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2020 – today
- 2024
[j15]Saúl Zapotecas Martínez
, Rolando Armas, Abel García-Nájera:
A multi-objective evolutionary approach for the electric vehicle charging stations problem. Expert Syst. Appl. 240: 122514 (2024)- [j14]Edwin Montes-Orozco, Karen Miranda, Abel García-Nájera, Juan-Carlos López-García:
On the analysis of collaboration networks between industry and academia: the Mexican case of the innovation incentive program. Scientometrics 129(3): 1523-1544 (2024) - 2023
- [j13]Saúl Zapotecas Martínez, Abel García-Nájera, Adriana Menchaca-Méndez:
Engineering applications of multi-objective evolutionary algorithms: A test suite of box-constrained real-world problems. Eng. Appl. Artif. Intell. 123(Part A): 106192 (2023) - 2021
- [j12]Abel García-Nájera, Saúl Zapotecas Martínez, Karen Miranda:
Analysis of the multi-objective cluster head selection problem in WSNs. Appl. Soft Comput. 112: 107853 (2021) - [j11]Victor Hugo Escandon Bailon, Humberto Cervantes Maceda, Abel García-Nájera, Saúl Zapotecas Martínez:
Analysis of the multi-objective release plan rescheduling problem. Knowl. Based Syst. 220: 106922 (2021) - [c15]Jesús Guillermo Falcón-Cardona, Saúl Zapotecas Martínez, Abel García-Nájera:
Pareto compliance from a practical point of view. GECCO 2021: 395-402 - [c14]Abel García-Nájera, Saúl Zapotecas Martínez, Jesús Guillermo Falcón-Cardona, Humberto Cervantes:
Multi-objective Release Plan Rescheduling in Agile Software Development. MICAI (1) 2021: 403-414 - 2020
- [c13]Saúl Zapotecas Martínez, Abel García-Nájera, Humberto Cervantes Maceda:
Multi-objective optimization in the agile software project scheduling using decomposition. GECCO Companion 2020: 1495-1502 - [c12]Abel García-Nájera, Saúl Zapotecas Martínez, Roberto Bernal Jaquez:
Selection Schemes Analysis in Genetic Algorithms for the Maximum Influence Problem. MICAI (1) 2020: 211-222
2010 – 2019
- 2019
- [j10]Saúl Zapotecas Martínez, Abel García-Nájera, Antonio López Jaimes:
Multi-objective grey wolf optimizer based on decomposition. Expert Syst. Appl. 120: 357-371 (2019) - [j9]Victor Hugo Escandon Bailon, Humberto Cervantes Maceda, Abel García-Nájera:
Aplicación de un algoritmo genético multiobjetivo para la replaneación de liberaciones en proyectos ágiles de software. Res. Comput. Sci. 148(8): 199-213 (2019) - [j8]Saúl Zapotecas Martínez, Antonio López Jaimes, Abel García-Nájera:
LIBEA: A Lebesgue Indicator-Based Evolutionary Algorithm for multi-objective optimization. Swarm Evol. Comput. 44: 404-419 (2019) - 2018
- [j7]Christian Iván Ledesma Bermúdez, Abel García-Nájera:
Detección de comunidades en redes sociales por medio de un algoritmo de agrupamiento dinámico en alta definición. Res. Comput. Sci. 147(5): 305-318 (2018) - [j6]Abel García-Nájera, Antonio López Jaimes:
An investigation into many-objective optimization on combinatorial problems: Analyzing the pickup and delivery problem. Swarm Evol. Comput. 38: 218-230 (2018) - [c11]Saúl Zapotecas Martínez, Antonio López Jaimes, Karen Miranda, Abel García-Nájera:
Decomposition-based Multi-Objective Evolutionary Optimization for Cluster-Head Selection in WSNs. CEC 2018: 1-8 - 2017
- [j5]Karen Miranda, Antonio López Jaimes, Abel García-Nájera:
Análisis multiobjetivo de la selección de líderes en redes inalámbricas de sensores. Res. Comput. Sci. 134: 111-125 (2017) - [c10]Abel García-Nájera, Antonio López Jaimes, Saúl Zapotecas Martínez:
On the Many-Objective Pickup and Delivery Problem: Analysis of the Performance of Three Evolutionary Algorithms. MICAI (1) 2017: 69-81 - 2016
- [j4]Christian Leonardo Camacho-Villalón, Abel García-Nájera, Miguel Angel Gutiérrez-Ándrade:
Algoritmo de optimización mediante forrajeo de bacterias híbrido para el problema de selección de portafolios con restricción de cardinalidad. Res. Comput. Sci. 116: 141-156 (2016) - [c9]Antonio López Jaimes, Abel García-Nájera:
Discrete many-objective optimization problems: The case of the pickup and delivery problem. CEC 2016: 1123-1130 - 2015
- [j3]Abel García-Nájera, John A. Bullinaria, Miguel Angel Gutiérrez-Ándrade:
An evolutionary approach for multi-objective vehicle routing problems with backhauls. Comput. Ind. Eng. 81: 90-108 (2015) - [j2]Abel García-Nájera, Antonio López Jaimes:
The Pickup and Delivery Problem: a Many-objective Analysis. Res. Comput. Sci. 104: 51-60 (2015) - 2014
- [c8]Abel García-Nájera, María del Carmen Gómez Fuentes:
A Multi-objective Genetic Algorithm for the Software Project Scheduling Problem. MICAI (2) 2014: 13-24 - 2013
- [c7]Abel García-Nájera, Miguel Angel Gutiérrez-Ándrade:
An evolutionary approach to the multi-objective pickup and delivery problem with time windows. IEEE Congress on Evolutionary Computation 2013: 997-1004 - 2012
- [c6]Abel García-Nájera:
The Vehicle Routing Problem with Backhauls: A Multi-objective Evolutionary Approach. EvoCOP 2012: 255-266 - 2011
- [j1]Abel García-Nájera, John A. Bullinaria:
An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows. Comput. Oper. Res. 38(1): 287-300 (2011) - 2010
- [b1]Abel García-Nájera:
Multi-Objective evolutionary algorithms for vehicle routing problems. University of Birmingham, UK, 2010 - [c5]Abel García-Nájera, John A. Bullinaria:
Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows. PPSN (2) 2010: 51-60
2000 – 2009
- 2009
- [c4]Abel García-Nájera, John A. Bullinaria:
Bi-objective Optimization for the Vehicle Routing Problem with Time Windows: Using Route Similarity to Enhance Performance. EMO 2009: 275-289 - [c3]Abel García-Nájera, John A. Bullinaria:
Comparison of similarity measures for the multi-objective vehicle routing problem with time windows. GECCO 2009: 579-586 - [c2]Abel García-Nájera:
Preserving population diversity for the multi-objective vehicle routing problem with time windows. GECCO (Companion) 2009: 2689-2692 - 2005
- [c1]Abel García-Nájera, Carlos A. Brizuela:
PCB assembly: an efficient genetic algorithm for slot assignment and component pick and place sequence problems. Congress on Evolutionary Computation 2005: 1485-1492
Coauthor Index
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