A comprehensive review: Krill Herd algorithm (KH) and its applications. - Asaju La'aro Bolaji; Mohammed Azmi Al-Betar; Mohammed A. Awadallah 001; Ahamad Tajudin Khader; Laith Mohammad Abualigah (Appl. Soft Comput., 2016)

A novel hybridization strategy for krill herd algorithm applied to clustering techniques. - Laith Mohammad Abualigah; Ahamad Tajudin Khader; Essam Said Hanandeh; Amir H. Gandomi (Appl. Soft Comput., 2017)

Text feature selection with a robust weight scheme and dynamic dimension reduction to text document clustering. - Laith Mohammad Abualigah; Ahamad Tajudin Khader; Mohammed Azmi Al-Betar; Osama Ahmad Alomari (Expert Syst. Appl., 2017)

Gene selection for cancer classification by combining minimum redundancy maximum relevancy and bat-inspired algorithm. - Osama Ahmad Alomari; Ahamad Tajudin Khader; Mohammed Azmi Al-Betar; Laith Mohammad Abualigah (Int. J. Data Min. Bioinform., 2017)

Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering. - Laith Mohammad Abualigah; Ahamad Tajudin Khader (J. Supercomput., 2017)

Hybrid clustering analysis using improved krill herd algorithm. - Laith Mohammad Abualigah; Ahamad Tajudin Khader; Essam Said Hanandeh (Appl. Intell., 2018)

A combination of objective functions and hybrid Krill herd algorithm for text document clustering analysis. - Laith Mohammad Abualigah; Ahamad Tajudin Khader; Essam Said Hanandeh (Eng. Appl. Artif. Intell., 2018)

A hybrid strategy for krill herd algorithm with harmony search algorithm to improve the data clustering. - Laith Mohammad Abualigah; Ahamad Tajudin Khader; Essam Said Hanandeh (Intell. Decis. Technol., 2018)

A new feature selection method to improve the document clustering using particle swarm optimization algorithm. - Laith Mohammad Abualigah; Ahamad Tajudin Khader; Essam Said Hanandeh (J. Comput. Sci., 2018)

Hybridising cuckoo search algorithm for extracting the ODF maxima in spherical harmonic representation. - Mohammad Shehab; Mohammad Sh. Daoud; Hani Mahmoud Almimi; Laith Mohammad Abualigah; Ahamad Tajudin Khader (Int. J. Bio Inspired Comput., 2019)

Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering - Laith Mohammad Abualigah (Springer, 2019)

Nature-Inspired Optimization Algorithms for Text Document Clustering - A Comprehensive Analysis. - Laith Mohammad Abualigah; Amir H. Gandomi; Mohamed Abd El Aziz 001; Abdelazim G. Hussien; Ahmad M. Khasawneh; Mohammad Alshinwan; Essam H. Houssein (Algorithms, 2020)

(AIAM2019) Artificial Intelligence in Software Engineering and inverse: Review. - Mohammad Shehab; Laith Mohammad Abualigah; Muath Ibrahim Jarrah; Osama Ahmad Alomari; Mohammad Sh. Daoud (Int. J. Comput. Integr. Manuf., 2020)

A Grey Wolf Optimizer for Text Document Clustering. - Hasan Rashaideh; Ahmad Sawaie; Mohammed Azmi Al-Betar; Laith Mohammad Abualigah; Mohammed M. Al-Laham; Ra'ed M. Al-Khatib; Malik Braik (J. Intell. Syst., 2020)

Multi-verse optimizer algorithm: a comprehensive survey of its results, variants, and applications. - Laith Abualigah (Neural Comput. Appl., 2020)

A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications. - Laith Abualigah; Ali Diabat (Neural Comput. Appl., 2020)

Salp swarm algorithm: a comprehensive survey. - Laith Mohammad Abualigah; Mohammad Shehab; Mohammad Alshinwan; Hamzeh Alabool (Neural Comput. Appl., 2020)

Moth-flame optimization algorithm: variants and applications. - Mohammad Shehab; Laith Mohammad Abualigah; Husam Al Hamad; Hamzeh Alabool; Mohammad Alshinwan; Ahmad M. Khasawneh (Neural Comput. Appl., 2020)

Green Communication for Underwater Wireless Sensor Networks: Triangle Metric Based Multi-Layered Routing Protocol. - Ahmad M. Khasawneh; Omprakash Kaiwartya; Jaime Lloret 001; Hayfa Y. Abuaddous; Laith Mohammad Abualigah; Mohammad Alshinwan; Mahmoud Ahmad Al-Khasawneh; Marwan Mahmoud; Rupak Kharel (Sensors, 2020)

Green Computing in Underwater Wireless Sensor Networks Pressure Centric Energy Modeling. - Ahmad M. Khasawneh; Omprakash Kaiwartya; Alá F. Khalifeh; Laith Mohammad Abualigah; Jaime Lloret 001 (IEEE Syst. J., 2020)

Application of Red Deer Algorithm in Optimizing Complex functions. - Raed Abu Zitar; Laith Abualigah (CISP-BMEI, 2021)

Multi-Robot Space Exploration: An Augmented Arithmetic Approach. - Faiza Gul; Imran Mir; Laith Mohammad Abualigah; Putra Sumari (IEEE Access, 2021)

A New Arithmetic Optimization Algorithm for Solving Real-World Multiobjective CEC-2021 Constrained Optimization Problems: Diversity Analysis and Validations. - Premkumar Manoharan; Pradeep Jangir; B. Santhosh Kumar; Ravichandran Sowmya; Hassan Haes Alhelou; Laith Mohammad Abualigah; Ali Riza Yildiz; Seyedali Mirjalili (IEEE Access, 2021)

Advances in Sine Cosine Algorithm: A comprehensive survey. - Laith Mohammad Abualigah; Ali Diabat (Artif. Intell. Rev., 2021)

Lightning search algorithm: a comprehensive survey. - Laith Mohammad Abualigah; Mohamed Abd El-Aziz 001; Abdelazim G. Hussien; Bisan Alsalibi; Seyed Mohammad Jafar Jalali; Amir H. Gandomi (Appl. Intell., 2021)

A novel bat algorithm with dynamic membrane structure for optimization problems. - Bisan Alsalibi; Laith Mohammad Abualigah; Ahamad Tajudin Khader (Appl. Intell., 2021)

Prediction of software vulnerability based deep symbiotic genetic algorithms: Phenotyping of dominant-features. - Canan Batur Sahin; Özlem Batur Dinler; Laith Mohammad Abualigah (Appl. Intell., 2021)

Solving capacitated vehicle routing problem using cooperative firefly algorithm. - Asma M. Altabeeb; Abdulqader M. Mohsen; Laith Mohammad Abualigah; Abdullatif Ghallab (Appl. Soft Comput., 2021)

COVID-19 X-ray images classification based on enhanced fractional-order cuckoo search optimizer using heavy-tailed distributions. - Dalia Yousri; Mohamed Abd El Aziz 001; Laith Mohammad Abualigah; Diego Oliva; Mohammed Abdulaziz Aide Al-qaness; Ahmed A. Ewees (Appl. Soft Comput., 2021)

Aquila Optimizer: A novel meta-heuristic optimization algorithm. - Laith Mohammad Abualigah; Dalia Yousri; Mohamed Abd El-Aziz 001; Ahmed A. Ewees; Mohammed Abdulaziz Aide Al-qaness; Amir H. Gandomi (Comput. Ind. Eng., 2021)

IoT Workflow Scheduling Using Intelligent Arithmetic Optimization Algorithm in Fog Computing. - Mohamed Abd Elaziz 001; Laith Mohammad Abualigah; Rehab Ali Ibrahim; Ibrahim Attiya (Comput. Intell. Neurosci., 2021)

A Hybrid SSA and SMA with Mutation Opposition-Based Learning for Constrained Engineering Problems. - Shuang Wang 013; Qingxin Liu; Yuxiang Liu; Heming Jia; Laith Mohammad Abualigah; Rong Zheng; Di Wu (Comput. Intell. Neurosci., 2021)

A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments. - Laith Mohammad Abualigah; Ali Diabat (Clust. Comput., 2021)

A novel feature selection method for data mining tasks using hybrid Sine Cosine Algorithm and Genetic Algorithm. - Laith Mohammad Abualigah; Akram Jamal Dulaimi (Clust. Comput., 2021)

Intelligent workflow scheduling for Big Data applications in IoT cloud computing environments. - Laith Mohammad Abualigah; Ali Diabat; Mohamed Abd El Aziz 001 (Clust. Comput., 2021)

An Electric Fish-Based Arithmetic Optimization Algorithm for Feature Selection. - Rehab Ali Ibrahim; Laith Mohammad Abualigah; Ahmed A. Ewees; Mohammed Abdulaziz Aide Al-qaness; Dalia Yousri; Samah Alshathri; Mohamed E. Abd Elaziz (Entropy, 2021)

Enhanced Slime Mould Algorithm for Multilevel Thresholding Image Segmentation Using Entropy Measures. - Shanying Lin; Heming Jia; Laith Abualigah; Maryam Altalhi (Entropy, 2021)

An Improved Moth-Flame Optimization Algorithm with Adaptation Mechanism to Solve Numerical and Mechanical Engineering Problems. - Mohammad H. Nadimi-Shahraki; Ali Fatahi; Hoda Zamani; Seyedali Mirjalili; Laith Mohammad Abualigah (Entropy, 2021)

Development and application of slime mould algorithm for optimal economic emission dispatch. - Mohamed H. Hassan; Salah Kamel; Laith Mohammad Abualigah; Ahmad Eid (Expert Syst. Appl., 2021)

