Jorge M. Cruz-Duarte
Orcid: 0000-0003-4494-7864Affiliations:
- Monterrey Institute of Technology and Higher Education, School of Engineering and Science, Mexico
- Industrial University of Santander, Bucaramanga, Colombia
According to our database1,
Jorge M. Cruz-Duarte
authored at least 39 papers
between 2015 and 2024.
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Bibliography
2024
A systematic review of metaheuristic algorithms in electric power systems optimization.
Appl. Soft Comput., January, 2024
A Generalist Reinforcement Learning Agent for Compressing Convolutional Neural Networks.
IEEE Access, 2024
DeepEMO: A Multi-indicator Convolutional Neural Network-Based Evolutionary Multi-objective Algorithm.
Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024
2023
IEEE Access, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Designing Heuristic-Based Tuners for PID Controllers in Automatic Voltage Regulator Systems Using an Automated Hyper-Heuristic Approach.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
On the Feasibility of Using a High-Level Solver within Robotic Mobile Fulfillment Systems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Automatic Hyper-Heuristic to Generate Heuristic-based Adaptive Sliding Mode Controller Tuners for Buck-Boost Converters.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
Hyper-Heuristics Meet Controller Design: Improving Electrical Grid Performance through Microgrids.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Beyond Hyper-Heuristics: A Squared Hyper-Heuristic Model for Solving Job Shop Scheduling Problems.
IEEE Access, 2022
A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
A Transfer Learning Hyper-heuristic Approach for Automatic Tailoring of Unfolded Population-based Metaheuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Swarm Evol. Comput., 2021
Solving microelectronic thermal management problems using a generalized spiral optimization algorithm.
Appl. Intell., 2021
Tailoring Job Shop Scheduling Problem Instances Through Unified Particle Swarm Optimization.
IEEE Access, 2021
Optimization-Based Strategies for Optimal Inverse Parameters Estimation for Heat Transfer Systems.
IEEE Access, 2021
Naïve Hyper-heuristic Online Learning to Generate Unfolded Population-based Metaheuristics to Solve Continuous Optimization Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Symmetry, 2020
SoftwareX, 2020
IEEE Access, 2020
Discovering Action Regions for Solving the Bin Packing Problem through Hyper-heuristics.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
A Genetic Programming Framework for Heuristic Generation for the Job-Shop Scheduling Problem.
Proceedings of the Advances in Soft Computing, 2020
A Preliminary Study on Score-Based Hyper-heuristics for Solving the Bin Packing Problem.
Proceedings of the Pattern Recognition - 12th Mexican Conference, 2020
A Preliminary Study on Feature-independent Hyper-heuristics for the 0/1 Knapsack Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A Primary Study on Hyper-Heuristics to Customise Metaheuristics for Continuous optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Appl. Soft Comput., 2019
Influence of Instance Size on Selection Hyper-Heuristics for Job Shop Scheduling Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
2018
A closed form expression for the Gaussian-based Caputo-Fabrizio fractional derivative for signal processing applications.
Commun. Nonlinear Sci. Numer. Simul., 2018
Enhancement of Vessels in Coronary Angiograms Using a Hessian Matrix Based on Grunwald-Letnikov Fractional Derivative.
Proceedings of the 2018 8th International Conference on Biomedical Engineering and Technology, 2018
2016
Active contours driven by Cuckoo Search strategy for brain tumour images segmentation.
Expert Syst. Appl., 2016
2015
Appl. Math. Comput., 2015
Design of an Optimal Heat Sink for Microelectronic Devices Using Entropy Generation Minimization.
Proceedings of the Fourteenth Mexican International Conference on Artificial Intelligence, 2015