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  • Dr. Iván Amaya
    Dr. Iván Amaya

Dr. Ivan Amaya Contreras

  • Contact Information
  • SNII Level
  • Education
  • Projects
  • Research Interests
  • Thesis
  • Publications
  • -

Contact Information:

Campus:

E-mail: iamaya2@tec.mx

Personal Web page:

ORCID: 0000-0002-8821-7137 

SNII Level: 1

Education:

  • B.Sc. in Mechatronics Engineering (2008), Autonomous University of Bucaramanga, Colombia.
  • Ph.D. in Engineering, with a specialization in Electronic Engineering (2015), Industrial University of Santander, Colombia.

Projects:

  • Feature Transformation for Improving Characterization Of Combinatorial Optimization Problems (Patrocinado por CONAHCyT, ahora SECIHTI) 
  • Development of hyper-heuristic models for tackling composite combinatorial optimization problems 
  • Hyper-heuristics for enhancing the performance of automated warehouses 
  • Development of hyper-heuristic models with enhanced generalization capabilities.

Research Interests:

  • Design and Application of Hyper-Heuristics for Continuous and Combinatorial Optimization Problems
  • Optimization-Based Solutions for Real-World Problems
  • Metaheuristics
  • Design of Advanced High-Level Methods for Optimization Problems

Thesis

Ph.D. : 

  • Hyper-Heuristics and Microgrids: Improving the Electrical Grid Using Renewable Energy, Gerardo Valencia, Ph.D. in Computer Science, Tecnológico de Monterrey (ITESM), 2025 (ongoing). Role: Primary Advisor.
  • Unraveling the Limits of Hyper-Heuristics: Recursive Hyper-Heuristics for Solving Combinatorial Optimization Problems, Alonso Vela, Ph.D. in Computer Science, Tecnológico de Monterrey (ITESM), 2025 (ongoing). Role: Primary Advisor.
  • Development of a High-Level Solver for Robotics and Control, Maria Benavides, Ph.D. in Computer Science, Tecnológico de Monterrey (ITESM), 2025 (ongoing). Role: Co-Advisor.

Master's

  • Beyond Hyper-Heuristics: Squared Hyper-Heuristics for Solving Job Shop Scheduling Problems, Alonso Vela, M.Sc. in Computer Science, Tecnológico de Monterrey (ITESM), 2021. Role: Primary Advisor.
  • Exploring Selection and Generation Hyper-Heuristic Approaches for the Job Shop Scheduling Problem, Erick Lara, M.Sc. in Computer Science, Tecnológico de Monterrey (ITESM), 2020. Role: Co-Advisor.
  • Feature Transformations for Improving the Performance of Generation Hyper-Heuristics on Job Shop Scheduling Problems, Fernando Garza, M.Sc. in Computer Science, Tecnológico de Monterrey (ITESM), 2019. Role: Co-Advisor.
  • Reconstruction of the Transient Temperature Profile and Surface Heat Flux in a Microwave-Heated Solid by Solving the Corresponding Inverse Thermal Problem Using Global Optimization Strategies, Edgar García, M.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2017. Role: Co-Advisor.
  • The Minimum Entropy Generation (MEG) Criterion for the Optimal Design of Heat Sinks and Its Solution Using Global Optimization Algorithms, Jorge Cruz, M.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2015. Role: Co-Advisor.

