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Perfil investigador
Esp
Dr. Abel García Nájera

Professor
Departament of Applied Mathematics and Systems

Division of Natural Sciences and Engineering


Level 1
Member of the National System of Researchers
(SNII)

Engineering and Technological Development



Cuajimalpa Campus

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Sustainable Development Goals

• 9 Industry, Innovation and Infrastructure

• 11 Sustainable Cities and Communities


Research interests

• Multi-objective optimization
• Combinatorial optimization
• Bio-inspired computation
• Computational intelligence

Profile

Professor Abel García Nájera is an Electronics Engineer from the Universidad Autónoma Metropolitana (UAM), Iztapalapa Campus, Master in Computer Science from the Centro de Investigación Científica y de Educación Superior de Ensenada, and Ph.D. in Computer Science from the University of Birmingham, UK. From 2011 to 2013, he did a postdoctoral stay in the Area of Optimization and Artificial Intelligence of the Department of Electrical Engineering at UAM Iztapalapa Campus. Since 2013 he has been a Professor and Researcher attached to the Department of Applied Mathematics and Systems at UAM Cuajimalpa Campus.

In teaching, he supports the Bachelor's Degree in Computer Engineering and the Bachelor's Degree in Applied Mathematics offered by UAM Cuajimalpa Campus, as well as the Graduate Program in Natural Sciences and Engineering of the same institution, of which he is the current Coordinator of Studies. His research lines encompass the intersection of multi-objective combinatorial optimization and nature-inspired metaheuristics, which has applications in the design of vehicular routes, software engineering, influence analysis, and detection of communities in social networks, and in the optimization of investment portfolios.

He is part of the Academic Group "Computational Intelligence", which has a degree of consolidation In Formation and for which he is responsible. He has contributed in the two lines of generation or innovative application of knowledge that are cultivated in this Academic Body: Applications of computational intelligence and Algorithm design.

He is currently Level I of the National System of Researchers and has the appointment of Desirable Profile of the Program for the Professional Development of Teachers.



Information provided by the academic staff

Research interests

• Multi-objective optimization
• Combinatorial optimization
• Bio-inspired computation
• Computational intelligence

Academic Work

On the following pages you can consult the research work:



Other sites of interest

Consult the research work on other websites:






Some examples of publications

Select the bibliographic reference to consult each publication:


Open Access References UN SDGs
OARamos-Frutos, J., Casas-Ordaz, A., Zapotecas-Martínez, S. and 4 more (...) (2025).Enhancing Multi-Objective Optimization: A Decomposition-Based Approach Using the Whale Optimization Algorithm. Mathematics,13(5)
Valencia-Tapia, F., García-Nájera, A., Miranda, K. and 1 more (...) (2025).Segmentation of Astronomical Images Using Community Detection Optimized by Genetic Algorithms. 2025 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2025 - Conference Proceedings,
Montes-Orozco, E., Miranda, K., García-Nájera, A. and 1 more (...) (2024).On the analysis of collaboration networks between industry and academia: the Mexican case of the innovation incentive program. Scientometrics,129(3) 1523-1544| 9 |
Zapotecas-Martínez, S., Armas, R., García-Nájera, A. (2024).A multi-objective evolutionary approach for the electric vehicle charging stations problem. Expert Systems with Applications,240| 7 |
Zapotecas-Martínez, S., García-Nájera, A., Menchaca-Méndez, A. (2023).Engineering applications of multi-objective evolutionary algorithms: A test suite of box-constrained real-world problems. Engineering Applications of Artificial Intelligence,123
OAZapotecas-Martínez, S., García-Nájera, A., Menchaca-Méndez, A. (2022).Improved lebesgue indicator-based evolutionary algorithm: Reducing hypervolume computations. Mathematics,10(1)
Escandon-Bailon, V., Cervantes, H., García-Nájera, A. and 1 more (...) (2021).Analysis of the multi-objective release plan rescheduling problem. Knowledge-Based Systems,220
García-Nájera, A., Zapotecas-Martínez, S., Falcón-Cardona, J.G. and 1 more (...) (2021).Multi-objective Release Plan Rescheduling in Agile Software Development. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),13067403-414
García-Nájera, A., Zapotecas-Martínez, S., Miranda, K. (2021).Analysis of the multi-objective cluster head selection problem in WSNs. Applied Soft Computing,112
Falcón-Cardona, J.G., Zapotecas-Martínez, S., García-Nájera, A. (2021).Pareto compliance from a practical point of view. GECCO 2021 - Proceedings of the 2021 Genetic and Evolutionary Computation Conference,395-402
Gomez-Fuentes, M.C., Cervantes-Ojeda, J., Garcia-Najera, A. (2021).Association and Aggregation Class Relationships: Is there a Difference in Terms of Implementation?. Proceedings - 2021 9th International Conference in Software Engineering Research and Innovation, CONISOFT 2021,44-53
Zapotecas-Martínez, S., García-Nájera, A., Cervantes, H. (2020).Multi-objective optimization in the agile software project scheduling using decomposition. GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion,1495-1502
García-Nájera, A., Zapotecas-Martínez, S., Bernal-Jaquez, R. (2020).Selection Schemes Analysis in Genetic Algorithms for the Maximum Influence Problem. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),12468211-222