Enhanced a hybrid moth-flame optimization algorithm using new selection schemes. - Mohammad Shehab; Hanadi Alshawabkah; Laith Mohammad Abualigah; Nagham A. Al-Madi (Eng. Comput., 2021)

Advanced optimization technique for scheduling IoT tasks in cloud-fog computing environments. - Mohamed E. Abd Elaziz; Laith Mohammad Abualigah; Ibrahim Attiya (Future Gener. Comput. Syst., 2021)

Improved binary gray wolf optimizer and SVM for intrusion detection system in wireless sensor networks. - Mukaram Safaldin; Mohammed Otair; Laith Mohammad Abualigah (J. Ambient Intell. Humaniz. Comput., 2021)

An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation. - Essam H. Houssein; Kashif Hussain 001; Laith Mohammad Abualigah; Mohamed E. Abd Elaziz; Waleed Alomoush; Gaurav Dhiman; Youcef Djenouri; Erik Cuevas (Knowl. Based Syst., 2021)

A parallel hybrid krill herd algorithm for feature selection. - Laith Mohammad Abualigah; Bisan Alsalibi; Mohammad Shehab; Mohammad Alshinwan; Ahmad M. Khasawneh; Hamzeh Alabool (Int. J. Mach. Learn. Cybern., 2021)

Feature selection method using improved CHI Square on Arabic text classifiers: analysis and application. - Hadeel N. Alshaer; Mohammed Otair; Laith Mohammad Abualigah; Mohammad Alshinwan; Ahmad M. Khasawneh (Multim. Tools Appl., 2021)

Dragonfly algorithm: a comprehensive survey of its results, variants, and applications. - Mohammad Alshinwan; Laith Mohammad Abualigah; Mohammad Shehab; Mohamed Abd El-Aziz 001; Ahmad M. Khasawneh; Hamzeh Alabool; Husam Al Hamad (Multim. Tools Appl., 2021)

An intelligent long-lived TCP based on real-time traffic regulation. - Mohammad Al-Shinwan; Laith Mohammad Abualigah; Nguyen Dinh Le; Chul-Soo Kim; Ahmad M. Khasawneh (Multim. Tools Appl., 2021)

Augmented grasshopper optimization algorithm by differential evolution: a power scheduling application in smart homes. - Ahmad Ziadeh; Laith Mohammad Abualigah; Mohamed Abd El Aziz 001; Canan Batur Sahin; Abdulwahab Ali Almazroi; Mahmoud Omari (Multim. Tools Appl., 2021)

Harris hawks optimization: a comprehensive review of recent variants and applications. - Hamzeh Alabool; Deemah Alarabiat; Laith Mohammad Abualigah; Ali Asghar Heidari (Neural Comput. Appl., 2021)

Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks. - Ahmad Eid; Salah Kamel; Laith Mohammad Abualigah (Neural Comput. Appl., 2021)

Advanced metaheuristic optimization techniques in applications of deep neural networks: a review. - Mohamed E. Abd Elaziz; Abdelghani Dahou; Laith Mohammad Abualigah; Liyang Yu; Mohammad Alshinwan; Ahmad M. Khasawneh; Songfeng Lu (Neural Comput. Appl., 2021)

A novel deep learning-based feature selection model for improving the static analysis of vulnerability detection. - Canan Batur Sahin; Laith Mohammad Abualigah (Neural Comput. Appl., 2021)

MTV-MFO: Multi-Trial Vector-Based Moth-Flame Optimization Algorithm. - Mohammad H. Nadimi-Shahraki; Shokooh Taghian; Seyedali Mirjalili; Ahmed A. Ewees; Laith Mohammad Abualigah; Mohamed Abd Elaziz 001 (Symmetry, 2021)

Development of a Real-Time Dynamic Weighting Method in Routing for Congestion Control: Application and Analysis. - Mohammad Alshinwan; Laith Mohammad Abualigah; Chul-Soo Kim; Hamzeh Alabool (Wirel. Pers. Commun., 2021)

Machine Learning and Network Traffic to Distinguish Between Malware and Benign Applications. - Laith Abualigah; Sayel Abualigah; Mothanna Almahmoud; Agostino Forestiero; Gagan Sachdeva; Essam Said Hanandeh (PerSOM, 2022)

A Comparative Study of the Coulomb's and Franklin's Laws Inspired Algorithm (CFA) with Modern Evolutionary Algorithms for Numerical Optimization. - Mojtaba Ghasemi; Mohsen Zare; Amir Zahedi; Rasul Hemmati; Laith Abualigah; Agostino Forestiero (PerSOM, 2022)

A Centralized Strategy for Multi-Agent Exploration. - Faiza Gul; Adnan Mir; Imran Mir; Suleman Mir; Tauqeer Ul Islaam; Laith Abualigah; Agostino Forestiero (IEEE Access, 2022)

An Archive-Based Multi-Objective Arithmetic Optimization Algorithm for Solving Industrial Engineering Problems. - Nima Khodadadi; Laith Abualigah; El-Sayed M. El-Kenawy; Václav Snásel; Seyedali Mirjalili (IEEE Access, 2022)

Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm. - Olaide Nathaniel Oyelade; Absalom El-Shamir Ezugwu; Tehnan I. A. Mohamed; Laith Mohammad Abualigah (IEEE Access, 2022)

A Novel Theoretical and Practical Methodology for Extracting the Parameters of the Single and Double Diode Photovoltaic Models. - Hussein Mohammed Ridha; Hashim Hizam; Seyedali Mirjalili; Mohammad Lutfi Othman; Mohammad Effendy Ya'acob; Laith Mohammad Abualigah (IEEE Access, 2022)

Modified Interactive Algorithm Based on Runge Kutta Optimizer for Photovoltaic Modeling: Justification Under Partial Shading and Varied Temperature Conditions. - Dalia Yousri; Mohammed Mudhsh; Yomna O. Shaker; Laith Mohammad Abualigah; Elsayed Tag-Eldin; Mohamed Abd Elaziz 001; Dalia Allam (IEEE Access, 2022)

Black hole algorithm: A comprehensive survey. - Laith Abualigah; Mohamed Abd Elaziz 001; Putra Sumari; Ahmad M. Khasawneh; Mohammad Alshinwan; Seyedali Mirjalili; Mohammad Shehab; Hayfa Y. Abuaddous; Amir H. Gandomi (Appl. Intell., 2022)

Explore Big Data Analytics Applications and Opportunities: A Review. - Zaher Ali Al-Sai; Mohd Heikal Husin; Sharifah Mashita Syed-Mohamad; Rasha Moh'd Sadeq Abdin; Nour Damer; Laith Abualigah; Amir H. Gandomi (Big Data Cogn. Comput., 2022)

Early Diagnosis of Alzheimer's Disease Using Cerebral Catheter Angiogram Neuroimaging: A Novel Model Based on Deep Learning Approaches. - Maha Gharaibeh; Mothanna Almahmoud; Mostafa Z. Ali; Amer F. Al-Badarneh; Mwaffaq El-Heis; Laith Abualigah; Maryam Altalhi; Ahmad Alaiad 001; Amir H. Gandomi (Big Data Cogn. Comput., 2022)

Radiology Imaging Scans for Early Diagnosis of Kidney Tumors: A Review of Data Analytics-Based Machine Learning and Deep Learning Approaches. - Maha Gharaibeh; Dalia Alzu'bi; Malak Abdullah; Ismail Hmeidi; Mohammad Rustom Al Nasar; Laith Abualigah; Amir H. Gandomi (Big Data Cogn. Comput., 2022)

Performance enhancement of an uncertain nonlinear medical robot with optimal nonlinear robust controller. - Seyedarmin Azizi; Reza Soleimani; Mohsen Ahmadi; Ali Malekan; Laith Abualigah; Fatemeh Dashti Ahangar (Comput. Biol. Medicine, 2022)

Machine learning in medical applications: A review of state-of-the-art methods. - Mohammad Shehab; Laith Abualigah; Qusai Shambour; Muhannad A. Abu-Hashem; Moh'd Khaled Yousef Shambour; Ahmed Izzat Alsalibi; Amir H. Gandomi (Comput. Biol. Medicine, 2022)

An improved chaotic image encryption algorithm using Hadoop-based MapReduce framework for massive remote sensed images in parallel IoT applications. - Mahmoud Ahmad Al-Khasawneh; Irfan Uddin; Syed Atif Ali Shah; Ahmad M. Khasawneh; Laith Mohammad Abualigah; Marwan Mahmoud (Clust. Comput., 2022)

Optimized task scheduling in cloud computing using improved multi-verse optimizer. - Mohammed Otair; Areej Alhmoud; Heming Jia; Maryam Altalhi; Ahmad MohdAziz Hussein; Laith Abualigah (Clust. Comput., 2022)

A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects. - Absalom E. Ezugwu; Abiodun M. Ikotun; Olaide Nathaniel Oyelade; Laith Mohammad Abualigah; Jeffrey O. Agushaka; Christopher Ifeanyi Eke; Andronicus Ayobami Akinyelu (Eng. Appl. Artif. Intell., 2022)

Chaotic binary Group Search Optimizer for feature selection. - Laith Mohammad Abualigah; Ali Diabat (Expert Syst. Appl., 2022)

Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer. - Laith Mohammad Abualigah; Mohamed Abd Elaziz 001; Putra Sumari; Zong Woo Geem; Amir H. Gandomi (Expert Syst. Appl., 2022)

Sine-Cosine-Barnacles Algorithm Optimizer with disruption operator for global optimization and automatic data clustering. - Mohamed Abd Elaziz 001; Ahmed A. Ewees; Mohammed Abdulaziz Aide Al-qaness; Laith Abualigah; Rehab Ali Ibrahim (Expert Syst. Appl., 2022)

