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Igor Peretta

  • PHD
  • Professor
  • Federal University of Uberlandia
  • 3h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 17CitationsNumber of citations received by Igor's publications. Updated daily.

Research interests

Genetic Programming Genetic Algorithms Artificial Neural Networks

About

Adjunct Professor in the Group of Computer Engineering at the Faculty of Electrical Engineering from the Federal University of Uberlândia. PhD in Electric Engineering (Computers: Artificial Intelligence) from Federal University of Uberlândia (UFU, Brazil, 2015) and PhD in Computer Science from University of Strasbourg (UNISTRA, France, 2015). Bachelor in Electric Engineering from State University of Campinas (UNICAMP, 2002) and master in Electric Engineering (Computers: Artificial Intelligence) from Federal University of Uberlândia (UFU, 2010). Has experience in Computer Engineering specially in Artificial Intelligence, acting in the following themes: automatic speech recognition for voice commands, artificial neural networks, evolutionary algorithms, and artificial intelligence applications to engineering. Interests are among the fields of meta-heuristics, statistics, machine learning, evolutionary computation (in special Genetic Programming), and massively parallel computing (in special GPGPU computing). Currently, does research about evolutionary algorithms applied to computer-automated system modelling.

Co-authors (18)

Publications (5)

  • A mathematical discussion concerning the performance of multilayer perceptron-type artificial neural networks through use of orthogonal bipolar vectors

    • Manzan J
    • Yamanaka K
    • Peretta I
    • et al.
    N/AReaders
    0Citations
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  • Exterior lighting computer-automated design based on multi-criteria parallel evolutionary algorithm: Optimized designs for illumination quality and energy efficiency

    • Rocha H
    • Peretta I
    • Lima G
    • et al.
    N/AReaders
    6Citations
    Get full text
  • Statistical decision support for fitness function formulation to multi-objective evolutionary algorithms: A case study on computer automated exterior lighting design

    • Rocha H
    • Peretta I
    • Lima G
    • et al.
    N/AReaders
    1Citations
    Get full text
  • A TEO-based algorithm to detect events over OTDR measurements in FTTH PON networks

    • Lima G
    • Lamounier E
    • Cardoso A
    • et al.
    N/AReaders
    1Citations
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  • Optimization of lighting design usign Genetic algorithms

    • Lima G
    • Tavares J
    • Peretta I
    • et al.
    N/AReaders
    3Citations
    Get full text

Professional experience

Professor

Universidade Federal

April 2016 - Present

Education

PHD Degree

Universite de Strasbourg

August 2012 - September 2016(4 years)

PHD Degree

Federal University of Uberlandia

March 2011 - September 2015(5 years)

Master Degree

Universidade Federal

March 2009 - February 2011(2 years)

Engineer

Federal University of Technology - UTFPR

March 1994 - December 2002(9 years)