World's Best Scientists 2026 revealed!
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Computer Science
Mexico
2026

D-Index & Metrics

Computer Science

D-Index
37
Citations
6428
World Ranking
10682
National Ranking
9

Research.com Recognitions

  • 2026 - Research.com Computer Science in Mexico Leader Award

Overview

Fevrier Valdez is affiliated with the Instituto Tecnológico de Tijuana in Mexico. Their research primarily spans the fields of Computer Science and Engineering, with a focus on subfields such as Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, and Management Science and Operations Research.

The scientist's work covers a range of topics related to metaheuristic optimization algorithms, fuzzy logic, and neural networks. Key research interests include:

  • Metaheuristic Optimization Algorithms Research
  • Fuzzy Logic and Control Systems
  • Neural Networks and Applications
  • Robotic Path Planning Algorithms
  • Evolutionary Algorithms and Applications
  • Multi-Criteria Decision Making
  • Control and Dynamics of Mobile Robots

Fevrier Valdez has contributed to a number of recent papers, including:

  • "A review on quantum computing and deep learning algorithms and their applications" (2022), published in Soft Computing
  • "Fuzzy Logic in Dynamic Parameter Adaptation of Harmony Search Optimization for Benchmark Functions and Fuzzy Controllers" (2020), published in International Journal of Fuzzy Systems
  • "Bio-Inspired Algorithms and Its Applications for Optimization in Fuzzy Clustering" (2021), published in Algorithms
  • "Optimization of Type-2 Fuzzy Logic Controller Design Using the GSO and FA Algorithms" (2020), published in International Journal of Fuzzy Systems (authored by Emer Bernal but relevant to the field)
  • "A Review on the Cuckoo Search Algorithm" (2021), published in Studies in computational intelligence

Frequent publication venues where Fevrier Valdez's work appears include:

  • Computación y Sistemas
  • Soft Computing
  • Journal of Intelligent & Fuzzy Systems
  • Studies in computational intelligence
  • Mathematics

Coauthor collaborations are an important aspect of their scientific contributions. Frequent coauthors include:

  • Oscar Castillo
  • Patricia Melín
  • Hector Carreon-Ortiz
  • José Soria
  • Juan Barraza

Fevrier Valdez has also contributed to books published by Springer Nature, with titles such as:

  • "General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm" (2020)
  • "Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks" (2023)
  • "Mycorrhiza Optimization Algorithm" (2023)

Best Publications

  • Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot

    Oscar Castillo;Ricardo Martínez-Marroquín;Patricia Melin;Fevrier Valdez

  • Optimal design of fuzzy classification systems using PSO with dynamic parameter adaptation through fuzzy logic

    Patricia Melin;Frumen Olivas;Oscar Castillo;Fevrier Valdez

  • An improved evolutionary method with fuzzy logic for combining Particle Swarm Optimization and Genetic Algorithms

    Fevrier Valdez;Patricia Melin;Oscar Castillo

  • A Fuzzy Hierarchical Operator in the Grey Wolf Optimizer Algorithm

    Luis Rodríguez;Oscar Castillo;José Soria;Patricia Melin

  • A new approach for dynamic fuzzy logic parameter tuning in Ant Colony Optimization and its application in fuzzy control of a mobile robot

    Oscar Castillo;Héctor Neyoy;José Soria;Patricia Melin

  • A new neural network model based on the LVQ algorithm for multi-class classification of arrhythmias

    Patricia Melin;Jonathan Amezcua;Fevrier Valdez;Oscar Castillo

  • Ant colony optimization with dynamic parameter adaptation based on interval type-2 fuzzy logic systems

    Frumen Olivas;Fevrier Valdez;Oscar Castillo;Claudia I. Gonzalez

  • A survey on nature-inspired optimization algorithms with fuzzy logic for dynamic parameter adaptation

    Fevrier Valdez;Patricia Melin;Oscar Castillo

  • Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction

    Fernando Gaxiola;Patricia Melin;Fevrier Valdez;Oscar Castillo

  • Dynamic parameter adaptation in particle swarm optimization using interval type-2 fuzzy logic

    Frumen Olivas;Fevrier Valdez;Oscar Castillo;Patricia Melin

  • Optimization of type-2 fuzzy weights in backpropagation learning for neural networks using GAs and PSO

    Fernando Gaxiola;Patricia Melin;Fevrier Valdez;Juan R. Castro

  • Optimal design of type-2 and type-1 fuzzy tracking controllers for autonomous mobile robots under perturbed torques using a new chemical optimization paradigm

    Patricia Melin;Leslie Astudillo;Oscar Castillo;Fevrier Valdez

  • Optimization of fuzzy controller design using a new bee colony algorithm with fuzzy dynamic parameter adaptation

    Camilo Caraveo;Fevrier Valdez;Oscar Castillo

  • Interval type-2 fuzzy logic for dynamic parameter adaptation in a modified gravitational search algorithm

    Frumen Olivas;Fevrier Valdez;Patricia Melin;Alberto Sombra

  • Comparative study of the use of fuzzy logic in improving particle swarm optimization variants for mathematical functions using co-evolution

    Fevrier Valdez;Juan Carlos Vazquez;Patricia Melin;Oscar Castillo

  • An Extension of the Fuzzy Possibilistic Clustering Algorithm Using Type-2 Fuzzy Logic Techniques

    Elid Rubio;Oscar Castillo;Fevrier Valdez;Patricia Melin

  • A new gravitational search algorithm using fuzzy logic to parameter adaptation

    Alberto Sombra;Fevrier Valdez;Patricia Melin;Oscar Castillo

  • Evolutionary method combining particle swarm optimization and genetic algorithms using fuzzy logic for decision making

    Fevrier Valdez;Patricia Melin;Oscar Castillo

  • Modular Neural Networks architecture optimization with a new nature inspired method using a fuzzy combination of Particle Swarm Optimization and Genetic Algorithms

    Fevrier Valdez;Patricia Melin;Oscar Castillo

  • New approach using ant colony optimization with ant set partition for fuzzy control design applied to the ball and beam system

    Oscar Castillo;Evelia Lizárraga;Jose Soria;Patricia Melin

Frequent Co-Authors

Oscar Castillo
Oscar Castillo Instituto Tecnológico de Tijuana
Patricia Melin
Patricia Melin Instituto Tecnológico de Tijuana
Zong Woo Geem
Zong Woo Geem Gachon University
Pascal Bouvry
Pascal Bouvry University of Luxembourg

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