Jorge M. Cruz-Duarte

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Optimisation Problems

Job Shop Scheduling

Top Venues

Publications

Jose M. Tapia-Avitia, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay
Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems. Swarm Evol. Comput. 89 (2024)
Gustavo de Jesús Machado-Guillén, Jorge M. Cruz-Duarte, Santiago E. Conant-Pablos, Katarzyna Filus
Harnessing Machine Learning for Reliable Weather Forecasting: Meteorological Impact on Sustainable Energy in Monterrey. CEC (2024)
Emilio Bernal-Zubieta, Jesús Guillermo Falcón-Cardona, Jorge M. Cruz-Duarte
DeepEMO: A Multi-indicator Convolutional Neural Network-Based Evolutionary Multi-objective Algorithm. EvoApplications@EvoStar (2024)
Daniel F. Zambrano-Gutierrez, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya, Juan Gabriel Aviña-Cervantes
Beyond Traditional Tuning: Unveiling Metaheuristic Operator Trends in PID Control Tuning for Automatic Voltage Regulation. CEC (2024)
Guillermo Pérez-Espinosa, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay
Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications. CEC (2024)
Maria Torcoroma Benavides-Robles, Gerardo Humberto Valencia-Rivera, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss
Robotic Mobile Fulfillment System: A Systematic Review. IEEE Access 12 (2024)
Gabriel Gonzalez-Sahagun, Santiago Enrique Conant-Pablos, José Carlos Ortiz-Bayliss, Jorge M. Cruz-Duarte
A Generalist Reinforcement Learning Agent for Compressing Convolutional Neural Networks. IEEE Access 12 (2024)
Gerardo Humberto Valencia-Rivera, Maria Torcoroma Benavides-Robles, Alonso Vela Morales, Iván Amaya, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Juan Gabriel Aviña-Cervantes
A systematic review of metaheuristic algorithms in electric power systems optimization. Appl. Soft Comput. 150 (2024)
Diego Acosta-Ugalde, Jorge M. Cruz-Duarte, Santiago E. Conant-Pablos, Jesús Guillermo Falcón-Cardona
Beyond 'Novel' Metaphor-based Metaheuristics: An Interactive Algorithm Design Software. CEC (2024)
Alonso Vela, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya
Recursive Hyper-Heuristics for the Job Shop Scheduling Problem. CEC (2023)
Gerardo Humberto Valencia-Rivera, José Carlos Ortiz-Bayliss, Jorge M. Cruz-Duarte, Iván Amaya, Juan Gabriel Aviña-Cervantes
Hyper-Heuristics Meet Controller Design: Improving Electrical Grid Performance through Microgrids. CEC (2023)
Maria Torcoroma Benavides-Robles, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya
On the Feasibility of Using a High-Level Solver within Robotic Mobile Fulfillment Systems. SSCI (2023)
Daniel F. Zambrano-Gutierrez, Alberto C. Molina-Porras, Emmanuel Ovalle-Magallanes, Iván Amaya, José Carlos Ortiz-Bayliss, Juan Gabriel Aviña-Cervantes, Jorge M. Cruz-Duarte
SIGNRL: A Population-Based Reinforcement Learning Method for Continuous Control. SSCI (2023)
Daniel F. Zambrano-Gutierrez, Alberto C. Molina-Porras, Juan Gabriel Aviña-Cervantes, Rodrigo Correa, Jorge M. Cruz-Duarte
Designing Heuristic-Based Tuners for PID Controllers in Automatic Voltage Regulator Systems Using an Automated Hyper-Heuristic Approach. SSCI (2023)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Nelishia Pillay
A Transfer Learning Hyper-heuristic Approach for Automatic Tailoring of Unfolded Population-based Metaheuristics. CEC (2022)
Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya
MatHH: A Matlab-based Hyper-Heuristic framework. SoftwareX 18 (2022)
Jose M. Tapia-Avitia, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay
A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems. CEC (2022)
Alonso Vela, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya
Beyond Hyper-Heuristics: A Squared Hyper-Heuristic Model for Solving Job Shop Scheduling Problems. IEEE Access 10 (2022)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Nelishia Pillay
