World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
10756
World Ranking
4127
National Ranking
250

Overview

Ferrante Neri is affiliated with the University of Nottingham in the United Kingdom. Their research contributions primarily span the fields of Computer Science and Engineering, with a significant focus on specialized subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Molecular Biology, and Electrical and Electronic Engineering.

The scientist's main topics of work encompass metaheuristic optimization algorithms research, advanced multi-objective optimization algorithms, evolutionary algorithms and applications, machine learning and data classification, DNA and biological computing, advanced neural network applications, and neural networks and applications.

Frequent publication venues for their work include:

  • International Journal of Neural Systems
  • Integrated Computer-Aided Engineering
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • Applied Soft Computing
  • SN Computer Science

Selected recent papers demonstrate a continued focus on feature selection, neural networks, and evolutionary optimization methods. These include:

  • Multi-Objective Feature Selection With Missing Data in Classification, 2021, IEEE Transactions on Emerging Topics in Computational Intelligence
  • An ensemble of differential evolution and Adam for training feed-forward neural networks, 2022, Information Sciences
  • A multi-objective evolutionary algorithm with interval based initialization and self-adaptive crossover operator for large-scale feature selection in classification, 2022, Applied Soft Computing
  • A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks, 2021, International Journal of Neural Systems
  • An Adaptive Optimization Spiking Neural P System for Binary Problems, 2020, International Journal of Neural Systems

Co-authors frequently collaborating with Ferrante Neri include:

  • Yu Xue
  • Gexiang Zhang
  • Pengcheng Jiang
  • Haina Rong
  • Xingyang Liu

In addition to journal articles, Ferrante Neri has contributed to book publications. Notably, a book titled Intelligent Computing Research with Applications in Ecological Plant Protection was published with Frontiers Media in 2022.

Best Publications

  • Recent advances in differential evolution: a survey and experimental analysis

    Ferrante Neri;Ville Tirronen

  • Memetic algorithms and memetic computing optimization: A literature review

    Ferrante Neri;Carlos Cotta

  • Handbook of Memetic Algorithms

    Ferrante Neri;Carlos Cotta;Pablo Moscato

  • An optimization spiking neural p system for approximately solving combinatorial optimization problems.

    Gexiang Zhang;Haina Rong;Ferrante Neri;Mario J Pérez-Jiménez

  • Compact Differential Evolution

    E Mininno;F Neri;F Cupertino;D Naso

  • A Fast Adaptive Memetic Algorithm for Online and Offline Control Design of PMSM Drives

    A. Caponio;G.L. Cascella;F. Neri;N. Salvatore

  • Cloud-Assisted Secure eHealth Systems for Tamper-Proofing EHR via Blockchain

    Sheng Cao;Gexiang Zhang;Pengfei Liu;Xiaosong Zhang

  • Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy

    Rawaa Dawoud Al-Dabbagh;Ferrante Neri;Norisma Idris;Mohd Sapiyan Baba

  • An ensemble of differential evolution and Adam for training feed-forward neural networks

    Unknown

  • Super-fit control adaptation in memetic differential evolution frameworks

    Andrea Caponio;Ferrante Neri;Ville Tirronen

  • Spiking Neural P Systems with Communication on Request.

    Linqiang Pan;Gheorghe Păun;Gexiang Zhang;Ferrante Neri

  • Scale factor local search in differential evolution

    Ferrante Neri;Ville Tirronen

  • Compact Particle Swarm Optimization

    Ferrante Neri;Ferrante Neri;Ernesto Mininno;Giovanni Iacca

  • Memetic Compact Differential Evolution for Cartesian Robot Control

    Ferrante Neri;Ernesto Mininno

  • Ockham's Razor in memetic computing: Three stage optimal memetic exploration

    Giovanni Iacca;Ferrante Neri;Ernesto Mininno;Yew-Soon Ong

  • An Adaptive Multimeme Algorithm for Designing HIV Multidrug Therapies

    Ferrante Neri;Jari Toivanen;Giuseppe Leonardo Cascella;Yew-Soon Ong

  • A multi-objective evolutionary algorithm with interval based initialization and self-adaptive crossover operator for large-scale feature selection in classification

    Unknown

  • An enhanced memetic differential evolution in filter design for defect detection in paper production

    Ville Tirronen;Ferrante Neri;Tommi Kärkkäinen;Kirsi Majava

  • Optimization of Delayed-State Kalman-Filter-Based Algorithm via Differential Evolution for Sensorless Control of Induction Motors

    N. Salvatore;A. Caponio;F. Neri;S. Stasi

  • A study on scale factor in distributed differential evolution

    Matthieu Weber;Ferrante Neri;Ville Tirronen

  • Disturbed Exploitation compact Differential Evolution for limited memory optimization problems

    Ferrante Neri;Giovanni Iacca;Ernesto Mininno

  • Scale factor inheritance mechanism in distributed differential evolution

    Matthieu Weber;Ville Tirronen;Ferrante Neri

Frequent Co-Authors

Gexiang Zhang
Gexiang Zhang Chengdu University of Information Technology
Mike Preuss
Mike Preuss Leiden University
Shengxiang Yang
Shengxiang Yang De Montfort University
Rammohan Mallipeddi
Rammohan Mallipeddi Kyungpook National University
Linqiang Pan
Linqiang Pan Huazhong University of Science and Technology
Gianni A. Di Caro
Gianni A. Di Caro Carnegie Mellon University
Mario J. Pérez-Jiménez
Mario J. Pérez-Jiménez University of Seville
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University
Julian Togelius
Julian Togelius New York University
Georgios N. Yannakakis
Georgios N. Yannakakis University of Malta

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