Carlos A. Coello Coello

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

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


Excelencia en Investigación

y Posgrado

Education

· 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.

Biography

Selected Publications

1. Adriana Menchaca-Mendez and Carlos A. Coello Coello, Selection mechanisms based on the maximin fitness function to solve multi-objective optimization problems, Information Sciences, Vol. 332, pp. 131--152, March 1, 2016.

2. Jesús Guillermo Falcón-Cardona and Carlos A. Coello Coello, A New Indicator-Based Many-Objective Ant Colony Optimizer for Continuous Search Spaces, Swarm Intelligence, Vol. 11, No. 1, pp. 71--100, March 2017.

3. Alejandro Rosales-Pérez, Salvador García, Jesus A. Gonzalez, Carlos A. Coello Coello and Francisco Herrera, An Evolutionary Multi-Objective Model and Instance Selection for Support Vector Machines with Pareto-based Ensembles, IEEE Transactions on Evolutionary Computation, Vol. 21, No. 6, pp. 863--877, December 2017.

4. Luis Miguel Antonio and Carlos A. Coello Coello, Coevolutionary Multi-objective Evolutionary Algorithms: A Survey of the State-of-the-Art, IEEE Transactions on Evolutionary Computation, Vol. 22, No. 6, pp. 851--865, December 2018.

5. Luis Miguel Antonio, José A. Molinet Berenguer and Carlos A. Coello Coello, Evolutionary Many-objective Optimization based on Linear Assignment Problem Transformations, Soft Computing, Vol. 22, No. 6, pp. 5491--5512, August 2018.