World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
72
Citations
22205
World Ranking
68
National Ranking
2

Computer Science

D-Index
80
Citations
27303
World Ranking
1075
National Ranking
19

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Ali Asghar Heidari is affiliated with the National University of Singapore and focuses on the field of Computer Science. Their research spans several prominent subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Renewable Energy, Sustainability and the Environment, as well as Electrical and Electronic Engineering.

The scientist's work addresses multiple research topics, predominantly in optimization algorithms and applications. Major themes in their publications include:

  • Metaheuristic Optimization Algorithms Research
  • Evolutionary Algorithms and Applications
  • Advanced Multi-Objective Optimization Algorithms
  • Photovoltaic System Optimization Techniques
  • Solar Radiation and Photovoltaics
  • Machine Learning and Extreme Learning Machines (ELM)
  • COVID-19 diagnosis using AI

Heidari has contributed extensively to academic literature, publishing in a range of venues with frequent conferences and journals being:

  • Expert Systems with Applications
  • Computers in Biology and Medicine
  • Biomedical Signal Processing and Control
  • Journal of Computational Design and Engineering
  • IEEE Access

Their recent papers, which cover advanced optimization methods and algorithm development, include:

  • "Slime mould algorithm: A new method for stochastic optimization," published in 2020 in Future Generation Computer Systems
  • "Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts," published in 2021 in Expert Systems with Applications
  • "RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method," published in 2021 in Expert Systems with Applications
  • "RIME: A physics-based optimization," published in 2023 in Neurocomputing
  • "INFO: An efficient optimization algorithm based on weighted mean of vectors," published in 2022 in Expert Systems with Applications

Ali Asghar Heidari frequently collaborates with other researchers in their field. Notable coauthors include:

  • Huiling Chen
  • Zhennao Cai
  • Guoxi Liang
  • Mingjing Wang
  • Yi Chen

The breadth of publications and coauthor networks indicates a collaborative approach and a diversified research focus within computational methods and optimization.

Best Publications

  • Harris hawks optimization: Algorithm and applications

    Ali Asghar Heidari;Ali Asghar Heidari;Seyedali Mirjalili;Hossam Faris;Ibrahim Aljarah

  • Slime mould algorithm: A new method for stochastic optimization

    Shimin Li;Huiling Chen;Mingjing Wang;Ali Asghar Heidari;Ali Asghar Heidari

  • RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method

    Iman Ahmadianfar;Ali Asghar Heidari;Ali Asghar Heidari;Amir H. Gandomi;Xuefeng Chu

  • Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts

    Yutao Yang;Huiling Chen;Ali Asghar Heidari;Ali Asghar Heidari;Amir H Gandomi

  • An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems

    Hossam Faris;Majdi M. Mafarja;Ali Asghar Heidari;Ibrahim Aljarah

  • An efficient modified grey wolf optimizer with Lévy flight for optimization tasks

    Ali Asghar Heidari;Parham Pahlavani

  • Evolutionary Population Dynamics and Grasshopper Optimization approaches for feature selection problems

    Majdi M. Mafarja;Ibrahim Aljarah;Ali Asghar Heidari;Abdelaziz I. Hammouri

  • Parrot optimizer: Algorithm and applications to medical problems

    Unknown

  • An efficient salp swarm-inspired algorithm for parameters identification of photovoltaic cell models

    Rabeh Abbassi;Rabeh Abbassi;Abdelkader Abbassi;Ali Asghar Heidari;Seyedali Mirjalili

  • Binary dragonfly optimization for feature selection using time-varying transfer functions

    Majdi M. Mafarja;Ibrahim Aljarah;Ali Asghar Heidari;Hossam Faris

  • Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies

    Hao Chen;Ali Asghar Heidari;Ali Asghar Heidari;Huiling Chen;Mingjing Wang

  • Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy

    Dong Zhao;Lei Liu;Fanhua Yu;Ali Asghar Heidari;Ali Asghar Heidari

  • Parameters identification of photovoltaic cells and modules using diversification-enriched Harris hawks optimization with chaotic drifts

    Huiling Chen;Shan Jiao;Mingjing Wang;Ali Asghar Heidari;Ali Asghar Heidari

  • An efficient hybrid multilayer perceptron neural network with grasshopper optimization

    Ali Asghar Heidari;Hossam Faris;Ibrahim Aljarah;Seyedali Mirjalili

  • An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks

    Hossam Faris;Ala' M. Al-Zoubi;Ali Asghar Heidari;Ibrahim Aljarah

  • An opposition-based sine cosine approach with local search for parameter estimation of photovoltaic models

    Huiling Chen;Shan Jiao;Ali Asghar Heidari;Ali Asghar Heidari;Mingjing Wang

  • Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection

    Jiao Hu;Huiling Chen;Ali Asghar Heidari;Ali Asghar Heidari;Mingjing Wang

  • An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks

    Yueting Xu;Huiling Chen;Ali Asghar Heidari;Ali Asghar Heidari;Jie Luo

  • Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis

    Yanan Zhang;Yanan Zhang;Renjing Liu;Ali Asghar Heidari;Ali Asghar Heidari;Xin Wang

  • An efficient double adaptive random spare reinforced whale optimization algorithm

    Huiling Chen;Chenjun Yang;Ali Asghar Heidari;Ali Asghar Heidari;Xuehua Zhao

  • An evolutionary gravitational search-based feature selection

    Mohammad Taradeh;Majdi M. Mafarja;Ali Asghar Heidari;Ali Asghar Heidari;Hossam Faris

  • Orthogonally adapted Harris hawks optimization for parameter estimation of photovoltaic models

    Shan Jiao;Guoshuang Chong;Changcheng Huang;Hanqing Hu

Frequent Co-Authors

Huiling Chen
Huiling Chen Wenzhou University
Majdi M. Mafarja
Majdi M. Mafarja Birzeit University
Hossam Faris
Hossam Faris University of Jordan
Ibrahim Aljarah
Ibrahim Aljarah University of Jordan
Seyedali Mirjalili
Seyedali Mirjalili Torrens University Australia
Diego Oliva
Diego Oliva University of Guadalajara
Khan Muhammad
Khan Muhammad Sungkyunkwan University
Hamido Fujita
Hamido Fujita University of Technology Malaysia
Amir H. Gandomi
Amir H. Gandomi University of Technology Sydney
Hossein Moayedi
Hossein Moayedi Duy Tan University

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