World's Best Scientists 2026 revealed!

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Computer Science

D-Index
32
Citations
6258
World Ranking
12953
National Ranking
631

Overview

Juan J. Durillo is affiliated with the Leibniz Supercomputing Centre in Germany. Their research primarily focuses on the field of Computer Science, with significant contributions to subfields such as Computer Networks and Communications, Information Systems, Computational Theory and Mathematics, Artificial Intelligence, and Management Science and Operations Research.

The main topics covered by Durillo's work include Cloud Computing and Resource Management, Advanced Multi-Objective Optimization Algorithms, Advanced Data Storage Technologies, IoT and Edge/Fog Computing, Software-Defined Networks and 5G, Metaheuristic Optimization Algorithms Research, and Optimal Experimental Design Methods.

Durillo has coauthored publications with several researchers, including:

  • José F. Aldana-Martín
  • Antonio J. Nebro
  • María del Mar Roldán-García
  • Ennio Torre
  • Vincenzo De Maio

Their frequent publication venues are:

  • Information and Software Technology
  • SoftwareX
  • arXiv (Cornell University)
  • Engineering Optimization

Recent papers authored by Juan J. Durillo include:

  • "A dynamic evolutionary multi-objective virtual machine placement heuristic for cloud data centers" (2020) published in Information and Software Technology
  • "Evolver: Meta-optimizing multi-objective metaheuristics" (2023) published in SoftwareX
  • "Survey of adaptive containerization architectures for HPC" (2023) published in arXiv (Cornell University)
  • "Leveraging large language models for the automatic implementation of problems in optimization frameworks" (2025) published in Engineering Optimization

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

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

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

  • Multi-Objective Particle Swarm Optimizers: An Experimental Comparison

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

  • Redesigning the jMetal Multi-Objective Optimization Framework

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

  • Multi-objective workflow scheduling in Amazon EC2

    Juan J. Durillo;Radu Prodan

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

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

  • Multi-objective energy-efficient workflow scheduling using list-based heuristics

    Juan José Durillo;Vlad Nae;Radu Prodan

  • A Study of Multiobjective Metaheuristics When Solving Parameter Scalable Problems

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

  • MOHEFT: A multi-objective list-based method for workflow scheduling

    Juan J. Durillo;Hamid Mohammadi Fard;Radu Prodan

  • A study of the bi-objective next release problem

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

  • Design issues in a multiobjective cellular genetic algorithm

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

  • A multi-objective auto-tuning framework for parallel codes

    Herbert Jordan;Peter Thoman;Juan J. Durillo;Simone Pellegrini

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

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

  • Predicting Workflow Task Execution Time in the Cloud Using A Two-Stage Machine Learning Approach

    Thanh-Phuong Pham;Juan J. Durillo;Thomas Fahringer

  • A Study of the Multi-objective Next Release Problem

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

  • Solving Three-Objective Optimization Problems Using a New Hybrid Cellular Genetic Algorithm

    Juan José Durillo;Antonio Jesús Nebro;Francisco Luna;Enrique Alba

  • A novel multi-objective evolutionary algorithm with fuzzy logic based adaptive selection of operators: FAME

    Alejandro Santiago;Bernabé Dorronsoro;Antonio J. Nebro;Juan J. Durillo

  • Optimal antenna placement using a new multi-objective chc algorithm

    Antonio J. Nebro;Enrique Alba;Guillermo Molina;Francisco Chicano

Frequent Co-Authors

Antonio J. Nebro
Antonio J. Nebro University of Malaga
Enrique Alba
Enrique Alba University of Malaga
Radu Prodan
Radu Prodan University of Innsbruck
Thomas Fahringer
Thomas Fahringer University of Innsbruck
Stefano Ermon
Stefano Ermon Stanford University
Mark Harman
Mark Harman University College London
Javier Del Ser
Javier Del Ser University of the Basque Country
Pascal Bouvry
Pascal Bouvry University of Luxembourg
Gagangeet Singh Aujla
Gagangeet Singh Aujla Durham University

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