Undergraduate

  • Numerical Strategy for Solving the Circuit Model of a Circular Waveguide Fully Filled with a Dielectric, Jhon Angel, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2017. Role: Primary Advisor.
  • The Virtual Bat Algorithm as a Strategy for the Optimal Design of Low-Pass Filters, Héctor Castro and Marco Otero, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2014. Role: Co-Advisor.
  • Implementation of the Gravitational Search Algorithm (GSA) for the Optimal Design of an Electromagnetic Absorber, Alejandro Miranda and Juan Ruíz, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2014. Role: Co-Advisor.
  • Artificial Bee Colony Algorithm and the Minimum Entropy Criterion for the Optimal Design of a Heat Sink, José Ávila and Orlando Navarro, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2014. Role: Co-Advisor.
  • Optimal Design of Chebyshev Electronic Filters Using the Firefly Algorithm, Andrés Rodríguez and Kildar Gaona, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2014. Role: Co-Advisor.
  • Evaluation of the Central Force Optimization Method Versus Unified Particle Swarm Optimization for Solving Nonlinear Equations, Kristian Barreto and Daniel Dávila, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2014. Role: Co-Advisor.
  • Identification of Nonlinear Systems Using the Intelligent Virtual Water Drop Optimization Method, Daniel Dávila and Alejandro Rutto, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2014. Role: Co-Advisor.
  • Application of Central Force Optimization (CFO) to the Optimal Design of an Electromagnetic Absorber, Jorge González and Carlos Bayona, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2013. Role: Co-Advisor.
  • Solving a System of Nonlinear Equations Using a Harmony Search-Based Strategy, Carlos Villanueva and Jhonatan Contreras, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2013. Role: Co-Advisor.
  • Unified Particle Swarm Optimization Algorithm for Solving Diophantine Equations Commonly Found in Electronic Engineering Problems, Fausto Osorio and Jonathan Ramírez, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2013. Role: Co-Advisor.
  • Solution of the Equations Describing Hybrid Modes in a Partially Dielectric-Filled Rectangular Waveguide Using Simulated Annealing Optimization, Jorge Romero and John Suarez, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2013. Role: Co-Advisor.
  • Analysis of the Efficiency of the Harmony Search Algorithm in Solving a Nonlinear Electronic Circuit, Oscar Trasladino and Saúl González, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2013. Role: Co-Advisor.
  • Design of a Multilayer Electromagnetic Absorber Using the Spiral Optimization Method, Rafael Ortiz and Edgar García, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2013. Role: Co-Advisor.
  • Obtaining Dispersion Curves of Hybrid Modes in Partially Dielectric-Filled Rectangular Waveguides Using Unified Particle Swarm Optimization (UPSO), Edwin Farfán and Jimy Fontecha, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2013. Role: Co-Advisor.
  • Implementation of a Temperature Measurement and Control System for an Electromagnetic Cavity, Dirney Jurado and Marly Ortiz, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2013. Role: Co-Advisor.
  • Quantum-Inspired Computational Intelligence Applied to Oil Production Optimization in a Smart Well Model, Marisol Baez, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2013. Role: Co-Advisor.
  • Evaluation and Comparison of the Newton–Raphson and Artificial Bee Colony (ABC) Methods for Power Flow Analysis, Julieth Celis and Francis Rincón, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2013. Role: Co-Advisor.
  • Basic Preventive Maintenance of a Single-Phase Defibrillator Using Enhanced Particle Swarm Optimization and Artificial Bee Colony Methods, Elkin Petro and Rafael Fuentes, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2013. Role: Co-Advisor.
  • Hybrid Simplex Algorithm Combined with Central Force Optimization (CFO) for Solving Nonlinear Systems of Equations, José García and Diego Corredor, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2013. Role: Co-Advisor.
  • Intelligent Virtual Water Drops Optimization Algorithm Applied to Optimal Route Planning for a Mobile Robot, Juan Arias and Moisés Mogollón, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2013. Role: Co-Advisor.
  • Evaluation and Comparison of Unified Particle Swarm Optimization (UPSO) and Newton–Raphson Methods for Power Flow Analysis, Camilo Pinzón and Edwin Pedraza, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2013. Role: Co-Advisor.
  • Microwave Irradiation of Gold-Rich Minerals from the Southern Bolívar Region, Danilo Bernal, Sergio Garnica, and Yamit Reslen, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2012. Role: Co-Advisor.
  • Interaction of Microwaves with Gold Traces in Samples from California and Vetas (Santander), William Botero and Roy Aguirre, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2012. Role: Co-Advisor.
  • Implementation of an Optimization Algorithm for Discrete Systems Based on Particle Swarm Optimization, Carlos Gómez and Oscar Pérez, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2012. Role: Co-Advisor.
  • Solution of the Mathematical Model of a Nonlinear DC Electronic Circuit Using an Optimization Strategy, Jorge Cruz, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2012. Role: Co-Advisor.
  • Conceptual Engineering of a Microwave-Based Gold Recovery Process Using Samples from California and Vetas (Santander), Juan Abril and Julián Gómez, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2012. Role: Co-Advisor.
  • Use of Microwaves in the Gold Trace Extraction Process, Manuel Díaz and Marcelo Rueda, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2012. Role: Co-Advisor.
  • Solving the Equations of a Nonlinear Electronic Circuit Model Using Central Force Optimization, Francisco Ramírez and Oscar Roa, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2012. Role: Co-Advisor.
  • Solution of the Equations Modeling a Nonlinear Direct Current Circuit Using the Spiral Optimization Method, Jorge Portilla, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2012. Role: Co-Advisor.
  • Particle Swarm Optimization and the Minimum Entropy Criterion for the Optimal Design of a Heat Sink, Alberto Hinojosa and July Espinosa, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2011. Role: Co-Advisor.
  • Conceptual Engineering of a Microwave-Based Manufacturing Process for Materials (2450 MHz), Erick Barrios and Dinelly Barrios, B.Sc. in Electronic Engineering, Industrial University of Santander (Colombia), 2009. Role: Co-Advisor.

