World's Best Scientists 2026 revealed!
Ponnuthurai Nagaratnam Suganthan

Ponnuthurai Nagaratnam Suganthan

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Computer Science
Qatar
2026
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Computer Science
Singapore
2023

D-Index & Metrics

Computer Science

D-Index
124
Citations
78023
World Ranking
119
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Computer Science in Qatar Leader Award
  • 2025 - Research.com Computer Science in Qatar Leader Award
  • 2023 - Research.com Computer Science in Singapore Leader Award
  • 2022 - Research.com Computer Science in Singapore Leader Award
  • 2015 - IEEE Fellow For contributions to optimization using evolutionary and swarm algorithms

Overview

Ponnuthurai Nagaratnam Suganthan is affiliated with Qatar University in Qatar. Their research spans the fields of Computer Science and Engineering, with a significant focus on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, and Computational Theory and Mathematics.

The main topics covered in their work include:

  • Metaheuristic Optimization Algorithms Research
  • Machine Learning and Extreme Learning Machines (ELM)
  • Advanced Multi-Objective Optimization Algorithms
  • Face and Expression Recognition
  • Neural Networks and Applications
  • Evolutionary Algorithms and Applications
  • Energy Load and Power Forecasting

Frequent co-authors include:

  • Ruobin Gao
  • M. Tanveer
  • Minghui Hu
  • Kaizhou Gao
  • Witold Pedrycz

Publication venues where Ponnuthurai Nagaratnam Suganthan has frequently published encompass:

  • arXiv (Cornell University)
  • Swarm and Evolutionary Computation
  • Applied Soft Computing
  • SSRN Electronic Journal
  • Engineering Applications of Artificial Intelligence

Some recent papers by the scientist include:

  • Ensemble deep learning: A review, 2022, Engineering Applications of Artificial Intelligence
  • A test-suite of non-convex constrained optimization problems from the real-world and some baseline results, 2020, Swarm and Evolutionary Computation
  • Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application, 2021, Swarm and Evolutionary Computation
  • Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review, 2020, Expert Systems with Applications
  • A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems, 2021, Swarm and Evolutionary Computation

The scientist has contributed to multiple book publications mainly with Springer Nature and Springer Science+Business Media, including titles such as:

  • Differential Evolution: From Theory to Practice (2022)
  • Cybernetics, Cognition and Machine Learning Applications (2020, 2021, 2022 editions)
  • Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing (2020)
  • Advanced Computing (2023)
  • Handbook of Nature-Inspired Optimization Algorithms: The State of the Art (2022)

Ponnuthurai Nagaratnam Suganthan was recognized as an IEEE Fellow in 2015 for contributions to optimization using evolutionary and swarm algorithms.

Best Publications

  • Differential Evolution: A Survey of the State-of-the-Art

    S Das;P N Suganthan

  • Comprehensive learning particle swarm optimizer for global optimization of multimodal functions

    J.J. Liang;A.K. Qin;P.N. Suganthan;S. Baskar

  • Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization

    A.K. Qin;V.L. Huang;P.N. Suganthan

  • Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization

    P. N. Suganthan;N. Hansen;J. J. Liang;K. Deb

  • Multiobjective evolutionary algorithms: A survey of the state of the art

    Aimin Zhou;Bo-Yang Qu;Hui Li;Shi-Zheng Zhao

  • Ensemble deep learning: A review

    Unknown

  • Recent advances in differential evolution – An updated survey

    Swagatam Das;Sankha Subhra Mullick;Ponnuthurai N. Suganthan

  • Differential evolution algorithm with ensemble of parameters and mutation strategies

    R. Mallipeddi;P. N. Suganthan;Q. K. Pan;M. F. Tasgetiren

  • Self-adaptive differential evolution algorithm for numerical optimization

    A.K. Qin;P.N. Suganthan

  • Particle swarm optimiser with neighbourhood operator

    P.N. Suganthan

  • Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization

    J. J. Liang;B. Y. Qu;P. N. Suganthan

  • Multiobjective optimization Test Instances for the CEC 2009 Special Session and Competition

    Qingfu Zhang;Aimin Zhou;Shizheng Zhao;Ponnuthurai Nagaratnam Suganthan

  • Rapid and brief communication: Evolutionary extreme learning machine

    Qin-Yu Zhu;A. K. Qin;P. N. Suganthan;Guang-Bin Huang

  • Benchmark Functions for the CEC'2010 Special Session and Competition on Large-Scale Global Optimization

    Ke Tang;Xiaodong Li;P. N. Suganthan;Zhenyu Yang

  • Benchmark Functions for the CEC'2008 Special Session and Competition on Large Scale Global Optimization

    K. Tang;X. Yao;P. N. Suganthan;C. MacNish

  • A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem

    Quan-Ke Pan;M. Fatih Tasgetiren;P. N. Suganthan;T. J. Chua

  • Problem Deflnitions and Evaluation Criteria for the CEC 2006 Special Session on Constrained Real-Parameter Optimization

    J. J. Liang;Thomas Philip Runarsson;Efren Mezura-Montes;Maurice Clerc

  • An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization

    S. M. Islam;S. Das;S. Ghosh;S. Roy

  • Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]

    Ye Ren;Le Zhang;P.N. Suganthan

  • Dynamic multi-swarm particle swarm optimizer

    J.J. Liang;P.N. Suganthan

  • Dynamic multi-swarm particle swarm optimizer with local search

    J.J. Liang;P.N. Suganthan

Frequent Co-Authors

Rammohan Mallipeddi
Rammohan Mallipeddi Kyungpook National University
Swagatam Das
Swagatam Das Indian Statistical Institute
Jing Liang
Jing Liang Zhengzhou University
Boyang Qu
Boyang Qu Zhongyuan University of Technology
A. K. Qin
A. K. Qin Swinburne University of Technology
Gehan A. J. Amaratunga
Gehan A. J. Amaratunga University of Cambridge
Kaizhou Gao
Kaizhou Gao Macau University of Science and Technology
Le Zhang
Le Zhang University of Electronic Science and Technology of China
Robert G. Reynolds
Robert G. Reynolds Wayne State University
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University

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