Automated Design of Unfolded Metaheuristics and the Effect of Population Size. CEC (2021)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Rodrigo Correa
Solving microelectronic thermal management problems using a generalized spiral optimization algorithm. Appl. Intell. 51 (8) (2021)
Alonso Vela, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya
Tailoring Job Shop Scheduling Problem Instances Through Unified Particle Swarm Optimization. IEEE Access 9 (2021)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Yong Shi
Hyper-Heuristics to customise metaheuristics for continuous optimisation. Swarm Evol. Comput. 66 (2021)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Nelishia Pillay
Naïve Hyper-heuristic Online Learning to Generate Unfolded Population-based Metaheuristics to Solve Continuous Optimization Problems. SSCI (2021)
Melissa Sánchez, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya
Sequence-Based Selection Hyper-Heuristic Model via MAP-Elites. IEEE Access 9 (2021)
Erick Lara-Cárdenas, Xavier Sánchez-Díaz, Iván Amaya, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss
A Genetic Programming Framework for Heuristic Generation for the Job-Shop Scheduling Problem. MICAI (1) (2020)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Yong Shi
CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search. SoftwareX 12 (2020)
Erick Lara-Cárdenas, Arturo Silva-Gálvez, José Carlos Ortiz-Bayliss, Iván Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín
Exploring Reward-based Hyper-heuristics for the Job-shop Scheduling Problem. SSCI (2020)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
A Primary Study on Hyper-Heuristics to Customise Metaheuristics for Continuous optimisation. CEC (2020)
Xavier Sánchez, José Carlos Ortiz-Bayliss, Iván Amaya, Jorge M. Cruz-Duarte, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
A Preliminary Study on Feature-independent Hyper-heuristics for the 0/1 Knapsack Problem. CEC (2020)
Arturo Silva-Gálvez, Jorge Orozco-Sanchez, Erick Lara-Cárdenas, José Carlos Ortiz-Bayliss, Iván Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín
Discovering Action Regions for Solving the Bin Packing Problem through Hyper-heuristics. SSCI (2020)
Jorge M. Cruz-Duarte, J. Juan Rosales-García, Carlos Rodrigo Correa-Cely
Entropy Generation in a Mass-Spring-Damper System Using a Conformable Model. Symmetry 12 (3) (2020)
Melissa Sánchez, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Hector G. Ceballos, Hugo Terashima-Marín, Iván Amaya
A Systematic Review of Hyper-Heuristics on Combinatorial Optimization Problems. IEEE Access 8 (2020)
Arturo Silva-Gálvez, Erick Lara-Cárdenas, Iván Amaya, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss
A Preliminary Study on Score-Based Hyper-heuristics for Solving the Bin Packing Problem. MCPR (2020)
Hugo Aguirre-Ramos, Juan Gabriel Aviña-Cervantes, Elisee Ilunga-Mbuyamba, Jorge M. Cruz-Duarte, Ivan Cruz-Aceves, Eloisa Gallegos-Arellano
Conic sections fitting in disperse data using Differential Evolution. Appl. Soft Comput. 85 (2019)
Fernando Garza-Santisteban, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
Influence of Instance Size on Selection Hyper-Heuristics for Job Shop Scheduling Problems. SSCI (2019)
Jorge M. Cruz-Duarte, J. Juan Rosales-García, Carlos Rodrigo Correa-Cely, Arturo Garcia-Perez, Juan Gabriel Aviña-Cervantes
A closed form expression for the Gaussian-based Caputo-Fabrizio fractional derivative for signal processing applications. Commun. Nonlinear Sci. Numer. Simul. 61 (2018)
L. Martínez-Jiménez, Jorge M. Cruz-Duarte, J. J. Rosales, Iván Cruz-Aceves
Enhancement of Vessels in Coronary Angiograms Using a Hessian Matrix Based on Grunwald-Letnikov Fractional Derivative. ICBET (2018)
Jorge M. Cruz-Duarte, Juan Gabriel Aviña-Cervantes, Ivan M. Amaya-Contreras, Carlos Rodrigo Correa-Cely
Design of an Optimal Heat Sink for Microelectronic Devices Using Entropy Generation Minimization. MICAI (Special Sessions) (2015)