Publications (recent): 

  • Full list on https://scholar.google.com.mx/citations?hl=en&user=fDqiL1EAAAAJ 
  • Benavides-Robles, Maria Torcoroma; Cruz-Duarte, Jorge M; Ortiz-Bayliss, José Carlos; Amaya, Ivan; Algorithm Selection for Allocating Pods within Robotic Mobile Fulfillment Systems: a Hyper-heuristic Approach, IEEE Access, 2025 
  • Vela, Alonso; Valencia-Rivera, Gerardo Humberto; Cruz-Duarte, Jorge M; Ortiz-Bayliss, José Carlos; Amaya, Ivan; Hyper-heuristics and Scheduling problems: Strategies, application areas, and performance metrics, IEEE Access, 2025 
  • Benavides-Robles, Maria Torcoroma; Valencia-Rivera, Gerardo Humberto; Cruz-Duarte, Jorge M; Amaya, Ivan; Ortiz-Bayliss, José Carlos; Robotic mobile fulfillment system: A systematic review, IEEE Access, 2024 
  • Valencia-Rivera, Gerardo Humberto; Benavides-Robles, Maria Torcoroma; Morales, Alonso Vela; Amaya, Ivan; Cruz-Duarte, Jorge M; Ortiz-Bayliss, José Carlos; Avina-Cervantes, Juan Gabriel; A systematic review of metaheuristic algorithms in electric power systems optimization, Applied Soft Computing, 2024 
  • Zambrano-Gutierrez, Daniel Fernando; Valencia-Rivera, Gerardo Humberto; Avina-Cervantes, Juan Gabriel; Amaya, Ivan; Cruz-Duarte, Jorge Mario; Designing Heuristic-Based Tuners for Fractional-Order PID Controllers in Automatic Voltage Regulator Systems Using a Hyper-Heuristic Approach, Fractal and Fractional, 2024 
  • Tapia-Avitia, José M; Cruz-Duarte, Jorge M; Amaya, Ivan; Ortiz-Bayliss, José Carlos; Terashima-Marin, Hugo; Pillay, Nelishia; Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems, Swarm and Evolutionary Computation, 2024 
  • Valencia-Rivera, Gerardo Humberto; Amaya, Ivan; Cruz-Duarte, Jorge M; Ortiz-Bayliss, José Carlos; Tapia-Tinoco, Guillermo; Avina-Cervantes, Juan Gabriel; Optimal hybrid resonant current controller for microgrids connected to an unbalanced IEEE test distribution network, Heliyon, 2024 
  • Zambrano-Gutierrez, Daniel F; Cruz-Duarte, Jorge M; Ortiz-Bayliss, José Carlos; Amaya, Iván; Avina-Cervantes, Juan Gabriel; Beyond Traditional Tuning: Unveiling Metaheuristic Operator Trends in PID Control Tuning for Automatic Voltage Regulation, 2024 IEEE Congress on Evolutionary Computation (CEC), 2024 
  • Pérez-Espinosa, Guillermo; Cruz-Duarte, Jorge M; Amaya, Ivan; Ortiz-Bayliss, José C; Terashima-Marin, Hugo; Pillay, Nelishia; Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications, 2024 IEEE Congress on Evolutionary Computation (CEC), 2024 
  • Garza-Santisteban, Fernando; Cruz-Duarte, Jorge Mario; Amaya, Ivan; Ortiz-Bayliss, José Carlos; Conant-Pablos, Santiago Enrique; Terashima-Marín, Hugo; Selection hyper-heuristics and job shop scheduling problems: How does instance size influence performance?, Journal of Scheduling, 2024 
