World's Best Scientists 2026 revealed!
José L. Verdegay

José L. Verdegay

D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
16187
World Ranking
3538
National Ranking
75

Overview

José L. Verdegay is affiliated with the University of Granada in Spain and has an extensive research profile primarily focused on engineering and decision sciences. Their work encompasses considerable involvement in control and systems engineering, management science and operations research, statistics and probability, industrial and manufacturing engineering, and automotive engineering.

The scientist's research topics cover various areas, including:

  • Optimization and Mathematical Programming
  • Multi-Criteria Decision Making
  • Fuzzy Systems and Optimization
  • Vehicle Routing Optimization Methods
  • Transportation and Mobility Innovations
  • Transportation Planning and Optimization
  • Maritime Ports and Logistics

Several recent papers authored or co-authored by José L. Verdegay include:

  • Multi-objective fully intuitionistic fuzzy fixed-charge solid transportation problem, 2021, Complex & Intelligent Systems
  • RETRACTED ARTICLE: Two-echelon electric vehicle routing problem with a developed moth-flame meta-heuristic algorithm, 2022, Operations Management Research
  • Fixed-charge solid transportation problem with budget constraints based on carbon emission in neutrosophic environment, 2022, Soft Computing
  • An epsilon-constraint method for fully fuzzy multiobjective linear programming, 2020, International Journal of Intelligent Systems
  • On the Application of a Lexicographic Method to Fuzzy Linear Programming Problems, 2022, Journal of Computational and Cognitive Engineering

José L. Verdegay collaborates frequently with a number of co-authors, including:

  • David A. Pelta
  • Boris Pérez-Cañedo
  • Pavel Novoa-Hernández
  • Eduardo Morales
  • Carlos Cruz Corona

Regarding publication venues, the scientist has contributed multiple articles to several outlets such as:

  • arXiv (Cornell University)
  • Operations Management Research
  • International Journal of Intelligent Systems
  • Metaverse
  • Complex & Intelligent Systems

In terms of book publications, José L. Verdegay has authored works published by Springer Nature, including:

  • Computational Intelligence Methodologies Applied to Sustainable Development Goals, 2022
  • Computational Intelligence in Emerging Technologies for Engineering Applications, 2020

Best Publications

  • Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis

    F. Herrera;M. Lozano;J. L. Verdegay

  • A model of consensus in group decision making under linguistic assessments

    F. Herrera;E. Herrera-Viedma;J. L. Verdegay

  • Direct approach processes in group decision making using linguistic OWA operators

    F. Herrera;E. Herrera-Viedma;J. L. Verdegay

  • A sequential selection process in group decision making with a linguistic assessment approach

    F. Herrera;E. Herrera-Viedma;J. L. Verdegay

  • On aggregation operations of linguistic labels

    M. Delgado;J. L. Verdegay;M. A. Vila

  • Tuning fuzzy logic controllers by genetic algorithms

    Francisco Herrera;Manuel Lozano;José L. Verdegay

  • Linguistic decision-making models

    M. Delgado;J. L. Verdegay;M. A. Vila

  • A rational consensus model in group decision making using linguistic assessments

    F. Herrera;E. Herrera-Viedma;J. L. Verdegay

  • A general model for fuzzy linear programming

    H. Rommelfanger;J. L. Verdegay;M. A. Vila

  • Linear programming problems and ranking of fuzzy numbers

    L. Campos;J. L. Verdegay

  • A learning process for fuzzy control rules using genetic algorithms

    F. Herrera;M. Lozano;J. L. Verdegay

  • Fuzzy optimization for supply chain planning under supply, demand and process uncertainties

    Unknown

  • Coverage path planning with unmanned aerial vehicles for 3D terrain reconstruction

    Marina Torres;David A. Pelta;José L. Verdegay;Juan C. Torres

  • Fuzzy connectives based crossover operators to model genetic algorithms population diversity

    F. Herrera;M. Lozano;J. L. Verdegay

  • A dual approach to solve the fuzzy linear programming problem

    Jose L Verdegay

  • A procedure for ranking fuzzy numbers using fuzzy relations

    M. Delgado;J. L. Verdegay;M. A. Vila

  • A linguistic decision process in group decision making

    F. Herrera;E. Herrera-Viedma;J. L. Verdegay

  • Genetic Algorithms and Soft Computing

    Francisco Herrera;J. L. Verdegay

  • Choice processes for non-homogeneous group decision making in linguistic setting

    F. Herrera;E. Herrera-Viedma;J. L. Verdegay

  • Solving fuzzy solid transportation problems by an evolutionary algorithm based parametric approach

    Fernando Jiménez;José L. Verdegay

  • Fuzzy Optimization: Recent Advances

    Miguel Delgado;M. A. Vila;J. Kaprzyk;J. L. Verdegay

  • Uncertain solid transportation problems

    F. Jiménez;J. L. Verdegay

  • Linguistic measures based on fuzzy coincidence for reaching consensus in group decision making

    Francisco Herrera;Enrique Herrera-Viedma;José L. Verdegay

Frequent Co-Authors

Francisco Herrera
Francisco Herrera University of Granada
Miguel Delgado
Miguel Delgado University of Granada
Maria-Amparo Vila
Maria-Amparo Vila University of Granada
Ali Ebrahimnejad
Ali Ebrahimnejad Islamic Azad University Mahshahr
Enrique Herrera-Viedma
Enrique Herrera-Viedma University of Granada
Manuel Lozano
Manuel Lozano University of Granada
Sankar Kumar Roy
Sankar Kumar Roy Vidyasagar University
Stefan Chanas
Stefan Chanas Wrocław University of Science and Technology
Pandian Vasant
Pandian Vasant Ton Duc Thang University
Luis Magdalena
Luis Magdalena Technical University of Madrid

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