Selection scheme sensitivity for a hybrid Salp Swarm Algorithm: analysis and applications. - Laith Mohammad Abualigah; Mohammad Shehab; Ali Diabat; Jacob A. Abraham (Eng. Comput., 2022)

Cooperative multi-function approach: A new strategy for autonomous ground robotics. - Faiza Gul; Imran Mir; Laith Abualigah; Suleman Mir; Maryam Altalhi (Future Gener. Comput. Syst., 2022)

A Novel Text Classification Technique Using Improved Particle Swarm Optimization: A Case Study of Arabic Language. - Yousif A. Alhaj; Abdelghani Dahou; Mohammed Abdulaziz Aide Al-qaness; Laith Abualigah; Aaqif Afzaal Abbasi; Nasser Ahmed Obad Almaweri; Mohamed Abd Elaziz 001; Robertas Damasevicius (Future Internet, 2022)

A machine learning-based weather prediction model and its application on smart irrigation. - Ala' F. Khalifeh; Abdullah AlQammaz; Laith Abualigah; Ahmad M. Khasawneh; Khalid A. Darabkh (J. Intell. Fuzzy Syst., 2022)

Emerging Trends in Blockchain Technology and Applications: A Review and Outlook. - Ahmed G. Gad; Diana T. Mosa; Laith Abualigah; Amr A. Abohany (J. King Saud Univ. Comput. Inf. Sci., 2022)

Implementation of bio-inspired hybrid algorithm with mutation operator for robotic path planning. - Faiza Gul; Imran Mir; Deemah Alarabiat; Hamzeh Mohammad Alabool; Laith Abualigah; Suleman Mir (J. Parallel Distributed Comput., 2022)

Modified marine predators algorithm for feature selection: case study metabolomics. - Mohamed Abd Elaziz 001; Ahmed A. Ewees; Dalia Yousri; Laith Mohammad Abualigah; Mohammed Abdulaziz Aide Al-qaness (Knowl. Inf. Syst., 2022)

Efficient text document clustering approach using multi-search Arithmetic Optimization Algorithm. - Laith Abualigah; Khaled Hatem Almotairi; Mohammed Abdulaziz Aide Al-qaness; Ahmed A. Ewees; Dalia Yousri; Mohamed E. Abd Elaziz; Mohammad H. Nadimi-Shahraki (Knowl. Based Syst., 2022)

Spectral graph theory-based virtual network embedding for vehicular fog computing: A deep reinforcement learning architecture. - Ning Chen 011; Peiying Zhang 001; Neeraj Kumar 001; Ching-Hsien Hsu; Laith Abualigah; Hailong Zhu (Knowl. Based Syst., 2022)

Boosting chameleon swarm algorithm with consumption AEO operator for global optimization and feature selection. - Reham R. Mostafa; Ahmed A. Ewees; Rania M. Ghoniem; Laith Abualigah; Fatma A. Hashim (Knowl. Based Syst., 2022)

Boosting Marine Predators Algorithm by Salp Swarm Algorithm for Multilevel Thresholding Image Segmentation. - Laith Abualigah; Nada Khalil Al-Okbi; Mohamed Abd Elaziz 001; Essam H. Houssein (Multim. Tools Appl., 2022)

Improved linear density technique for segmentation in Arabic handwritten text recognition. - Husam Ahmed Al Hamad; Laith Abualigah; Mohammad Shehab; Khalil H. A. Al-Shqeerat; Mohammed Otair (Multim. Tools Appl., 2022)

Hybrid arithmetic optimization algorithm with hunger games search for global optimization. - Shubham Mahajan; Laith Abualigah; Amit Kant Pandit (Multim. Tools Appl., 2022)

Improved near-lossless technique using the Huffman coding for enhancing the quality of image compression. - Mohammed Otair; Laith Abualigah; Mohammed K. Qawaqzeh (Multim. Tools Appl., 2022)

Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis, and results. - Laith Mohammad Abualigah; Mohamed Abd Elaziz 001; Ahmad M. Khasawneh; Mohammad Alshinwan; Rehab Ali Ibrahim; Mohammed Abdulaziz Aide Al-qaness; Seyedali Mirjalili; Putra Sumari; Amir H. Gandomi (Neural Comput. Appl., 2022)

Dynamic evolutionary data and text document clustering approach using improved Aquila optimizer based arithmetic optimization algorithm and differential evolution. - Laith Abualigah; Khaled Hatem Almotairi (Neural Comput. Appl., 2022)

Boosting arithmetic optimization algorithm by sine cosine algorithm and levy flight distribution for solving engineering optimization problems. - Laith Abualigah; Ahmed A. Ewees; Mohammed Abdulaziz Aide Al-qaness; Mohamed Abd Elaziz 001; Dalia Yousri; Rehab Ali Ibrahim; Maryam Altalhi (Neural Comput. Appl., 2022)

Multiclass feature selection with metaheuristic optimization algorithms: a review. - Olatunji O. Akinola; Absalom E. Ezugwu; Jeffrey O. Agushaka; Raed Abu Zitar; Laith Abualigah (Neural Comput. Appl., 2022)

Improved reptile search algorithm with novel mean transition mechanism for constrained industrial engineering problems. - Khaled Hatem Almotairi; Laith Abualigah (Neural Comput. Appl., 2022)

Development of Lévy flight-based reptile search algorithm with local search ability for power systems engineering design problems. - Serdar Ekinci; Davut Izci; Raed Abu Zitar; Anas Ratib Alsoud; Laith Abualigah (Neural Comput. Appl., 2022)

Prairie Dog Optimization Algorithm. - Absalom E. Ezugwu; Jeffrey O. Agushaka; Laith Abualigah; Seyedali Mirjalili; Amir H. Gandomi (Neural Comput. Appl., 2022)

An efficient equilibrium optimizer with support vector regression for stock market prediction. - Essam H. Houssein; Mahmoud Dirar; Laith Mohammad Abualigah; Waleed M. Mohamed (Neural Comput. Appl., 2022)

Multi-objective Stochastic Paint Optimizer (MOSPO). - Nima Khodadadi; Laith Abualigah; Seyedali Mirjalili (Neural Comput. Appl., 2022)

Chaotic quasi-oppositional arithmetic optimization algorithm for thermo-economic design of a shell and tube condenser running with different refrigerant mixture pairs. - Mert Sinan Turgut; Oguz Emrah Turgut; Laith Abualigah (Neural Comput. Appl., 2022)

Regional analytics and forecasting for most affected stock markets: The case of GCC stock markets during COVID-19 pandemic. - Khalid Alkhatib; Mothanna Almahmoud; Omar Elayan; Laith Abualigah (Int. J. Syst. Assur. Eng. Manag., 2022)

An Efficient 5G Data Plan Approach Based on Partially Distributed Mobility Architecture. - Mohammad Al-Shinwan; Laith Abualigah; Trong-Dinh Huy; Ahmed Younes Shdefat; Maryam Altalhi; Chul-Soo Kim; Shaker H. Ali El-Sappagh; Mohamed Abd Elaziz 001; Kyung Sup Kwak (Sensors, 2022)

Learning Features Using an optimized Artificial Neural Network for Breast Cancer Diagnosis. - Ibrahem Al-Shourbaji; Pramod H. Kachare; Waleed Zogaan; Muhammad Lawan Jibril; Laith Abualigah (SN Comput. Sci., 2022)

Logarithmic spiral search based arithmetic optimization algorithm with selective mechanism and its application to functional electrical stimulation system control. - Serdar Ekinci; Davut Izci; Mohammad Rustom Al Nasar; Raed Abu Zitar; Laith Abualigah (Soft Comput., 2022)

Hybrid Aquila optimizer with arithmetic optimization algorithm for global optimization tasks. - Shubham Mahajan; Laith Abualigah; Amit Kant Pandit; Maryam Altalhi (Soft Comput., 2022)

Fusion of modern meta-heuristic optimization methods using arithmetic optimization algorithm for global optimization tasks. - Shubham Mahajan; Laith Abualigah; Amit Kant Pandit; Mohammad Rustom Al Nasar; Hamzah Ali Alkhazaleh; Maryam Altalhi (Soft Comput., 2022)

An intelligent cybersecurity system for detecting fake news in social media websites. - Ala Mughaid; Shadi AlZu'bi; Ahmed Al-Arjan; Rula Al-Amrat; Rathaa Al-Ajmi; Raed Abu Zitar; Laith Abualigah (Soft Comput., 2022)

Opposition-based learning multi-verse optimizer with disruption operator for optimization problems. - Mohammad Shehab; Laith Abualigah (Soft Comput., 2022)

A Normal Distributed Dwarf Mongoose Optimization Algorithm for Global Optimization and Data Clustering Applications. - Fahd Aldosari; Laith Abualigah; Khaled Hatem Almotairi (Symmetry, 2022)

Hybrid Reptile Search Algorithm and Remora Optimization Algorithm for Optimization Tasks and Data Clustering. - Khaled Hatem Almotairi; Laith Abualigah (Symmetry, 2022)

An Improved Hybrid Swarm Intelligence for Scheduling IoT Application Tasks in the Cloud. - Ibrahim Attiya; Mohamed Abd Elaziz 001; Laith Abualigah; Tu N. Nguyen 001; Ahmed A. Abd El-Latif 001 (IEEE Trans. Ind. Informatics, 2022)

Amended hybrid multi-verse optimizer with genetic algorithm for solving task scheduling problem in cloud computing. - Laith Mohammad Abualigah; Muhammad Alkhrabsheh (J. Supercomput., 2022)

An enhanced Grey Wolf Optimizer based Particle Swarm Optimizer for intrusion detection system in wireless sensor networks. - Mohammed Otair; Osama Talab Ibrahim; Laith Abualigah; Maryam Altalhi; Putra Sumari (Wirel. Networks, 2022)