  • Zambrano-Gutierrez, Daniel F; Cruz-Duarte, Jorge Mario; Avina-Cervantes, Juan Gabriel; Ortiz-Bayliss, José Carlos; Yanez-Borjas, Jesús Joaquín; Amaya, Iván; Automatic Design of Metaheuristics for Practical Engineering Applications, IEEE Access, 2023 
  • Pozo-Luyo, César Alejandro; Cruz-Duarte, Jorge M; Amaya, Ivan; Ortiz-Bayliss, José Carlos; Forecasting PM2. 5 concentration levels using shallow machine learning models on the Monterrey Metropolitan Area in Mexico, Atmospheric Pollution Research, 2023 
  • Vela, Alonso; Cruz-Duarte, Jorge M; Ortiz-Bayliss, José Carlos; Amaya, Ivan; Recursive Hyper-Heuristics for the Job Shop Scheduling Problem, 2023 IEEE Congress on Evolutionary Computation (CEC), 2023 
  • Valencia-Rivera, Gerardo Humberto; Ortiz-Bayliss, José Carlos; Cruz-Duarte, Jorge M; Amaya, Ivan; Avina-Cervantes, Juan Gabriel; Hyper-Heuristics Meet Controller Design: Improving Electrical Grid Performance through Microgrids, 2023 IEEE Congress on Evolutionary Computation (CEC), 2023 
  • Zambrano-Gutierrez, Daniel F; Molina-Porras, Alberto C; Ovalle-Magallanes, Emmanuel; Amaya, Iván; Ortiz-Bayliss, José C; Avina-Cervantes, Juan G; Cruz-Duarte, Jorge M; SIGNRL: A Population-Based Reinforcement Learning Method for Continuous Control, 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 2023 
  • Benavides-Robles, Maria Torcoroma; Cruz-Duarte, Jorge M; Ortiz-Bayliss, José C; Amaya, Ivan; On the Feasibility of Using a High-Level Solver within Robotic Mobile Fulfillment Systems, 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 2023 
  • Correa, Rodrigo; Amaya, Ivan; Cruz-Duarte, Jorge M; Microwave heating simulation of a three-phase spherical system made of a FGM with its thermal properties and microwave volumetric flow as a function of temperature, position, and time, International Heat Transfer Conference Digital Library, 2023 
  • Benavides-Robles, Maria Torcoroma; Cruz-Duarte, Jorge M; Amaya, Ivan; Ortiz-Bayliss, José C; On the Feasibility of using Neural Networks as High-level solvers for the Pod Allocation Problem within Robotic Mobile Fulfillment Systems, 2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI), 2023 
  • Cruz-Duarte, Jorge M; Ortiz-Bayliss, José C; Amaya, Ivan; MatHH: A Matlab-based Hyper-Heuristic framework, SoftwareX, 2022 
  • Vela, Alonso; Cruz-Duarte, Jorge M; Ortiz-Bayliss, José Carlos; Amaya, Ivan; Beyond Hyper-Heuristics: A Squared Hyper-Heuristic Model for Solving Job Shop Scheduling Problems, IEEE Access, 2022 
  • Cruz-Duarte, Jorge M; Amaya, Ivan; Ortiz-Bayliss, José Carlos; Pillay, Nelishia; A Transfer Learning Hyper-heuristic Approach for Automatic Tailoring of Unfolded Population-based Metaheuristics, 2022 IEEE Congress on Evolutionary Computation (CEC), 2022 
