Iván Amaya
Orcid: 0000-0002-8821-7137Affiliations:
- Tecnologico de Monterrey, School of Engineering and Sciences, Mexico
- Industrial University of Santander, School of Electrical, Electronic and Telecommunications Engineerings, Colombia
According to our database1,
Iván Amaya
authored at least 50 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A systematic review of metaheuristic algorithms in electric power systems optimization.
Appl. Soft Comput., January, 2024
Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems.
Swarm Evol. Comput., 2024
Beyond Traditional Tuning: Unveiling Metaheuristic Operator Trends in PID Control Tuning for Automatic Voltage Regulation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
IEEE Access, 2023
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
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
SCSV_IPS: A software for the estimation of the <i>shear coefficient of spin viscosity</i> during the movement of a ferrofluid under the effect of an external rotating magnetic field.
SoftwareX, 2021
Comput. Intell. Neurosci., 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
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
SpinUpFlowDescriptor: A MATLAB toolbox for ferrofluids materials under moderate and high amplitude and frequency of magnetic rotating fields in a spin-up geometry.
SoftwareX, 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
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
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
Improving Hyper-heuristic Performance for Job Shop Scheduling Problems Using Neural Networks.
Proceedings of the Advances in Soft Computing, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Exploring the Impact of Early Decisions in Variable Ordering for Constraint Satisfaction Problems.
Comput. Intell. Neurosci., 2018
IEEE Comput. Intell. Mag., 2018
Tailoring Instances of the 1D Bin Packing Problem for Assessing Strengths and Weaknesses of Its Solvers.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
An Experimental Study on Ant Colony Optimization Hyper-Heuristics for Solving the Knapsack Problem.
Proceedings of the Pattern Recognition - 10th Mexican Conference, 2018
2017
Proceedings of the Advances in Soft Computing, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2015
Finding resonant frequencies of microwave cavities through a modified harmony search algorithm.
Int. J. Bio Inspired Comput., 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
2014
Appl. Math. Comput., 2014
2013
Numerical solution of certain exponential and non-linear Diophantine systems of equations by using a discrete particle swarm optimization algorithm.
Appl. Math. Comput., 2013