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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
42
Citations
11899
World Ranking
8188
National Ranking
111

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Manuel Lozano is affiliated with the University of Granada in Spain. Their research spans multiple disciplines, predominantly focusing on Medicine, Computer Science, and Engineering. Within these broad fields, their work further specializes in subfields including Industrial and Manufacturing Engineering, Orthopedics and Sports Medicine, Statistical and Nonlinear Physics, Artificial Intelligence, and Dermatology.

Their research covers a variety of topics, with notable concentration on Vehicle Routing Optimization Methods, Metaheuristic Optimization Algorithms Research, Scheduling and Optimization Algorithms, Sports Performance and Training, Sports Injuries and Prevention, Complex Network Analysis Techniques, and Opinion Dynamics and Social Influence.

Manuel Lozano has published research papers in several recognized venues:

  • Network reconstruction from betweenness centrality by artificial bee colony, 2021, Swarm and Evolutionary Computation
  • Population-based iterated greedy algorithm for the S-labeling problem, 2023, Computers & Operations Research
  • Match activity profile analysis during professional men's double pickleball tournaments, 2025, International Journal of Performance Analysis in Sport
  • Comments on: Tabu search tutorial. A Graph Drawing Application, 2021, Top
  • Match activity profile analysis during professional single male pickleball matches, 2025, International Journal of Sports Science & Coaching

Frequent coauthors in Manuel Lozano's research include Francisco J. Rodríguez, Martí Casals, Rodrigo Ampuero, Josep Campos-Rius, and Ernest Baiget, each having collaborated on multiple publications.

The scientist has contributed articles to publication venues such as Swarm and Evolutionary Computation, Computers & Operations Research, International Journal of Performance Analysis in Sport, Top, and International Journal of Sports Science & Coaching.

Best Publications

  • A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 Special Session on Real Parameter Optimization

    Salvador García;Daniel Molina;Manuel Lozano;Francisco Herrera

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

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

  • Tuning fuzzy logic controllers by genetic algorithms

    Francisco Herrera;Manuel Lozano;José L. Verdegay

  • A taxonomy for the crossover operator for real-coded genetic algorithms: An experimental study

    Francisco Herrera;Manuel Lozano;Ana M. Sánchez

  • Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study

    J.R. Cano;F. Herrera;M. Lozano

  • Real-coded memetic algorithms with crossover hill-climbing

    Manuel Lozano;Francisco Herrera;Natalio Krasnogor;Daniel Molina

  • Gradual distributed real-coded genetic algorithms

    F. Herrera;M. Lozano

  • A learning process for fuzzy control rules using genetic algorithms

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

  • Global and local real-coded genetic algorithms based on parent-centric crossover operators

    Carlos García-Martínez;Manuel Lozano;Francisco Herrera;Daniel Molina

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

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

  • Hybrid metaheuristics with evolutionary algorithms specializing in intensification and diversification: Overview and progress report

    M. Lozano;C. García-Martínez

  • Replacement strategies to preserve useful diversity in steady-state genetic algorithms

    Manuel Lozano;Francisco Herrera;José Ramón Cano

  • Memetic algorithms for continuous optimisation based on local search chains

    Daniel Molina;Manuel Lozano;Carlos García-Martínez;Francisco Herrera

  • Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems

    M. Lozano;D. Molina;F. Herrera

  • MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization

    Daniel Molina;Manuel Lozano;Francisco Herrera

  • Hybrid crossover operators for real-coded genetic algorithms: an experimental study

    F. Herrera;M. Lozano;A. M. Sánchez

  • Fuzzy adaptive genetic algorithms: design, taxonomy, and future directions

    F. Herrera;M. Lozano

  • MOGUL: A Methodology to Obtain Genetic Fuzzy Rule-Based Systems under the Iterative Rule Learning Approach*

    O. Cordón;M. J. del Jesus;F. Herrera;M. Lozano

  • Stratification for scaling up evolutionary prototype selection

    José Ramón Cano;Francisco Herrera;Manuel Lozano

  • Adaptive local search parameters for real-coded memetic algorithms

    D. Molina;F. Herrera;M. Lozano

Frequent Co-Authors

Francisco Herrera
Francisco Herrera University of Granada
Ana M. Sanchez
Ana M. Sanchez University of Warwick
José L. Verdegay
José L. Verdegay University of Granada
Christian Blum
Christian Blum Spanish National Research Council
Rafael Martí
Rafael Martí University of Valencia
Oscar Cordón
Oscar Cordón University of Granada
Natalio Krasnogor
Natalio Krasnogor Newcastle University
Fred Glover
Fred Glover University of Colorado Boulder
Salvador García
Salvador García University of Granada
Abraham Duarte
Abraham Duarte King Juan Carlos University

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