,
  • Abdulbaset Gaddah,
  • Ayman Yafoz,
  • Raed Alsini,
  • Omar Alghushairy,
  • Ahmed Ashour and
  • Abdelwahed Motwakel

4 November 2022

Wireless sensor networks (WSNs) have been developed recently to support several applications, including environmental monitoring, traffic control, smart battlefield, home automation, etc. WSNs include numerous sensors that can be dispersed around a s...

  • Article
  • Open Access
7 Citations
2,926 Views
18 Pages

The Internet of things (IoT) has recently received a great deal of attention, and there has been a large increase in the number of IoT devices owing to its significance in current communication networks. In addition, the validation of devices is an i...

  • Article
  • Open Access
30 Citations
3,013 Views
39 Pages

Single- and Multi-Objective Modified Aquila Optimizer for Optimal Multiple Renewable Energy Resources in Distribution Network

  • Mohammed Hamouda Ali,
  • Ahmed Tijani Salawudeen,
  • Salah Kamel,
  • Habeeb Bello Salau,
  • Monier Habil and
  • Mokhtar Shouran

19 June 2022

Nowadays, the electrical power system has become a more complex, interconnected network that is expanding every day. Hence, the power system faces many problems such as increasing power losses, voltage deviation, line overloads, etc. The optimization...

  • Article
  • Open Access
3 Citations
1,933 Views
24 Pages

Existing swarm intelligence (SI) optimization algorithms applied to node localization optimization (NLO) and node coverage optimization (NCO) problems have low accuracy. In this study, a novel balanced butterfly optimizer (BBO) is proposed which comp...

  • Article
  • Open Access
7 Citations
4,297 Views
17 Pages

Machine-Learning-Based Characterization and Inverse Design of Metamaterials

  • Wei Liu,
  • Guxin Xu,
  • Wei Fan,
  • Muyun Lyu and
  • Zhaowang Xia

16 July 2024

Metamaterials, characterized by unique structures, exhibit exceptional properties applicable across various domains. Traditional methods like experiments and finite-element methods (FEM) have been extensively utilized to characterize these properties...

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