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Antonio J. Nebro

Antonio J. Nebro

D-Index & Metrics

Computer Science

D-Index
38
Citations
8580
World Ranking
10043
National Ranking
159

Overview

Antonio J. Nebro is affiliated with the University of Malaga in Spain and has a research focus primarily situated within the fields of Computer Science, Biochemistry, Genetics and Molecular Biology, and Engineering. Their scholarly contributions span topics that include advanced multi-objective optimization algorithms, metaheuristic optimization algorithms research, and evolutionary algorithms and applications, with additional work in RNA and protein synthesis mechanisms, scheduling and optimization algorithms, optimal experimental design methods, and process optimization and integration.

Their publication record includes work in various scientific venues, notably:

  • Engineering Optimization
  • Swarm and Evolutionary Computation
  • Applied Sciences
  • Mathematical and Computational Applications
  • Knowledge-Based Systems

Recent papers authored or co-authored by Antonio J. Nebro cover a range of topics in optimization and computational methods. These include:

  • "A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems," 2021, Swarm and Evolutionary Computation
  • "Energy-Aware Multi-Objective Job Shop Scheduling Optimization with Metaheuristics in Manufacturing Industries: A Critical Survey, Results, and Perspectives," 2022, Applied Sciences
  • "Is NSGA-II Ready for Large-Scale Multi-Objective Optimization?", 2022, Mathematical and Computational Applications
  • "TITAN: A knowledge-based platform for Big Data workflow management," 2021, Knowledge-Based Systems
  • "Merge Nondominated Sorting Algorithm for Many-Objective Optimization," 2020, IEEE Transactions on Cybernetics

The scientist frequently collaborates with several co-authors, with multiple joint publications documented with:

  • José García-Nieto
  • José F. Aldana-Montes
  • José F. Aldana-Martín
  • Carlos A. Coello Coello
  • María del Mar Roldán-García

Antonio J. Nebro's subfields of study demonstrate a multidisciplinary approach combining computational and biological sciences. Sub-disciplines include:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Molecular Biology
  • Industrial and Manufacturing Engineering
  • Computer Networks and Communications

Best Publications

  • jMetal: A Java framework for multi-objective optimization

    Juan J. Durillo;Antonio J. Nebro

  • SMPSO: A new PSO-based metaheuristic for multi-objective optimization

    A.J. Nebro;J.J. Durillo;J. Garcia-Nieto;C.A. Coello Coello

  • MOCell: A cellular genetic algorithm for multiobjective optimization

    Antonio J. Nebro;Juan J. Durillo;Francisco Luna;Bernabé Dorronsoro

  • AbYSS: Adapting Scatter Search to Multiobjective Optimization

    Antonio J. Nebro;Francisco Luna;Enrique Alba;BernabÉ Dorronsoro

  • MOCell: A cellular genetic algorithm for multiobjective optimization

    Unknown

  • A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems

    Eneko Osaba;Esther Villar-Rodriguez;Javier Del Ser;Antonio J. Nebro

  • The jMetal framework for multi-objective optimization: Design and architecture

    Juan J. Durillo;Antonio J. Nebro;Enrique Alba

  • A survey of multi-objective metaheuristics applied to structural optimization

    Gustavo R. Zavala;Antonio J. Nebro;Francisco Luna;Carlos A. Coello Coello

  • Multi-Objective Particle Swarm Optimizers: An Experimental Comparison

    Juan J. Durillo;José García-Nieto;Antonio J. Nebro;Carlos A. Coello

  • jMetalPy: A Python framework for multi-objective optimization with metaheuristics

    Antonio Benítez-Hidalgo;Antonio J. Nebro;José García-Nieto;Izaskun Oregi

  • Redesigning the jMetal Multi-Objective Optimization Framework

    Antonio J. Nebro;Juan J. Durillo;Matthieu Vergne

  • jMetal: a Java Framework for Developing Multi-Objective Optimization Metaheuristics

    Juan J. Durillo;Antonio J. Nebro;Francisco Luna;Bernabe Dorronsoro

  • A Study of Multiobjective Metaheuristics When Solving Parameter Scalable Problems

    J J Durillo;A J Nebro;C A C Coello;José García-Nieto

  • A cellular multi-objective genetic algorithm for optimal broadcasting strategy in metropolitan MANETs

    E. Alba;B. Dorronsoro;F. Luna;A. J. Nebro

  • Heterogeneous computing and parallel genetic algorithms

    Enrique Alba;Antonio J. Nebro;José M. Troya

  • A study of the bi-objective next release problem

    Juan J. Durillo;Yuanyuan Zhang;Enrique Alba;Mark Harman

  • Why Is Optimization Difficult

    Thomas Weise;Michael W. Zapf;Raymond Chiong;Antonio J. Nebro

  • Design issues in a multiobjective cellular genetic algorithm

    Antonio J. Nebro;Juan J. Durillo;Francisco Luna;Bernabé Dorronsoro

  • A study of master-slave approaches to parallelize NSGA-II

    J.J. Durillo;A.J. Nebro;F. Luna;E. Alba

  • Multi-objective optimization using metaheuristics: non-standard algorithms

    El-Ghazali Talbi;El-Ghazali Talbi;Matthieu Basseur;Antonio J. Nebro;Enrique Alba

  • Parallel heterogeneous genetic algorithms for continuous optimization

    E. Alba;F. Luna;A. J. Nebro;J. M. Troya

Frequent Co-Authors

Enrique Alba
Enrique Alba University of Malaga
Juan J. Durillo
Juan J. Durillo Leibniz Supercomputing Centre
Javier Del Ser
Javier Del Ser University of the Basque Country
José M. Troya
José M. Troya University of Malaga
Pascal Bouvry
Pascal Bouvry University of Luxembourg
El-Ghazali Talbi
El-Ghazali Talbi University of Lille
Kaisa Miettinen
Kaisa Miettinen University of Jyväskylä
Ana L. C. Bazzan
Ana L. C. Bazzan Federal University of Rio Grande do Sul
Xiaodong Li
Xiaodong Li University of Virginia

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