Carlos A. Coello Coello

Carlos A. Coello Coello
Researcher CINVESTAV 3-F
Department of Computer Science
Av. IPN No. 2508 Col. San Pedro Zacatenco
Mexico, D.F. 07360. MEXICO
Level in the National System of Researchers: 3
Personal page:

Phone:  +52 55 5747 3800 x 6564
Fax:   +52 55 5747 3757

Excelencia en Investigación

y Posgrado


· PhD in Computer Science, Tulane University, USA, 1996.
· MSc in Computer Science, Tulane University, USA, 1993.
· BSc in Civil Engineering, UNACH, Mexico, 1991.

Research Interests

I am interested in the design and implementation of bio-inspired metaheuristics for optimization (both single and multiobjective). Within my research group, we have developed a variety of new optimization approaches based on genetic algorithms, evolution strategies, particle swarm optimization, ant colony, differential evolution, artificial immune systems, genetic programming, and scatter search.

Keywords:   evolutionary multi-objective optimization, constrained evolutionary optimization, metaheuristics for optimization.


Selected Publications

1. Amín V. Bernabé Rodríguez, Braulio I. Alejo-Cerezo, Carlos A. Coello Coello, Improving multi-objective evolutionary algorithms using Grammatical Evolution, Swarm and Evolutionary Computation, Vol. 84, Article Number: 101434, February 2024.

2. Diana Cristina Valencia-Rodríguez and Carlos A. Coello Coello, Influence of the number of connections between particles in the performance of a multi-objective particle swarm optimizer, Swarm and Evolutionary Computation, Volume 77, Article Number: 101231, March 2023.

3. Jesús Guillermo Falcón-Cardona, Edgar Covantes Osuna, Carlos A. Coello Coello, Hisao Ishibuchi, On the utilization of pair-potential energy functions in multi-objective optimization, Swarm and Evolutionary Computation, Volume 79, Article Number: 101308, June 2023.

4. Junkai Ji, Jin Zhou, Zhangfan Yang, Qiuzhen Lin, Jianqiang Li and Carlos A. Coello Coello, AutoDock Koto: A Gradient Boosting Differential Evolution for Molecular Docking, IEEE Transactions on Evolutionary Computation, Vol. 27, No. 6, pp. 1648--1662, December 2023.

5. Saúl Zapotecas-Martínez, Carlos A. Coello Coello, Hernán E. Aguirre and Kiyoshi Tanaka, Challenging test problems for multi- and many-objective optimization, Swarm and Evolutionary Computation, Vol. 81, Article Number: 101350, August 2023.