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Laith Abualigah

Researcher Next ID · RN-019472

Researcher · Computer Science

Al-Ahliyya Amman University

Amman, Saudi Arabia

Not currently recruitingFunding unknown
Works count
811
Citation count
43,337
H-index
87
i10-index
518

Research interests

Computer Science
Metaheuristic Optimization Algorithms Research
Advanced Multi-Objective Optimization Algorithms
Evolutionary Algorithms and Applications
IoT and Edge/Fog Computing
Cloud Computing and Resource Management

Publications

  • Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning

    Cluster Computing · 2024 · 10.1007/s10586-023-04221-5

  • Genghis Khan shark optimizer: A novel nature-inspired algorithm for engineering optimization

    Advanced Engineering Informatics · 2023 · 10.1016/j.aei.2023.102210

  • A Sinh Cosh optimizer

    Knowledge-Based Systems · 2023 · 10.1016/j.knosys.2023.111081

  • K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data

    Information Sciences · 2022 · https://doi.org/10.1016/j.ins.2022.11.139

  • A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects

    Engineering Applications of Artificial Intelligence · 2022 · https://doi.org/10.1016/j.engappai.2022.104743

  • Emerging Trends in Blockchain Technology and Applications: A Review and Outlook

    Journal of King Saud University - Computer and Information Sciences · 2022 · 10.1016/j.jksuci.2022.03.007

  • Prairie Dog Optimization Algorithm

    Neural Computing and Applications · 2022 · 10.1007/s00521-022-07530-9

  • Machine learning in medical applications: A review of state-of-the-art methods

    Computers in Biology and Medicine · 2022 · 10.1016/j.compbiomed.2022.105458

  • Dwarf Mongoose Optimization Algorithm

    Computer Methods in Applied Mechanics and Engineering · 2022 · 10.1016/j.cma.2022.114570

  • Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer

    Neural Computing and Applications · 2022 · 10.1007/s00521-022-07854-6

  • Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm

    IEEE Access · 2022 · 10.1109/access.2022.3147821

  • The Arithmetic Optimization Algorithm

    Computer Methods in Applied Mechanics and Engineering · 2021 · https://doi.org/10.1016/j.cma.2020.113609

  • Aquila Optimizer: A novel meta-heuristic optimization algorithm

    Computers & Industrial Engineering · 2021 · https://doi.org/10.1016/j.cie.2021.107250

  • Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer

    Expert Systems with Applications · 2021 · https://doi.org/10.1016/j.eswa.2021.116158

  • Advances in Sine Cosine Algorithm: A comprehensive survey

    Artificial Intelligence Review · 2021 · 10.1007/s10462-020-09909-3

  • Applications, Deployments, and Integration of Internet of Drones (IoD): A Review

    IEEE Sensors Journal · 2021 · 10.1109/jsen.2021.3114266

  • A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications

    Neural Computing and Applications · 2020 · 10.1007/s00521-020-04789-8

  • A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments

    Cluster Computing · 2020 · 10.1007/s10586-020-03075-5

  • Salp swarm algorithm: a comprehensive survey

    Neural Computing and Applications · 2019 · 10.1007/s00521-019-04629-4

  • Moth–flame optimization algorithm: variants and applications

    Neural Computing and Applications · 2019 · 10.1007/s00521-019-04570-6

  • Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering

    Studies in computational intelligence · 2018 · 10.1007/978-3-030-10674-4

  • Hybrid clustering analysis using improved krill herd algorithm

    Applied Intelligence · 2018 · 10.1007/s10489-018-1190-6

  • A new feature selection method to improve the document clustering using particle swarm optimization algorithm

    Journal of Computational Science · 2017 · 10.1016/j.jocs.2017.07.018

  • Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering

    The Journal of Supercomputing · 2017 · 10.1007/s11227-017-2046-2

  • A comprehensive review: Krill Herd algorithm (KH) and its applications

    Applied Soft Computing · 2016 · 10.1016/j.asoc.2016.08.041

Current projects

    No projects listed.