Evaluating the Applications of Dendritic Neuron Model with Metaheuristic Optimization Algorithms for Crude-Oil-Production Forecasting. - Mohammed Abdulaziz Aide Al-qaness; Ahmed A. Ewees; Laith Abualigah; Ayman Mutahar AlRassas; Hung Vo Thanh; Mohamed Abd Elaziz 001 (Entropy, 2022)

Automatic liver-vessel examination from CT slice using Kapur's thresholding and watershed algorithm. - Seifedine Nimer Kadry; Laith Abualigah; Rubén González Crespo; Elena Verdú; Robertas Damasevicius; Vijendra Singh 001; Venkatesan Rajinikanth (ICMLDE, 2023)

COVID19 detection in chest x-ray using vision-transformer with different patch dimensions. - Seifedine Nimer Kadry; Laith Abualigah; Rubén González Crespo; Elena Verdú; Robertas Damasevicius; Vijendra Singh 001; Venkatesan Rajinikanth (ICMLDE, 2023)

CNN segmentation of skin melanoma in pre-processed dermoscopy images. - Seifedine Nimer Kadry; Elena Verdú; Robertas Damasevicius; Laith Abualigah; Vijendra Singh 001; Venkatesan Rajinikanth (ICMLDE, 2023)

BAOA: Binary Arithmetic Optimization Algorithm With K-Nearest Neighbor Classifier for Feature Selection. - Nima Khodadadi; Ehsan Khodadadi; Qasem Al-Tashi; El-Sayed M. El-Kenawy; Laith Abualigah; Said Jadid Abdulkadir; Alawi Alqushaibi; Seyedali Mirjalili (IEEE Access, 2023)

Preventing Road Accidents Through Early Detection of Driver Behavior Using Smartphone Motion Sensor Data: An Ensemble Feature Engineering Approach. - Ali Raza; Iqra Akhtar; Laith Abualigah; Raed Abu Zitar; Mohamed Abdel Fattah Sharaf; Mohammad Sharif Daoud; Heming Jia (IEEE Access, 2023)

Improved gradual change-based Harris Hawks optimization for real-world engineering design problems. - Laith Abualigah; Ali Diabat; Maryam Altalhi; Mohamed Abd Elaziz 001 (Eng. Comput., 2023)

Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System. - Laith Abualigah; Serdar Ekinci; Davut Izci; Raed Abu Zitar (Intell. Autom. Soft Comput., 2023)

A novel intelligent deep learning predictive model for meteorological drought forecasting. - Ali Danandeh Mehr; Amir Rikhtehgar Ghiasi; Zaher Mundher Yaseen; Ali Unal Sorman; Laith Abualigah (J. Ambient Intell. Humaniz. Comput., 2023)

Autokeras Approach: A Robust Automated Deep Learning Network for Diagnosis Disease Cases in Medical Images. - Ahmad Alaiad 001; Aya Migdady; Ra'ed M. Al-Khatib; Omar Alzoubi; Raed Abu Zitar; Laith Abualigah (J. Imaging, 2023)

The effect of using minimum decreasing technique on enhancing the quality of lossy compressed images. - Mohammed Otair; Osama Abdulraziq Hasan; Laith Abualigah (Multim. Tools Appl., 2023)

Hybrid model of alternating least squares and root polynomial technique for color correction. - Geetanjali Babbar; Rohit Bajaj; Nitin Mittal; Shubham Mahajan; Raed Abu Zitar; Laith Abualigah (Soft Comput., 2023)

Boosting particle swarm optimization by backtracking search algorithm for optimization problems. - Sukanta Nama; Apu Kumar Saha; Sanjoy Chakraborty; Amir H. Gandomi; Laith Abualigah (Swarm Evol. Comput., 2023)

Improving clinical documentation: automatic inference of ICD-10 codes from patient notes using BERT model. - Emran Al-Bashabsheh; Ahmad Alaiad 001; Mahmoud Al-Ayyoub; Othman Beni-Yonis; Raed Abu Zitar; Laith Abualigah (J. Supercomput., 2023)

Internet of Things and Cloud Convergence for eHealth Systems: Concepts, Opportunities, and Challenges. - Arif Ullah; Hanane Aznaoui; Dorsaf Sebai; Laith Abualigah; Tanweer Alam; Aziza Chakir (Wirel. Pers. Commun., 2023)

A MOOC-Based Hybrid Teaching Model of College English. - Tan Feng; Laith Abualigah (Int. J. Emerg. Technol. Learn., 2023)

A multi-strategy enhanced African vultures optimization algorithm for global optimization problems. - Rong Zheng; Abdelazim G. Hussien; Raneem Qaddoura; Heming Jia; Laith Abualigah; Shuang Wang 013; Abeer Saber (J. Comput. Des. Eng., 2023)

An effective control design approach based on novel enhanced aquila optimizer for automatic voltage regulator. - Serdar Ekinci; Davut Izci; Erdal Eker; Laith Abualigah (Artif. Intell. Rev., 2023)

Diabetes Monitoring System in Smart Health Cities Based on Big Data Intelligence. - Shadi AlZu'bi; Mohammad W. Elbes; Ala Mughaid; Noor Bdair; Laith Abualigah; Agostino Forestiero; Raed Abu Zitar (Future Internet, 2023)

Improved slime mould algorithm by opposition-based learning and Levy flight distribution for global optimization and advances in real-world engineering problems. - Laith Abualigah; Ali Diabat; Mohamed Abd Elaziz 001 (J. Ambient Intell. Humaniz. Comput., 2023)

Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer. - Jeffrey O. Agushaka; Absalom E. Ezugwu; Laith Abualigah (Neural Comput. Appl., 2023)

Enhanced feature selection technique using slime mould algorithm: a case study on chemical data. - Ahmed A. Ewees; Mohammed Abdulaziz Aide Al-qaness; Laith Abualigah; Zakariya Yahya Algamal; Diego Oliva; Dalia Yousri; Mohamed Abd Elaziz 001 (Neural Comput. Appl., 2023)

AOEHO: A New Hybrid Data Replication Method in Fog Computing for IoT Application. - Ahmed Awad Mohamed; Laith Abualigah; Alhanouf Alburaikan; Hamiden Abd El-Wahed Khalifa (Sensors, 2023)

Big Data Maturity Assessment Models: A Systematic Literature Review. - Zaher Ali Al-Sai; Mohd Heikal Husin; Sharifah Mashita Syed-Mohamad; Rosni Abdullah; Raed Abu Zitar; Laith Abualigah; Amir H. Gandomi (Big Data Cogn. Comput., 2023)

Impact of Artificial Intelligence on COVID-19 Pandemic: A Survey of Image Processing, Tracking of Disease, Prediction of Outcomes, and Computational Medicine. - Khaled Hatem Almotairi; Ahmad MohdAziz Hussein; Laith Abualigah; Sohaib K. M. Abujayyab; Emad Hamdi Mahmoud; Bassam Omar Ghanem; Amir H. Gandomi (Big Data Cogn. Comput., 2023)

Correction to: Multiclass feature selection with metaheuristic optimization algorithms: a review. - Olatunji O. Akinola; Absalom E. Ezugwu; Jeffrey O. Agushaka; Raed Abu Zitar; Laith Abualigah (Neural Comput. Appl., 2023)

Robust flight control system design of a fixed wing UAV using optimal dynamic programming. - Adnan Fayyaz Ud Din; Imran Mir; Faiza Gul; Suleman Mir; Syed Sahal Nazli Alhady; Mohammad Rustom Al Nasar; Hamzah Ali Alkhazaleh; Laith Abualigah (Soft Comput., 2023)

Triangular mutation-based manta-ray foraging optimization and orthogonal learning for global optimization and engineering problems. - Mohamed Abd Elaziz 001; Laith Abualigah; Ahmed A. Ewees; Mohammed Abdulaziz Aide Al-qaness; Reham R. Mostafa; Dalia Yousri; Rehab Ali Ibrahim (Appl. Intell., 2023)

K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data. - Abiodun M. Ikotun; Absalom E. Ezugwu; Laith Abualigah; Belal Abuhaija; Heming Jia (Inf. Sci., 2023)

Improved multi-core arithmetic optimization algorithm-based ensemble mutation for multidisciplinary applications. - Laith Abualigah; Ali Diabat (J. Intell. Manuf., 2023)

Improved dropping attacks detecting system in 5g networks using machine learning and deep learning approaches. - Ala Mughaid; Shadi AlZu'bi; Asma Alnajjar; Esraa AbuElsoud; Subhieh El-Salhi; Bashar Igried; Laith Abualigah (Multim. Tools Appl., 2023)

Correction to: Improved dropping attacks detecting system in 5g networks using machine learning and deep learning approaches. - Ala Mughaid; Shadi AlZu'bi; Asma Alnajjar; Esraa AbuElsoud; Subhieh El-Salhi; Bashar Igried; Laith Abualigah (Multim. Tools Appl., 2023)

Velocity pausing particle swarm optimization: a novel variant for global optimization. - Tareq M. Shami; Seyedali Mirjalili; Yasser F. Al-Eryani; Khadija Daoudi; Saadat Izadi; Laith Abualigah (Neural Comput. Appl., 2023)

Repulsion-based grey wolf optimizer with improved exploration and exploitation capabilities to localize sensor nodes in 3D wireless sensor network. - Hayfa Y. Abuaddous; Goldendeep Kaur; Kiran Jyoti; Nitin Mittal; Shubham Mahajan; Amit Kant Pandit; Anas Ratib Alsoud; Laith Abualigah (Soft Comput., 2023)

