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Michael N. Vrahatis

Michael N. Vrahatis

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Mathematics
Greece
2026

D-Index & Metrics

Computer Science

D-Index
59
Citations
15931
World Ranking
3395
National Ranking
12

Mathematics

D-Index
60
Citations
15953
World Ranking
553
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Mathematics in Greece Leader Award
  • 2025 - Research.com Mathematics in Greece Leader Award
  • 2023 - Research.com Mathematics in Greece Leader Award

Overview

Michael N. Vrahatis is affiliated with the University of Patras in Greece and has contributed extensively to fields spanning Computer Science and Engineering. Their research emphasizes the subfields of Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Electrical and Electronic Engineering, and Computer Networks and Communications.

The scientist's work covers a range of main topics including Machine Learning and Data Classification, Metaheuristic Optimization Algorithms Research, Data Stream Mining Techniques, Anomaly Detection Techniques and Applications, Face and Expression Recognition, Matrix Theory and Algorithms, and Robotic Path Planning Algorithms.

They have published several recent papers, including:

  • "kNN Classification: a review", 2023, Annals of Mathematics and Artificial Intelligence
  • "Artificial intelligence methods for music generation: a review and future perspectives", 2020, Elsevier eBooks
  • "Novel Sparse Feature Regression Method for Traffic Forecasting", 2022, International Journal of Artificial Intelligence Tools
  • "Survey of Methods for Solving Systems of Nonlinear Equations, Part I: Root-finding Approaches", 2022, arXiv (Cornell University)
  • "Towards the mathematical foundation of the minimum enclosing ball and related problems", 2024, arXiv (Cornell University)

Frequent co-authors include Panos K. Syriopoulos, Sotiris Kotsiantis, Konstantinos Chatzilygeroudis, Nektarios G. Kalampalikis, and Pãnos M. Pardalos, each collaborating on multiple publications.

Their publications appear predominantly in venues such as arXiv (Cornell University), Annals of Mathematics and Artificial Intelligence, Elsevier eBooks, International Journal of Artificial Intelligence Tools, and Operations Research Forum.

Michael N. Vrahatis has also contributed a book titled Black Box Optimization, Machine Learning, and No-Free Lunch Theorems, published in 2021 by Springer International Publishing.

Best Publications

  • Recent approaches to global optimization problems through Particle Swarm Optimization

    K. E. Parsopoulos;M. N. Vrahatis

  • Particle swarm optimization method in multiobjective problems

    K. E. Parsopoulos;M. N. Vrahatis

  • On the computation of all global minimizers through particle swarm optimization

    K.E. Parsopoulos;M.N. Vrahatis

  • Particle Swarm Optimization and Intelligence: Advances and Applications

    Konstantinos E. Parsopoulos;Michael N. Vrahatis

  • Particle swarm optimization for integer programming

    E.C. Laskari;K.E. Parsopoulos;M.N. Vrahatis

  • UPSO: A Unified Particle Swarm Optimization Scheme

    K.E. Parsopoulos;M.N. Vrahatis

  • No Free Lunch Theorem: A Review

    Stavros P. Adam;Stamatios-Aggelos N. Alexandropoulos;Panos M. Pardalos;Michael N. Vrahatis

  • Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators

    M G Epitropakis;D K Tasoulis;N G Pavlidis;V P Plagianakos

  • Unified particle swarm optimization for solving constrained engineering optimization problems

    K. E. Parsopoulos;M. N. Vrahatis

  • Parallel differential evolution

    D.K. Tasoulis;N.G. Pavlidis;V.P. Plagianakos;M.N. Vrahatis

  • Effective backpropagation training with variable stepsize

    George D. Magoulas;Michael N. Vrahatis;George S. Androulakis

  • A first study of fuzzy cognitive maps learning using particle swarm optimization

    K.E. Parsopoulos;E.I. Papageorgiou;P.P. Groumpos;M.N. Vrahatis

  • Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization

    Elpiniki I. Papageorgiou;Konstantinos E. Parsopoulos;Chrysostomos S. Stylios;Petros P. Groumpos

  • New globally convergent training scheme based on the resilient propagation algorithm

    Aristoklis D. Anastasiadis;George D. Magoulas;Michael N. Vrahatis

  • Detecting order and chaos in Hamiltonian systems by the SALI method

    Ch Skokos;Ch Skokos;Ch Antonopoulos;T C Bountis;M N Vrahatis

  • Improving the convergence of the backpropagation algorithm using learning rate adaptation methods

    G. D. Magoulas;M. N. Vrahatis;G. S. Androulakis

  • Memetic particle swarm optimization

    Yiannis G. Petalas;Konstantinos E. Parsopoulos;Michael N. Vrahatis

  • Spiking neural network training using evolutionary algorithms

    N.G. Pavlidis;O.K. Tasoulis;V.P. Plagianakos;G. Nikiforidis

  • Parameter selection and adaptation in Unified Particle Swarm Optimization

    K. E. Parsopoulos;M. N. Vrahatis

  • Data preprocessing in predictive data mining

    Stamatios-Aggelos N. Alexandropoulos;Sotiris B. Kotsiantis;Michael N. Vrahatis

  • Particle filtering with particle swarm optimization in systems with multiplicative noise

    A. D. Klamargias;K. E. Parsopoulos;Ph. D. Alevizos;M. N. Vrahatis

Frequent Co-Authors

Konstantinos E. Parsopoulos
Konstantinos E. Parsopoulos University of Ioannina
George D. Magoulas
George D. Magoulas Birkbeck, University of London
Tassos Bountis
Tassos Bountis University of Patras
Sotiris Kotsiantis
Sotiris Kotsiantis University of Patras
Elpiniki I. Papageorgiou
Elpiniki I. Papageorgiou University Of Thessaly
Bernard Mourrain
Bernard Mourrain French Institute for Research in Computer Science and Automation - INRIA
Peter P. Groumpos
Peter P. Groumpos University of Patras
Aristidis Likas
Aristidis Likas University of Ioannina
Panos M. Pardalos
Panos M. Pardalos University of Florida
Stathis C. Stiros
Stathis C. Stiros University of Patras

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