World's Best Scientists 2026 revealed!
Carlos A. Coello Coello

Carlos A. Coello Coello

Award Badge
Computer Science
Mexico
2026

D-Index & Metrics

Computer Science

D-Index
104
Citations
67853
World Ranking
297
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Computer Science in Mexico Leader Award
  • 2025 - Research.com Computer Science in Mexico Leader Award
  • 2023 - Research.com Computer Science in Mexico Leader Award
  • 2022 - Research.com Computer Science in Mexico Leader Award
  • 2013 - IEEE Kiyo Tomiyasu Award “For pioneering contributions to single and multiobjective optimization techniques using bioinspired metaheuristics.”
  • 2011 - IEEE Fellow For contributions to multi-objective optimization and constraint-handling techniques

Overview

Carlos A. Coello Coello is affiliated with CINVESTAV in Mexico. Their primary field of study is Computer Science, with a focus on several subfields including Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Industrial and Manufacturing Engineering, and Electrical and Electronic Engineering.

Their research work extensively covers topics such as Advanced Multi-Objective Optimization Algorithms, Metaheuristic Optimization Algorithms Research, Evolutionary Algorithms and Applications, Optimal Experimental Design Methods, Scheduling and Optimization Algorithms, Machine Learning and Data Classification, and Vehicle Routing Optimization Methods.

Frequent coauthors collaborating with Carlos A. Coello Coello include Qiuzhen Lin, Hussein A. Abbass, Georgios N. Yannakakis, Yongduan Song, and Jesús Guillermo Falcón-Cardona.

They have published in a variety of venues, with notable contributions appearing in:

  • IEEE Computational Intelligence Magazine
  • Swarm and Evolutionary Computation
  • IEEE Transactions on Evolutionary Computation
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • IEEE Transactions on Cybernetics

Some recent papers authored or coauthored by Carlos A. Coello Coello include:

  • "A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems," 2021, Swarm and Evolutionary Computation
  • "Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces," 2020, IEEE Transactions on Evolutionary Computation
  • "Indicator-based Multi-objective Evolutionary Algorithms," 2020, ACM Computing Surveys
  • "Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing," 2022, Knowledge-Based Systems
  • "An Ensemble Surrogate-Based Framework for Expensive Multiobjective Evolutionary Optimization," 2021, IEEE Transactions on Evolutionary Computation

Carlos A. Coello Coello has also contributed to book publications including works published by Springer International Publishing and Springer Science+Business Media. Titles include "Advances in Data-Driven Computing and Intelligent Systems" (2023 and 2024) and "Innovations in Intelligent Computing and Communication" (2022).

They have received recognitions such as the IEEE Kiyo Tomiyasu Award in 2013 for pioneering contributions to single and multiobjective optimization techniques using bioinspired metaheuristics. Additionally, they were named IEEE Fellow in 2011 for contributions to multi-objective optimization and constraint-handling techniques.

Best Publications

  • Evolutionary Algorithms for Solving Multi-Objective Problems

    Unknown

  • Handling multiple objectives with particle swarm optimization

    C.A.C. Coello;G.T. Pulido;M.S. Lechuga

  • MOPSO: a proposal for multiple objective particle swarm optimization

    C.A. Coello Coello;M.S. Lechuga

  • THEORETICAL AND NUMERICAL CONSTRAINT-HANDLING TECHNIQUES USED WITH EVOLUTIONARY ALGORITHMS: A SURVEY OF THE STATE OF THE ART

    Carlos A Coello Coello

  • Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)

    Carlos A. Coello Coello;Gary B. Lamont;David A. Van Veldhuizen

  • A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques

    Carlos A. Coello Coello

  • Evolutionary multi-objective optimization: a historical view of the field

    C.A. Coello Coello

  • Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art

    Unknown

  • Use of a self-adaptive penalty approach for engineering optimization problems

    Carlos A. Coello Coello

  • Constraint-Handling in Nature-Inspired Numerical Optimization: Past, Present and Future

    Efrén Mezura-Montes;Carlos A. Coello Coello

  • Solving Multiobjective Optimization Problems Using an Artificial Immune System

    Carlos A. Coello;Nareli Cruz Cortés

  • An updated survey of GA-based multiobjective optimization techniques

    Carlos A. Coello

  • Constraint-handling in genetic algorithms through the use of dominance-based tournament selection

    Carlos A. Coello Coello;Efrén Mezura Montes

  • Improving PSO-Based multi-objective optimization using crowding, mutation and ∈-dominance

    Margarita Reyes Sierra;Carlos A. Coello Coello

  • Applications of Multi-Objective Evolutionary Algorithms

    Carlos A. Coello Coello;Gary B. Lamont

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

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

  • A simple multimembered evolution strategy to solve constrained optimization problems

    E. Mezura-Montes;C.A.C. Coello

  • A comparative study of differential evolution variants for global optimization

    Efrñn Mezura-Montes;Jesús Velázquez-Reyes;Carlos A. Coello Coello

  • Problem Deflnitions and Evaluation Criteria for the CEC 2006 Special Session on Constrained Real-Parameter Optimization

    J. J. Liang;Thomas Philip Runarsson;Efren Mezura-Montes;Maurice Clerc

  • A Micro-Genetic Algorithm for Multiobjective Optimization

    Carlos A. Coello Coello;Gregorio Toscano Pulido

  • Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization

    O. Schutze;X. Esquivel;A. Lara;C. A. C. Coello

  • Bio-inspired computation: Where we stand and what's next

    Javier Del Ser;Javier Del Ser;Eneko Osaba;Daniel Molina;Xin-She Yang

Frequent Co-Authors

Qiuzhen Lin
Qiuzhen Lin Shenzhen University
Antonio J. Nebro
Antonio J. Nebro University of Malaga
El-Ghazali Talbi
El-Ghazali Talbi University of Lille
Saber M. Elsayed
Saber M. Elsayed University of New South Wales
Juan J. Durillo
Juan J. Durillo Leibniz Supercomputing Centre
Ruhul A. Sarker
Ruhul A. Sarker University of New South Wales
Enrique Alba
Enrique Alba University of Malaga
Jianqiang Li
Jianqiang Li Beijing University of Technology
Swagatam Das
Swagatam Das Indian Statistical Institute
Hugo Jair Escalante
Hugo Jair Escalante National Institute of Astrophysics, Optics and Electronics

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 related online degrees can open up diverse career pathways in Computer Science and beyond. If you're unsure which major to pursue, reviewing the best degree options can help align your interests and career goals.

For those looking to advance quickly, there are masters degrees considered less intensive, allowing you to specialize while balancing work or other commitments. The growing availability of online programs also means you can study at your own pace and from anywhere.

Pursuing doctoral studies online has become more accessible, and students seeking budget-friendly options should explore cheap doctoral programs. In the education field specifically, there are online edd programs affordable for those wanting to fast-track their leadership ambitions.

Whatever your educational aspirations, plenty of flexible and affordable online pathways can help you progress in the Computer Science field.

Best Scientists Citing Carlos A. Coello Coello

Trending Scientists

Recently Published Articles