Foreign exchange forecasting and portfolio optimization strategy based on hybrid-molecular differential evolution algorithms. - Xuecong Zhang; Chen Zhong; Laith Abualigah (Soft Comput., 2023)

Multilevel thresholding image segmentation using meta-heuristic optimization algorithms: comparative analysis, open challenges and new trends. - Laith Abualigah; Khaled Hatem Almotairi; Mohamed Abd Elaziz 001 (Appl. Intell., 2023)

Conglomeration of Reptile Search Algorithm and Differential Evolution Algorithm for Optimal Designing of FIR Filter. - Sumika Chauhan; Govind Vashishtha; Anil Kumar 005; Laith Abualigah (Circuits Syst. Signal Process., 2023)

Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem. - Raed Abu Zitar; Laith Abualigah; Frédéric Barbaresco; Amal El Fallah Seghrouchni (Neural Comput. Appl., 2023)

A novel hybrid arithmetic optimization algorithm and salp swarm algorithm for data placement in cloud computing. - Ahmed Awad Mohamed; Ashraf D. Abdellatif; Alhanouf Alburaikan; Hamiden Abd El-Wahed Khalifa; Mohamed E. Abd Elaziz; Laith Abualigah; Ahmed M. AbdelMouty (Soft Comput., 2023)

Multi-agent robotics system with whale optimizer as a multi-objective problem. - Faiza Gul; Imran Mir; Suleman Mir; Laith Abualigah (J. Ambient Intell. Humaniz. Comput., 2023)

Review and analysis for the Red Deer Algorithm. - Raed Abu Zitar; Laith Abualigah; Nidal A. Al-Dmour (J. Ambient Intell. Humaniz. Comput., 2023)

Multi-strategy Remora Optimization Algorithm for solving multi-extremum problems. - Heming Jia; Yongchao Li; Di Wu; Honghua Rao; Changsheng Wen; Laith Abualigah (J. Comput. Des. Eng., 2023)

An Improved Reptile Search Algorithm with Ghost Opposition-based Learning for Global Optimization Problems. - Heming Jia; Chenghao Lu; Di Wu; Changsheng Wen; Honghua Rao; Laith Abualigah (J. Comput. Des. Eng., 2023)

A novel machine learning and face recognition technique for fake accounts detection system on cyber social networks. - Ala Mughaid; Ibrahim Obeidat; Shadi AlZu'bi; Esraa Abu Elsoud; Asma Alnajjar; Anas Ratib Alsoud; Laith Abualigah (Multim. Tools Appl., 2023)

Multi-objective chaos game optimization. - Nima Khodadadi; Laith Abualigah; Qasem Al-Tashi; Seyedali Mirjalili (Neural Comput. Appl., 2023)

DETDO: An adaptive hybrid dandelion optimizer for engineering optimization. - Gang Hu 002; Yixuan Zheng; Laith Abualigah; Abdelazim G. Hussien (Adv. Eng. Informatics, 2023)

Boosted Harris Hawks gravitational force algorithm for global optimization and industrial engineering problems. - Laith Abualigah; Ali Diabat; Davor Svetinovic; Mohamed Abd Elaziz 001 (J. Intell. Manuf., 2023)

An enhanced donkey and smuggler optimization algorithm for choosing the precise job applicant. - Nazir M. Hasan; Tarik A. Rashid; Abeer Alsadoon; Ahmed S. Qosaeri; Laith Abualigah; Zaher Mundher Yaseen (Iran J. Comput. Sci., 2023)

An intelligent tuning scheme with a master/slave approach for efficient control of the automatic voltage regulator. - Davut Izci; Serdar Ekinci; Seyedali Mirjalili; Laith Abualigah (Neural Comput. Appl., 2023)

Genghis Khan shark optimizer: A novel nature-inspired algorithm for engineering optimization. - Gang Hu 002; Yuxuan Guo; Guo Wei 004; Laith Abualigah (Adv. Eng. Informatics, 2023)

A chimp-inspired remora optimization algorithm for multilevel thresholding image segmentation using cross entropy. - Qingxin Liu; Ni Li; Heming Jia; Qi Qi 004; Laith Abualigah (Artif. Intell. Rev., 2023)

TrustDL: Use of trust-based dictionary learning to facilitate recommendation in social networks. - Navid Khaledian; Amin Nazari; Keyhan Khamforoosh; Laith Abualigah; Danial Javaheri (Expert Syst. Appl., 2023)

Chaotic binary reptile search algorithm and its feature selection applications. - Laith Abualigah; Ali Diabat (J. Ambient Intell. Humaniz. Comput., 2023)

Fractional-order chaotic oscillator-based Aquila optimization algorithm for maximization of the chaotic with Lorentz oscillator. - Yakup Cavlak; Abdullah Ates; Laith Abualigah; Mohamed Abd Elaziz 001 (Neural Comput. Appl., 2023)

Dimensionality reduction approach based on modified hunger games search: case study on Parkinson's disease phonation. - Fatma A. Hashim; Nabil Neggaz; Reham R. Mostafa; Laith Abualigah; Robertas Damasevicius; Abdelazim G. Hussien (Neural Comput. Appl., 2023)

Revolutionizing sustainable supply chain management: A review of metaheuristics. - Laith Abualigah; Essam Said Hanandeh; Raed Abu Zitar; Thanh Cuong-Le; Samir Khatir; Amir H. Gandomi (Eng. Appl. Artif. Intell., 2023)

Improve coati optimization algorithm for solving constrained engineering optimization problems. - Heming Jia; Shengzhao Shi; Di Wu; Honghua Rao; Jinrui Zhang; Laith Abualigah (J. Comput. Des. Eng., 2023)

Modified beluga whale optimization with multi-strategies for solving engineering problems. - Heming Jia; Qixian Wen; Di Wu; Zhuo Wang; Yuhao Wang; Changsheng Wen; Laith Abualigah (J. Comput. Des. Eng., 2023)

Improved snow ablation optimizer with heat transfer and condensation strategy for global optimization problem. - Heming Jia; Fangkai You; Di Wu; Honghua Rao; Hangqu Wu; Laith Abualigah (J. Comput. Des. Eng., 2023)

Artificial Ecosystem-Based Optimization with Dwarf Mongoose Optimization for Feature Selection and Global Optimization Problems. - Ibrahem Al-Shourbaji; Pramod H. Kachare; Sajid Fadlelseed; Abdoh M. A. Jabbari; Abdelazim G. Hussien; Faisal Al-Saqqar; Laith Abualigah; Abdalla Alameen (Int. J. Comput. Intell. Syst., 2023)

Revolutionizing Vehicle Cruise Control: An Elite Opposition-Based Pattern Search Mechanism Augmented INFO Algorithm for Enhanced Controller Design. - Serdar Ekinci; Davut Izci; Laith Abualigah; Abdelazim G. Hussien; Thanh Cuong-Le; Samir Khatir (Int. J. Comput. Intell. Syst., 2023)

Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering. - Laith Abualigah; Mohamed Abd El Aziz 001; Dalia Yousri; Mohammed Abdulaziz Aide Al-qaness; Ahmed A. Ewees; Raed Abu Zitar (J. Intell. Manuf., 2023)

A Sinh Cosh optimizer. - Jianfu Bai; Yifei Li; Mingpo Zheng; Samir Khatir; Brahim Benaissa; Laith Abualigah; Magd Abdel Wahab (Knowl. Based Syst., 2023)

Investigating the cyberbullying risk in digital media: protecting victims in school teenagers. - Ibrahim Obaidat; Aseel Al-zou'bi; Ala Mughaid; Laith Abualigah (Soc. Netw. Anal. Min., 2023)

Boosting salp swarm algorithm by opposition-based learning concept and sine cosine algorithm for engineering design problems. - Sumika Chauhan; Govind Vashishtha; Laith Abualigah; Anil Kumar 005 (Soft Comput., 2023)

Enhancing Parkinson's Disease Diagnosis Through Stacking Ensemble-Based Machine Learning Approach. - Riyadh M. Al-Tam; Fatma A. Hashim; Sarmad Maqsood; Laith Abualigah; Reem M. Alwhaibi (IEEE Access, 2024)

Advances in Henry Gas Solubility Optimization: A Physics-Inspired Metaheuristic Algorithm With Its Variants and Applications. - Mohammed A. El-Shorbagy; Anas Bouaouda; Hossam A. Nabwey; Laith Abualigah; Fatma A. Hashim (IEEE Access, 2024)

Corrections to "Advances in Henry Gas Solubility Optimization: A Physics-Inspired Metaheuristic Algorithm With Its Variants and Applications". - Mohammed A. El-Shorbagy; Anas Bouaouda; Hossam A. Nabwey; Laith Abualigah; Fatma A. Hashim (IEEE Access, 2024)

Novel Transfer Learning Approach for Driver Drowsiness Detection Using Eye Movement Behavior. - Hamza Ahmad Madni; Ali Raza; Rukhshanda Sehar; Nisrean Thalji; Laith Abualigah (IEEE Access, 2024)

Novel Meta Learning Approach for Detecting Postpartum Depression Disorder Using Questionnaire Data. - Shazia Nasim; Ahmad Sami Al-Shamayleh; Nisrean Thalji; Ali Raza; Laith Abualigah; Ahmed Ibrahim Alzahrani 001; Ayed Alwadain; Deema Mohammed Alsekait; Hazem Migdady; Diaa Salama Abd Elminaam (IEEE Access, 2024)

A Hybrid Best-Worst Method (BWM) - Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) Approach for Prioritizing Road Safety Improvements. - Priyank Trivedi; Jiten Shah; Robert Cep; Laith Abualigah; Kanak Kalita (IEEE Access, 2024)

