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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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Academic Group



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:




Academic Group

Consult the information provided by the Academic Group




Some examples of publications

Select the bibliographic reference to consult each publication:


Open Access References UN SDGs
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 |
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,| 9 |
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
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
García-Nájera, A., Zapotecas-Martínez, S., Miranda, K. (2021).Analysis of the multi-objective cluster head selection problem in WSNs. Applied Soft Computing,112
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
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
Miranda, K., Zapotecas-Martínez, S., López-Jaimes, A. and 1 more (...) (2019).A comparison of bio-inspired approaches for the cluster-head selection problem in wsn. EAI/Springer Innovations in Communication and Computing,165-187
Zapotecas-Martínez, S., García-Nájera, A., López-Jaimes, A. (2019).Multi-objective grey wolf optimizer based on decomposition. Expert Systems with Applications,120357-371
Zapotecas-Martínez, S., López-Jaimes, A., García-Nájera, A. (2019).LIBEA: A Lebesgue Indicator-Based Evolutionary Algorithm for multi-objective optimization. Swarm and Evolutionary Computation,44404-419
Zapotecas-Martínez, S., López-Jaimes, A., Miranda, K. and 1 more (...) (2018).Decomposition-based Multi-Objective Evolutionary Optimization for Cluster-Head Selection in WSNs. 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings,
García-Nájera, A., López-Jaimes, A., Zapotecas-Martínez, S. (2018).On the many-objective pickup and delivery problem: Analysis of the performance of three evolutionary algorithms. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),1063269-81
Vega-Velázquez, M.Á., García-Nájera, A., Cervantes, H. (2018).A survey on the Software Project Scheduling Problem. International Journal of Production Economics,202145-161
García-Nájera, A., López-Jaimes, A. (2018).An investigation into many-objective optimization on combinatorial problems: Analyzing the pickup and delivery problem. Swarm and Evolutionary Computation,38218-230
Jaimes, A.L., García-Nájera, A. (2016).Discrete many-objective optimization problems: The case of the pickup and delivery problem. 2016 IEEE Congress on Evolutionary Computation, CEC 2016,1123-1130
García-Nájera, A., Bullinaria, J.A., Gutiérrez-Andrade, M.A. (2015).An evolutionary approach for multi-objective vehicle routing problems with backhauls. Computers and Industrial Engineering,8190-108
García-Nájera, A., Brizuela, C.A., Martínez-Pérez, I.M. (2015).An efficient genetic algorithm for setup time minimization in PCB assembly. International Journal of Advanced Manufacturing Technology,77(5-8) 973-989
García-Nájera, A., Gómez-Fuentes, M.C. (2014).A multi-objective genetic algorithm for the software project scheduling problem. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),885713-24
Garcia-Najera, A., Gutierrez-Andrade, M.A. (2013).An evolutionary approach to the multi-objective pickup and delivery problem with time windows. 2013 IEEE Congress on Evolutionary Computation, CEC 2013,997-1004

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Courses offered

*Courses are conducted in spanish

Num.Trim.Course NameLevel
1
23O
Proyecto Terminal ILicenciatura
2
23O
Proyecto Terminal IILicenciatura
3
23O
Estructuras de Datos LinealesLicenciatura
4
23O
Seminario IIPosgrado
5
23O
Proyecto de Investigación IIPosgrado
6
23O
Proyecto de Investigación IIIPosgrado
7
23O
Métodos DiscretosPosgrado
8
23P
Programación Orientada a ObjetosLicenciatura
9
23P
Proyecto Terminal ILicenciatura
10
23P
Proyecto Terminal IIILicenciatura
11
23P
Proyecto Terminal IIILicenciatura
12
23P
Computación EvolutivaLicenciatura
13
23P
Proyecto de Investigación IPosgrado
14
23P
Computación EvolutivaPosgrado
15
23P
Teoría de Graficas AvanzadaPosgrado
16
23I
Programación EstructuradaLicenciatura
17
23I
Proyecto Terminal IILicenciatura
18
23I
Seminario IPosgrado
19
22O
Temas Selectos de Matemáticas Aplicadas ILicenciatura
20
22O
Temas Selectos de Matemáticas Aplicadas IILicenciatura
21
22O
Temas Selectos de Matemáticas Aplicadas IVLicenciatura
22
22O
Taller de AlgoritmosLicenciatura
23
22O
Temas Selectos en Computación ILicenciatura
24
22O
Temas Selectos en Computación IILicenciatura
25
22O
Proyecto Terminal ILicenciatura
26
22O
Proyecto Terminal IIILicenciatura
27
22O
Proyecto Terminal IIILicenciatura
28
22O
Proyecto de Investigación IIIPosgrado
29
22O
Modelos ComputacionalesPosgrado
30
22P
Proyecto Terminal IILicenciatura
31
22P
Análisis y Diseño de AlgoritmosLicenciatura
32
22P
Proyecto Terminal ILicenciatura
33
22P
Proyecto Terminal IIILicenciatura
34
22P
Proyecto de Investigación IIPosgrado
35
22I
Proyecto Terminal IIILicenciatura
36
22I
Proyecto Terminal IIILicenciatura
37
22I
Inteligencia de EnjambreLicenciatura
38
22I
Proyecto Terminal IIILicenciatura
39
22I
Proyecto de Investigación IPosgrado
40
22I
Estructuras de Datos No LinealesLicenciatura
41
22I
Proyecto Terminal IILicenciatura
42
22I
Proyecto Terminal IIILicenciatura
43
21O
Seminario IIPosgrado
44
21O
Seminario IPosgrado
45
21O
Proyecto Terminal ILicenciatura
46
21O
Proyecto Terminal IILicenciatura
47
21O
Computación EvolutivaLicenciatura
48
21O
Taller de AlgoritmosLicenciatura
49
21O
Taller de AlgoritmosLicenciatura
50
21P
Proyecto Terminal ILicenciatura
51
21P
Análisis y Diseño de AlgoritmosLicenciatura
52
21P
Proyecto Terminal ILicenciatura
53
21P
Proyecto Terminal ILicenciatura
54
21P
Proyecto Terminal ILicenciatura
55
21P
Optativa de Movilidad de Intercambio ILicenciatura
56
21P
Optativa de Movilidad de Intercambio ILicenciatura
57
21P
Optativa de Movilidad de Intercambio ILicenciatura
58
21P
Optativa de Movilidad de Intercambio ILicenciatura
59
21P
Optativa de Movilidad de Intercambio ILicenciatura
60
21P
Optativa de Movilidad de Intercambio ILicenciatura
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Universidad Autónoma Metropolitana, 2024.