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Courses taught by the professor in recent trimesters

*Courses are conducted in spanish

Num.Trim.Course NameLevel
1
26I
Proyecto de Investigación IIIPosgrado
2
26I
Proyecto Terminal IILicenciatura
3
26I
Proyecto Terminal IILicenciatura
4
26I
Proyecto Terminal IIILicenciatura
5
26I
Proyecto Terminal IIILicenciatura
6
26I
Temas Selectos IIPosgrado
7
26I
Temas Selectos IIPosgrado
8
26I
Estructuras de Datos No LinealesLicenciatura
9
25O
Proyecto de Investigación IIPosgrado
10
25O
Temas Selectos IIIPosgrado
11
25O
Seminario IIPosgrado
12
25O
Proyecto Terminal IIILicenciatura
13
25O
Proyecto Terminal IILicenciatura
14
25O
Proyecto Terminal IILicenciatura
15
25O
Proyecto Terminal IILicenciatura
16
25O
Estructuras de Datos LinealesLicenciatura
17
25O
Computación EvolutivaPosgrado
18
25P
Proyecto Terminal ILicenciatura
19
25P
Seminario IIIPosgrado
20
25P
Proyecto Terminal IILicenciatura
21
25P
Proyecto Terminal ILicenciatura
22
25P
Proyecto de Investigación IPosgrado
23
25P
OptimizaciónPosgrado
24
25P
Inteligencia de EnjambreLicenciatura
25
25P
Innovación, Transferencia de Tecnologías y PatentesPosgrado
26
25P
Análisis y Diseño de AlgoritmosLicenciatura
27
25I
Programación EstructuradaLicenciatura
28
25I
Proyecto de Investigación IIIPosgrado
29
25I
Proyecto Terminal IIILicenciatura
30
25I
Proyecto Terminal IIILicenciatura
31
25I
Seminario IPosgrado
32
24O
Proyecto de Investigación IIPosgrado
33
24O
Taller de AlgoritmosLicenciatura
34
24O
Seminario IIPosgrado
35
24O
Seminario de PosgradoPosgrado
36
24O
Proyecto Terminal IIILicenciatura
37
24O
Proyecto Terminal IILicenciatura
38
24O
Proyecto Terminal IILicenciatura
39
24O
Proyecto Terminal ILicenciatura
40
24P
Proyecto Terminal IIILicenciatura
41
24P
Química AmbientalPosgrado
42
24P
Seminario IIIPosgrado
43
24P
Temas Selectos IIIPosgrado
44
24P
Teoría de AlgoritmosPosgrado
45
24P
Proyecto Terminal ILicenciatura
46
24P
Proyecto Terminal ILicenciatura
47
24P
Proyecto de Investigación IPosgrado
48
24P
Matemáticas Aplicadas IIPosgrado
49
24P
Bases de DatosLicenciatura
50
24P
Proyecto Terminal IIILicenciatura
51
24I
Temas Selectos IIPosgrado
52
24I
Seminario IPosgrado
53
24I
Proyecto Terminal IIILicenciatura
54
24I
Proyecto Terminal IILicenciatura
55
24I
Proyecto Terminal IILicenciatura
56
24I
Proyecto de Investigación IIIPosgrado
57
24I
Estructuras de Datos No LinealesLicenciatura
58
23O
Estructuras de Datos LinealesLicenciatura
59
23O
Métodos DiscretosPosgrado
60
23O
Proyecto de Investigación IIPosgrado
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Universidad Autónoma Metropolitana, 2026.