SDO: A novel sled dog-inspired optimizer for solving engineering problems. - Gang Hu 002; Mao Cheng; Essam H. Houssein; Abdelazim G. Hussien; Laith Abualigah (Adv. Eng. Informatics, 2024)

Ameliorated Golden jackal optimization (AGJO) with enhanced movement and multi-angle position updating strategy for solving engineering problems. - Jianfu Bai; Samir Khatir; Laith Abualigah; Magd Abdel Wahab (Adv. Eng. Softw., 2024)

Spline magnitude disparity cross correlated deep network for gait recognition. - Deepak Kumar Jain 001; Manoj Kumar 009; Laith Abualigah (Artif. Intell. Rev., 2024)

Unveiling the Many-Objective Dragonfly Algorithm's (MaODA) efficacy in complex optimization. - Kanak Kalita; Pradeep Jangir; Sundaram B. Pandya; G. Shanmugasundar; Laith Abualigah (Evol. Intell., 2024)

ICSOMPA: A novel improved hybrid algorithm for global optimisation. - Usman Mohammed; Tologon Karataev; Omotayo Oshiga; Oghenewvogaga Oghorada; Steve A. Adeshina; Suleiman U. Hussein; Laith Abualigah; Ahmadu Galadima; Dayyabu Abubakar; Jaafaru Sanusi (Evol. Intell., 2024)

Nature-inspired metaheuristic algorithms: a comprehensive review. - Mohammad Shehab; Rami Sihwail; Mohammad Sharif Daoud; Hani Mahmoud Almimi; Laith Abualigah (Int. Arab J. Inf. Technol., 2024)

An optimized meta-heuristic clustering-based routing scheme for secured wireless sensor networks. - G. Kiran Kumar; S. K. Prashanth; E. Padmalatha; M. Venkata Krishna Reddy; N. Rama Devi; Laith Abualigah; Premkumar Chithaluru; Manoj Kumar 009 (Int. J. Commun. Syst., 2024)

Optimizing energy-efficient data replication for IoT applications in fog computing. - Ahmed Awad Mohamed; Ali Diabat; Laith Abualigah (Int. J. Commun. Syst., 2024)

An enhanced bio-inspired energy-efficient localization routing for mobile wireless sensor network. - Sridevi Tumula; N. Rama Devi; Y. Rama Devi; E. Padmalatha; Ravi Uyyala; Laith Abualigah; Premkumar Chithaluru; Manoj Kumar 009 (Int. J. Commun. Syst., 2024)

An opportunistic energy-efficient dynamic self-configuration clustering algorithm in WSN-based IoT networks. - Sridevi Tumula; Y. Rama Devi; E. Padmalatha; G. Kiran Kumar; M. Venu Gopalachari; Laith Abualigah; Premkumar Chithaluru; Manoj Kumar 009 (Int. J. Commun. Syst., 2024)

Intelligent Interconnected Healthcare System: Integrating IoT and Big Data for Personalized Patient Care. - Ahmed Abatal; Mourad Mzili; Toufik Mzili; Khaoula Cherrat; Asmae Yassine; Laith Abualigah (Int. J. Online Biomed. Eng., 2024)

Hybrid Classification Approach Utilizing DenseUNet+ for Diabetic Macular Edema Disorder Detection. - Laith Abualigah; Mohammad H. Almomani; Raed Abu Zitar; Mohammad Sh. Daoud; Hazem Migdady; Amer Al-Rahayfeh (Int. J. Online Biomed. Eng., 2024)

Quantum Chimp Optimization Algorithm: A Novel Integration of Quantum Mechanics Into the Chimp Optimization Framework for Enhanced Performance. - Meng Yu; Mohammad Khishe; Leren Qian; Diego Martín 001; Laith Abualigah; Taher M. Ghazal (J. Artif. Intell. Soft Comput. Res., 2024)

Many-objective artificial hummingbird algorithm: an effective many-objective algorithm for engineering design problems. - Kanak Kalita; Pradeep Jangir; Sundaram B. Pandya; Robert Cep; Laith Abualigah; Hazem Migdady; Mohammad Sharif Daoud (J. Comput. Des. Eng., 2024)

Evolving chimp optimization algorithm using quantum mechanism for engineering applications: a case study on fire detection. - Ziyang Zhang; Mohammad Khishe; Leren Qian; Diego Martín 001; Laith Abualigah; Taher M. Ghazal (J. Comput. Des. Eng., 2024)

Jordanian banknote data recognition: A CNN-based approach with attention mechanism. - Ahmad Nasayreh; Ameera Saleh Jaradat; Hasan Gharaibeh; Waed Dawaghreh; Rabia Mehamad Al Mamlook; Yaqeen Alqudah; Qais Al-Na'amneh; Mohammad Sh. Daoud; Hazem Migdady; Laith Abualigah (J. King Saud Univ. Comput. Inf. Sci., 2024)

An improved Genghis Khan optimizer based on enhanced solution quality strategy for global optimization and feature selection problems. - Mahmoud Abdel-Salam; Ahmed Ibrahim Alzahrani 001; Fahad Alblehai; Raed Abu Zitar; Laith Abualigah (Knowl. Based Syst., 2024)

A novel multi-objective wrapper-based feature selection method using quantum-inspired and swarm intelligence techniques. - Djaafar Zouache; Adel Got; Deemah Alarabiat; Laith Abualigah; El-Ghazali Talbi (Multim. Tools Appl., 2024)

Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization. - Raed Abu Zitar; Esra Alhadhrami; Laith Abualigah; Frédéric Barbaresco; Amal El Fallah Seghrouchni (Neural Comput. Appl., 2024)

Improved synergistic swarm optimization algorithm to optimize task scheduling problems in cloud computing. - Laith Abualigah; Ahmad MohdAziz Hussein; Mohammad H. Almomani; Raed Abu Zitar; Hazem Migdady; Ahmed Ibrahim Alzahrani 001; Ayed Alwadain (Sustain. Comput. Informatics Syst., 2024)

Optimizing risk mitigation: A simulation-based model for detecting fake IoT clients in smart city environments. - Mahmoud AlJamal; Ala Mughaid; Bashar Al-Shboul; Hani Bani-Salameh; Shadi AlZu'bi; Laith Abualigah (Sustain. Comput. Informatics Syst., 2024)

Energy Allocation for Vehicle-to-Grid Settings: A Low-Cost Proposal Combining DRL and VNE. - Peiying Zhang 001; Ning Chen 011; Neeraj Kumar 001; Laith Abualigah; Mohsen Guizani; Youxiang Duan; Jian Wang 010; Sheng Wu 001 (IEEE Trans. Sustain. Comput., 2024)

Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology. - Mohamed Abd Elaziz 001; Mohammed Abdulaziz Aide Al-qaness; Abdelghani Dahou; Saeed Hamood Alsamhi; Laith Abualigah; Rehab Ali Ibrahim; Ahmed A. Ewees (WIREs Data. Mining. Knowl. Discov., 2024)

An energy-efficient and deadline-aware workflow scheduling algorithm in the fog and cloud environment. - Navid Khaledian; Keyhan Khamforoosh; Reza Akraminejad; Laith Abualigah; Danial Javaheri (Computing, 2024)

A novel generalized normal distribution arithmetic optimization algorithm for global optimization and data clustering problems. - Laith Abualigah; Maryam Altalhi (J. Ambient Intell. Humaniz. Comput., 2024)

Enhancing the quality of compressed images using rounding intensity followed by novel dividing technique. - Mohammed Otair; Amer F. Alrawi; Laith Abualigah; Heming Jia; Maryam Altalhi (Multim. Tools Appl., 2024)

Correction to: Fractional-order chaotic oscillator-based Aquila optimization algorithm for maximization of the chaotic with Lorentz oscillator. - Yakup Cavlak; Abdullah Ates; Laith Abualigah; Mohamed Abd Elaziz 001 (Neural Comput. Appl., 2024)

Improved Black Widow Optimization: An investigation into enhancing cloud task scheduling efficiency. - Muhannad A. Abu-Hashem; Mohammad Shehab; Moh'd Khaled Yousef Shambour; Mohammad Sh. Daoud; Laith Abualigah (Sustain. Comput. Informatics Syst., 2024)

Improving word similarity computation accuracy by multiple parameter optimization based on ontology knowledge. - Qifeng Sun; Jiayue Xu; Youxiang Duan; Peiying Zhang 001; Nan Jiang; Anas Ratib Alsoud; Laith Abualigah (Multim. Tools Appl., 2024)

Fractional-order modified heterogeneous comprehensive learning particle swarm optimizer for intelligent disease detection in IoMT environment. - Mohamed E. Abd Elaziz; Dalia Yousri; Ahmad O. Aseeri; Laith Abualigah; Mohammed Abdulaziz Aide Al-qaness; Ahmed A. Ewees (Swarm Evol. Comput., 2024)

Hybrid Enhanced Optimization-Based Intelligent Task Scheduling for Sustainable Edge Computing. - Mohamed Abd Elaziz 001; Ibrahim Attiya; Laith Abualigah; Muddesar Iqbal; Amjad Ali 002; Ala I. Al-Fuqaha; Shaker H. Ali El-Sappagh (IEEE Trans. Consumer Electron., 2024)

Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis. - Celal Cakiroglu; Sercan Demir; Mehmet Hakan Ozdemir; Batin Latif Aylak; Gencay Sariisik; Laith Abualigah (Expert Syst. Appl., 2024)

Boosting aquila optimizer by marine predators algorithm for combinatorial optimization. - Shuang Wang 013; Heming Jia; Abdelazim G. Hussien; Laith Abualigah; Guanjun Lin; Hongwei Wei; Zhenheng Lin; Krishna Gopal Dhal (J. Comput. Des. Eng., 2024)

Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems. - Laith Abualigah; Diego Oliva; Heming Jia; Faiza Gul; Nima Khodadadi; Abdelazim G. Hussien; Mohammad Al-Shinwan; Absalom E. Ezugwu; Belal Abuhaija; Raed Abu Zitar (Multim. Tools Appl., 2024)

A guided epsilon-dominance arithmetic optimization algorithm for effective multi-objective optimization in engineering design problems. - Djaafar Zouache; Laith Abualigah; Farid Boumaza (Multim. Tools Appl., 2024)

Arabic Sentiment Analysis for ChatGPT Using Machine Learning Classification Algorithms: A Hyperparameter Optimization Technique. - Ahmad Nasayreh; Rabia Emhamed Al Mamlook; Ghassan Samara; Hasan Gharaibeh; Mohammad Aljaidi; Dalia Alzu'bi; Essam Al Daoud; Laith Abualigah (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Load balancing strategy for SDN multi-controller clusters based on load prediction. - Junbi Xiao; Xingjian Pan; Jianhang Liu; Jian Wang 010; Peiying Zhang 001; Laith Abualigah (J. Supercomput., 2024)

Correction to: Load balancing strategy for SDN multi-controller clusters based on load prediction. - Junbi Xiao; Xingjian Pan; Jianhang Liu; Jian Wang 010; Peiying Zhang 001; Laith Abualigah (J. Supercomput., 2024)

Improve Harris Hawkes optimizer algorithm via Laplace crossover. - Seyed Taha Mousavi Nasab; Laith Abualigah (J. Ambient Intell. Humaniz. Comput., 2024)

A novel secure cryptography model for data transmission based on Rotor64 technique. - Ibrahim Obeidat; Ala Mughaid; Shadi AlZu'bi; Ahmed Al-Arjan; Rula Al-Amrat; Rathaa Al-Ajmi; Razan Al-Hayajneh; Belal Abuhaija; Laith Abualigah (Multim. Tools Appl., 2024)

Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images. - Mohammad Otair; Laith Abualigah; Saif Tawfiq; Mohammad Alshinwan; Absalom E. Ezugwu; Raed Abu Zitar; Putra Sumari (Multim. Tools Appl., 2024)

An optimal task scheduling method in IoT-Fog-Cloud network using multi-objective moth-flame algorithm. - Taybeh Salehnia; Ali Seyfollahi; Saeid Raziani; Azad Noori; Ali Ghaffari; Anas Ratib Alsoud; Laith Abualigah (Multim. Tools Appl., 2024)

The non-monopolize search (NO): a novel single-based local search optimization algorithm. - Laith Abualigah; Mohammed Abdulaziz Aide Al-qaness; Mohamed E. Abd Elaziz; Ahmed A. Ewees; Diego Oliva; Thanh Cuong-Le (Neural Comput. Appl., 2024)

Modified crayfish optimization algorithm for solving multiple engineering application problems. - Heming Jia; Xuelian Zhou; Jinrui Zhang; Laith Abualigah; Ali Riza Yildiz; Abdelazim G. Hussien (Artif. Intell. Rev., 2024)

Hunger games pattern search with elite opposite-based solution for solving complex engineering design problems. - Serdar Ekinci; Davut Izci; Erdal Eker; Laith Abualigah; Thanh Cuong-Le; Samir Khatir (Evol. Syst., 2024)

Intelligent cybersecurity approach for data protection in cloud computing based Internet of Things. - Ala Mughaid; Ibrahim Obeidat; Laith Abualigah; Shadi AlZu'bi; Mohammad Sh. Daoud; Hazem Migdady (Int. J. Inf. Sec., 2024)

Modified Aquila Optimizer Feature Selection Approach and Support Vector Machine Classifier for Intrusion Detection System. - Laith Abualigah; Saba Hussein Ahmed; Mohammad H. Almomani; Raed Abu Zitar; Anas Ratib Alsoud; Belal Abuhaija; Essam Said Hanandeh; Heming Jia; Diaa Salama Abd Elminaam; Mohamed Abd Elaziz 001 (Multim. Tools Appl., 2024)

Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning. - Benyamin Abdollahzadeh; Nima Khodadadi; Saeid Barshandeh; Pavel Trojovský; Farhad Soleimanian Gharehchopogh; El-Sayed M. El-Kenawy; Laith Abualigah; Seyedali Mirjalili (Clust. Comput., 2024)

GIJA:Enhanced geyser-inspired Jaya algorithm for task scheduling optimization in cloud computing. - Laith Abualigah; Ahmad MohdAziz Hussein; Mohammad H. Almomani; Raed Abu Zitar; Mohammad Sh. Daoud; Hazem Migdady; Ahmed Ibrahim Alzahrani 001; Ayed Alwadain (Trans. Emerg. Telecommun. Technol., 2024)

An intelligent healthcare monitoring system-based novel deep learning approach for detecting covid-19 from x-rays images. - Shadi AlZu'bi; Amjed Zreiqat; Worood Radi; Ala Mughaid; Laith Abualigah (Multim. Tools Appl., 2024)

Enhanced prairie dog optimization with Levy flight and dynamic opposition-based learning for global optimization and engineering design problems. - Saptadeep Biswas; Azharuddin Shaikh; Absalom El-Shamir Ezugwu; Japie Greeff; Seyedali Mirjalili; Uttam Kumar Bera; Laith Abualigah (Neural Comput. Appl., 2024)

Classification model for reducing absenteeism of nurses at hospitals using machine learning and artificial neural network techniques. - Dalia Alzu'bi; Mwaffaq El-Heis; Anas Ratib Alsoud; Mothanna Almahmoud; Laith Abualigah (Int. J. Syst. Assur. Eng. Manag., 2024)

Leveraging quantum-inspired chimp optimization and deep neural networks for enhanced profit forecasting in financial accounting systems. - Lin Zhang; Shtwai Alsubai; Abdullah Alqahtani 001; Abed Alanazi; Laith Abualigah (Expert Syst. J. Knowl. Eng., 2024)

Boosted Aquila Arithmetic Optimization Algorithm for multi-level thresholding image segmentation. - Laith Abualigah; Nada Khalil Al-Okbi; Emad Mahrous Awwad; Mohamed Sharaf 001; Mohammad Sh. Daoud (Evol. Syst., 2024)

Correction: Boosted Aquila Arithmetic Optimization Algorithm for multi-level thresholding image segmentation. - Laith Abualigah; Nada Khalil Al-Okbi; Emad Mahrous Awwad; Mohamed Sharaf 001; Mohammad Sh. Daoud (Evol. Syst., 2024)

A Hybrid Strategy for Reduction in Time Consumption for Cloud Datacenter Using HMBC Algorithm. - Arif Ullah; Tanweer Alam; Aziza Chakir; Dorsaf Sebai; Laith Abualigah (Wirel. Pers. Commun., 2024)

Guest Editorial: Exploring Fuzzy Systems and Systems of Knowledge in the New Generation of Technological Innovations. - Peiying Zhang 001; Mohsen Guizani; Laith Abualigah; Alireza Goli (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2024)

Flood algorithm (FLA): an efficient inspired meta-heuristic for engineering optimization. - Mojtaba Ghasemi; Keyvan Golalipour; Mohsen Zare; Seyedali Mirjalili; Pavel Trojovský; Laith Abualigah; Rasul Hemmati (J. Supercomput., 2024)

A review of Artificial Intelligence methods in bladder cancer: segmentation, classification, and detection. - Ayah Bashkami; Ahmad Nasayreh; Sharif Naser Makhadmeh; Hasan Gharaibeh; Ahmed Ibrahim Alzahrani 001; Ayed Alwadain; He-Ming Jia; Absalom E. Ezugwu; Laith Abualigah (Artif. Intell. Rev., 2024)

Many-Objective Grasshopper Optimization Algorithm (MaOGOA): A New Many-Objective Optimization Technique for Solving Engineering Design Problems. - Kanak Kalita; Pradeep Jangir; Robert Cep; Sundaram B. Pandya; Laith Abualigah (Int. J. Comput. Intell. Syst., 2024)

Many-Objective Whale Optimization Algorithm for Engineering Design and Large-Scale Many-Objective Optimization Problems. - Kanak Kalita; Janjhyam Venkata Naga Ramesh; Robert Cep; Pradeep Jangir; Sundaram B. Pandya; Ranjan Kumar Ghadai; Laith Abualigah (Int. J. Comput. Intell. Syst., 2024)

Multi-objective Snow Ablation Optimization Algorithm: An Elementary Vision for Security-Constrained Optimal Power Flow Problem Incorporating Wind Energy Source with FACTS Devices. - Sundaram B. Pandya; Kanak Kalita; Robert Cep; Pradeep Jangir; Jasgurpreet Singh Chohan; Laith Abualigah (Int. J. Comput. Intell. Syst., 2024)

Multi-objective Geometric Mean Optimizer (MOGMO): A Novel Metaphor-Free Population-Based Math-Inspired Multi-objective Algorithm. - Sundaram B. Pandya; Kanak Kalita; Pradeep Jangir; Ranjan Kumar Ghadai; Laith Abualigah (Int. J. Comput. Intell. Syst., 2024)

Correction to: Multi-objective Geometric Mean Optimizer (MOGMO): A Novel Metaphor-Free Population-Based Math-Inspired Multi-objective Algorithm. - Sundaram B. Pandya; Kanak Kalita; Pradeep Jangir; Ranjan Kumar Ghadai; Laith Abualigah (Int. J. Comput. Intell. Syst., 2024)

A Novel Deep Learning Approach for Forecasting Myocardial Infarction Occurrences with Time Series Patient Data. - Mohammad Saiduzzaman Sayed; Mohammad Abu Tareq Rony; Mohammad Shariful Islam; Ali Raza; Sawsan Tabassum; Mohammad Sh. Daoud; Hazem Migdady; Laith Abualigah (J. Medical Syst., 2024)

