World's Best Scientists 2026 revealed!
Manuel López-Ibáñez

Manuel López-Ibáñez

D-Index & Metrics

Computer Science

D-Index
38
Citations
7651
World Ranking
10094
National Ranking
630

Overview

Manuel López-Ibáñez is affiliated with the University of Manchester in the United Kingdom and works primarily in the fields of Computer Science and Engineering. Their research spans several subfields, including Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Industrial and Manufacturing Engineering, and Management Science and Operations Research.

The scientist's research contributions focus on advanced topics within multi-objective optimization, metaheuristic optimization algorithms, and evolutionary algorithms. They have also published work related to process optimization and integration, machine learning and algorithms, manufacturing process optimization, and domain adaptation and few-shot learning.

Their recent papers cover a range of subjects and publication venues as follows:

  • Benchmarking in Optimization: Best Practice and Open Issues, 2020, arXiv (Cornell University)
  • General Northern English. Exploring Regional Variation in the North of England With Machine Learning, 2020, Frontiers in Artificial Intelligence
  • Visualizations for decision support in scenario-based multiobjective optimization, 2021, Information Sciences
  • Multi-Objective Archiving, 2023, IEEE Transactions on Evolutionary Computation
  • Predicting tweet impact using a novel evidential reasoning prediction method, 2020, Expert Systems with Applications

Frequent coauthors with whom Manuel López-Ibáñez has collaborated include:

  • Richard Allmendinger
  • Diederick Vermetten
  • Carola Doerr
  • Thomas Bäck
  • Joshua Knowles

The scientist has consistently published in several notable venues, including:

  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Evolutionary Computation

Manuel López-Ibáñez has also contributed to book publications, with a work titled Swarm Intelligence published by Springer Science+Business Media in 2022.

Best Publications

  • The irace package: Iterated racing for automatic algorithm configuration

    Manuel López-Ibáñez;Jérémie Dubois-Lacoste;Leslie Pérez Cáceres;Mauro Birattari

  • An Improved Dimension-Sweep Algorithm for the Hypervolume Indicator

    C.M. Fonseca;L. Paquete;M. Lopez-Ibanez

  • On the Complexity of Computing the Hypervolume Indicator

    N. Beume;C.M. Fonseca;M. Lopez-Ibanez;L. Paquete

  • Ant Colony Optimization for Optimal Control of Pumps in Water Distribution Networks

    Manuel López-Ibáñez;T. Devi Prasad;Ben Paechter

  • The Automatic Design of Multiobjective Ant Colony Optimization Algorithms

    M. Lopez-Ibanez;T. Stutzle

  • Parameter Adaptation in Ant Colony Optimization

    Thomas Stützle;Manuel López-Ibáñez;Paola Pellegrini;Michael Maur

  • Beam-ACO for the travelling salesman problem with time windows

    Manuel López-Ibáñez;Christian Blum

  • Exploratory Analysis of Stochastic Local Search Algorithms in Biobjective Optimization

    Manuel López-Ibáñez;Luís Paquete;Thomas Stützle

  • A hybrid TP+PLS algorithm for bi-objective flow-shop scheduling problems

    Jérémie Dubois-Lacoste;Manuel López-Ibáñez;Thomas Stützle

  • Construct, Merge, Solve & Adapt A new general algorithm for combinatorial optimization

    Christian Blum;Pedro Pinacho;Manuel López-Ibáñez;José A. Lozano

  • Automatic Component-Wise Design of Multiobjective Evolutionary Algorithms

    Leonardo C. T. Bezerra;Manuel Lopez-Ibanez;Thomas Stutzle

  • Automatically Improving the Anytime Behaviour of Optimisation Algorithms

    Manuel López-Ibáñez;Thomas Stützle

  • Automatic Configuration of Multi-Objective ACO Algorithms

    Manuel López-Ibáñez;Thomas Stützle

  • Hybrid Population-Based Algorithms for the Bi-Objective Quadratic Assignment Problem

    Manuel López-Ibáñez;Luís Paquete;Thomas Stützle

  • AClib: A Benchmark Library for Algorithm Configuration

    Frank Hutter;Manuel López-Ibáñez;Chris Fawcett;Marius Thomas Lindauer

  • On sequential online archiving of objective vectors

    Manuel López-Ibáñez;Joshua Knowles;Marco Laumanns

  • Anytime Pareto Local Search

    Jérémie Dubois-Lacoste;Manuel López-Ibáñez;Thomas Stützle

  • Benchmarking in Optimization: Best Practice and Open Issues

    Thomas Bartz-Beielstein;Carola Doerr;Jakob Bossek;Sowmya Chandrasekaran

  • Automated Design of Metaheuristic Algorithms

    Thomas Stützle;Manuel López-Ibáñez

  • irace: Iterated Racing for Automatic Algorithm Configuration

    Unknown

  • Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2019

    Manuel López-Ibáñez;Anne Auger;Thomas Stützle

  • The impact of design choices of multiobjective antcolony optimization algorithms on performance: an experimental study on the biobjective TSP

    Manuel López-Ibáñez;Thomas Stützle

  • Effective Hybrid Stochastic Local Search Algorithms for Biobjective Permutation Flowshop Scheduling

    Jérémie Dubois-Lacoste;Manuel López-Ibáñez;Thomas Stützle

Frequent Co-Authors

Thomas Stützle
Thomas Stützle Université Libre de Bruxelles
Christian Blum
Christian Blum Spanish National Research Council
Marco Dorigo
Marco Dorigo Université Libre de Bruxelles
Carlos M. Fonseca
Carlos M. Fonseca University of Coimbra
Mauro Birattari
Mauro Birattari Université Libre de Bruxelles
Joshua Knowles
Joshua Knowles University of Manchester
Kaisa Miettinen
Kaisa Miettinen University of Jyväskylä
Vito Trianni
Vito Trianni National Research Council (CNR)
Enrique Alba
Enrique Alba University of Malaga
Holger H. Hoos
Holger H. Hoos RWTH Aachen University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees opens up a world of flexible possibilities for students interested in Computer Science and related fields. For those seeking a quick entry point, online associates programs let you gain foundational skills in about two years—ideal for career changers or those eager to join the workforce faster.

Cost is a key consideration. Many reputable institutions offer some of the cheapest online degrees, helping students save money while earning a quality education. This can be especially important for international students or professionals looking to upskill without breaking the bank.

Admission criteria also vary. If your academic background is less than perfect, some college with low gpa requirements can offer you a pathway to a Computer Science degree even if your grades aren't the highest.

Career options are vast after graduation. Just as students ask, what can you get with an environmental science degree, Computer Science graduates can access diverse fields like software development, cybersecurity, data analysis, and IT consulting—many in high demand and well-paid roles.

Best Scientists Citing Manuel López-Ibáñez

Trending Scientists

Recently Published Articles