Adaptive aquila optimizer for centralized mapping and exploration. - Faiza Gul; Imran Mir; Laith Abualigah (Pattern Anal. Appl., 2024)

Fake news detection using recurrent neural network based on bidirectional LSTM and GloVe. - Laith Abualigah; Yazan Yehia Al-Ajlouni; Mohammad Sh. Daoud; Maryam Altalhi; Hazem Migdady (Soc. Netw. Anal. Min., 2024)

Arabic sentiment analysis of Monkeypox using deep neural network and optimized hyperparameters of machine learning algorithms. - Hasan Gharaibeh; Rabia Emhamed Al Mamlook; Ghassan Samara; Ahmad Nasayreh; Saja Smadi; Khalid M. O. Nahar; Mohammad Aljaidi; Essam Al Daoud; Mohammad A. Gharaibeh; Laith Abualigah (Soc. Netw. Anal. Min., 2024)

An enhanced Walrus Optimizer with opposition-based learning and mutation strategy for data clustering. - Laith Abualigah; Saleh Ali Alomari; Mohammad H. Almomani; Raed Abu Zitar; Hazem Migdady; Kashif Saleem; Aseel Smerat; Václav Snásel; Absalom E. Ezugwu (Array, 2025)

An environmental remote sensing and prediction model for an IoT smart irrigation system based on an enhanced wind-driven optimization algorithm. - Ala' F. Khalifeh; Abdullah AlQammaz; Ahmad M. Khasawneh; Laith Abualigah; Khalid A. Darabkh; Zinon Zinonos (Comput. Electr. Eng., 2025)

Enhancements of evidential c-means algorithms: A clustering framework via feature-weight learning. - Zhe Liu 041; Haoye Qiu; Tapan Senapati; Mingwei Lin; Laith Abualigah; Muhammet Deveci (Expert Syst. Appl., 2025)

Optimizing Intrusion Detection in Wireless Sensor Networks via the Improved Chameleon Swarm Algorithm for Feature Selection. - Laith Abualigah; Mohammad H. Almomani; Saleh Ali Alomari; Raed Abu Zitar; Hazem Migdady; Kashif Saleem; Václav Snásel; Aseel Smerat; Absalom E. Ezugwu (IET Commun., 2025)

Enhanced Arithmetic Optimization Algorithm for Intrusion Detection in Wireless Sensor Networks. - Mohammed Otair; Mohammed K. Qawaqzeh; Saleh Ali Alomari; Raed Abu Zitar; Hazem Migdady; Kashif Saleem; Aseel Smerat; Anas Ratib Al-Soud; Laith Abualigah (Int. J. Commun. Syst., 2025)

Enhancing Real-Time Data Analysis through Advanced Machine Learning and Data Analytics Algorithms. - Laith Abualigah (Int. J. Online Biomed. Eng., 2025)

Hybridizing remora and aquila optimizer with dynamic oppositional learning for structural engineering design problems. - Megha Varshney; Pravesh Kumar; Laith Abualigah (J. Comput. Appl. Math., 2025)

Quadruple strategy-driven hiking optimization algorithm for low and high-dimensional feature selection and real-world skin cancer classification. - Mahmoud Abdel-Salam; Saleh Ali Alomari; Mohammad H. Almomani; Gang Hu 002; Sangkeum Lee 003; Kashif Saleem; Aseel Smerat; Laith Abualigah (Knowl. Based Syst., 2025)

Novel transfer learning approach for hand drawn mathematical geometric shapes classification. - Aneeza Alam; Ali Raza; Nisrean Thalji; Laith Abualigah; Helena Garay; Josep Alemany Iturriaga; Imran Ashraf (PeerJ Comput. Sci., 2025)

Atom Search Optimization: a comprehensive review of its variants, applications, and future directions. - Mohammed A. El-Shorbagy; Anas Bouaouda; Laith Abualigah; Fatma A. Hashim (PeerJ Comput. Sci., 2025)

Improved sandcat swarm optimization algorithm for solving global optimum problems. - Heming Jia; Jinrui Zhang; Honghua Rao; Laith Abualigah (Artif. Intell. Rev., 2025)

Smart Homes of the Future. - Absalom E. Ezugwu; Olutosin Taiwo; Ojonukpe S. Egwuche; Laith Abualigah; Annette Van Der Merwe; Jayanta Pal; Apu Kumar Saha; Ahmed Ibrahim Alzahrani 001; Fahad Alblehai; Japie Greeff; Micheal Olusoji Olusanya (Trans. Emerg. Telecommun. Technol., 2025)

Improved artificial rabbits algorithm for global optimization and multi-level thresholding color image segmentation. - Heming Jia; Yuanyuan Su; Honghua Rao; Muzi Liang; Laith Abualigah; Chibiao Liu; Xiaoguo Chen (Artif. Intell. Rev., 2025)

Enhanced crayfish optimization algorithm with differential evolution's mutation and crossover strategies for global optimization and engineering applications. - Binanda Maiti; Saptadeep Biswas; Absalom El-Shamir Ezugwu; Uttam Kumar Bera; Ahmed Ibrahim Alzahrani 001; Fahad Alblehai; Laith Abualigah (Artif. Intell. Rev., 2025)

A Smart IoT-Cloud Framework with Adaptive Deep Learning for Real-Time Epileptic Seizure Detection. - Ahmad MohdAziz Hussein; Saleh Ali Alomari; Mohammad H. Almomani; Raed Abu Zitar; Kashif Saleem; Aseel Smerat; Shawd Nusier; Laith Abualigah (Circuits Syst. Signal Process., 2025)

Land use/land cover (LULC) classification using hyperspectral images: a review. - Chen Lou; Mohammed A. A. Al-qaness; Dalal AL-Alimi; Abdelghani Dahou; Mohamed E. Abd Elaziz; Laith Abualigah; Ahmed A. Ewees (Geo spatial Inf. Sci., 2025)

IDSDeep-CCD: intelligent decision support system based on deep learning for concrete cracks detection. - Sayel Abualigah; Ahmad F. Al-Naimi; Gagan Sachdeva; Omran AlAmri; Laith Abualigah (Multim. Tools Appl., 2025)

Enhancing malware detection performance: leveraging K-Nearest Neighbors with Firefly Optimization Algorithm. - Adeeb Alsaaidah; Mosleh M. Abualhaj; Qusai Y. Shambour; Ahmad Adel Abu Shareha; Laith Abualigah; Sumaya N. Al-Khatib; Yousef Alrabanah (Multim. Tools Appl., 2025)

Adaptive Gbest-Guided Atom Search Optimization for Designing Stable Digital IIR Filters. - Laith Abualigah; Davut Izci; Mostafa Jabari; Serdar Ekinci; Kashif Saleem; Hazem Migdady; Aseel Smerat (Circuits Syst. Signal Process., 2025)

The Role of Orthographic Consistency in Multilingual Embedding Models for Text Classification in Arabic-Script Languages. - Abdulhady Abas Abdullah; Amir H. Gandomi; Tarik A. Rashid; Seyedali Mirjalili; Laith Abualigah; Milena Zivkovic; Hadi Veisi (CoRR, 2025)

Birds of prey-based optimization (BPBO): a metaheuristic algorithm for optimization. - Mojtaba Ghasemi; Mohammad Amin Akbari; Mohsen Zare; Seyedali Mirjalili; Mohamed Deriche 001; Laith Abualigah; Nima Khodadadi (Evol. Intell., 2025)

Kirchhoff's law algorithm (KLA): a novel physics-inspired non-parametric metaheuristic algorithm for optimization problems. - Mojtaba Ghasemi; Nima Khodadadi; Pavel Trojovský; Li Li 031; Zulkefli Mansor; Laith Abualigah; Amal H. Alharbi; El-Sayed M. El-Kenawy (Artif. Intell. Rev., 2025)

Secure and efficient cloudlet networks: blockchain integration with agent-based proof of trust mechanism. - Nothile C. Masango; Jeffrey O. Agushaka; Mercy C. Amaefule; Olutosin Taiwo; Peiying Zhang 001; Absalom E. Ezugwu; Kashif Saleem; Aseel Smerat; Laith Abualigah (EURASIP J. Wirel. Commun. Netw., 2025)

A Novel Hybrid Optimizer Based on Coati Optimization Algorithm and Differential Evolution for Global Optimization and Constrained Engineering Problems. - Saptadeep Biswas; Binanda Maiti; Gyan Singh; Absalom E. Ezugwu; Kashif Saleem; Laith Abualigah; Aseel Smerat; Uttam Kumar Bera (Int. J. Comput. Intell. Syst., 2025)

MORKO: A Multi-objective Runge-Kutta Optimizer for Multi-domain Optimization Problems. - Kanak Kalita; Pradeep Jangir; Sundaram B. Pandya; Ahmed Ibrahim Alzahrani 001; Fahad Alblehai; Laith Abualigah; Absalom E. Ezugwu (Int. J. Comput. Intell. Syst., 2025)

Enhanced Global Optimization Using a Novel Hybrid Sine Cosine-Gazelle Algorithm with Brownian Motion and Lévy Flight Mechanisms. - Gyan Singh; Saptadeep Biswas; Absalom El-Shamir Ezugwu; Vladimir Simic; Uttam Kumar Bera; Kashif Saleem; Laith Abualigah (Int. J. Comput. Intell. Syst., 2025)

GPSOM: group-based particle swarm optimization with multiple strategies for engineering applications. - Jialing Yan; Gang Hu 002; Heming Jia; Abdelazim G. Hussien; Laith Abualigah (J. Big Data, 2025)