  • Tapia-Avitia, Jose M; Cruz-Duarte, Jorge M; Amaya, Ivan; Ortiz-Bayliss, Jose Carlos; Terashima-Marin, Hugo; Pillay, Nelishia; A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems, 2022 IEEE Congress on Evolutionary Computation (CEC), 2022 
  • Gárate-Escamilla, Anna Karen; Amaya, Ivan; Cruz-Duarte, Jorge M; Terashima-Marín, Hugo; Ortiz-Bayliss, José Carlos; Identifying Hyper-Heuristic Trends through a Text Mining Approach on the Current Literature, Applied Sciences, 2022 
  • Zambrano-Gutierrez, Daniel F; Cruz-Duarte, Jorge M; Valencia-Rivera, Gerardo Humberto; Amaya, Ivan; Avina-Cervantes, Juan Gabriel; Dynamic Analysis for the Physically Correct Model of a Fractional-Order Buck-Boost Converter, Computer Sciences and Mathematics Forum, 2022 
  • Rodríguez, Daniel; Cruz-Duarte, Jorge M; Ortiz-Bayliss, José Carlos; Amaya, Ivan; A Sequence-Based Hyper-Heuristic for Traveling Thieves, Applied Sciences, 2022 
  • Jimenez, Cristian; Amaya, Ivan; Correa, Rodrigo; Hybrid Thermal Treatment Based on Microwaves and Heating Resistance for Composite Materials, International Journal of Thermophysics, 2021 
  • Cruz-Duarte, Jorge M; García-Pérez, Arturo; Amaya-Contreras, Iván M; Correa, Rodrigo; Assessing Film Coefficients of Microchannel Heat Sinks via Cuckoo Search Algorithm, Heuristics for Optimization and Learning, 2021 
  • Cruz-Duarte, Jorge M; Amaya, Ivan; Ortiz-Bayliss, Jose Carlos; Correa, Rodrigo; Solving microelectronic thermal management problems using a generalized spiral optimization algorithm, Applied Intelligence, 2021 
  • Olivas, Frumen; Amaya, Ivan; Ortiz-Bayliss, José Carlos; Conant-Pablos, Santiago E; Terashima-Marín, Hugo; Enhancing hyperheuristics for the knapsack problem through fuzzy logic, Computational Intelligence and Neuroscience, 2021 
  • Jiménez, Cristian; Amaya, Ivan; Correa, Rodrigo; SCSV_IPS: A software for the estimation of the shear coefficient of spin viscosity during the movement of a ferrofluid under the effect of an external rotating magnetic field, SoftwareX, 2021 
  • Ortiz-Bayliss, José C; Amaya, Ivan; Cruz-Duarte, Jorge M; Gutierrez-Rodriguez, Andres E; Conant-Pablos, Santiago E; Terashima-Marín, Hugo; A General Framework Based on Machine Learning for Algorithm Selection in Constraint Satisfaction Problems, Applied Sciences, 2021 
  • Vela, Alonso; Cruz-Duarte, Jorge M; carlos Ortiz-Bayliss, José; Amaya, Ivan; Tailoring Job Shop Scheduling Problem Instances Through Unified Particle Swarm Optimization, IEEE Access, 2021 
  • Cruz-Duarte, Jorge M; Ortiz-Bayliss, José C; Amaya, Ivan; Pillay, Nelishia; Global Optimisation through Hyper-Heuristics: Unfolding Population-Based Metaheuristics, Applied Sciences, 2021 
  • Cruz-Duarte, Jorge M; Amaya, Ivan; Ortiz-Bayliss, José C; Conant-Pablos, Santiago E; Terashima-Marín, Hugo; Shi, Yong; Hyper-Heuristics to customise metaheuristics for continuous optimization, Swarm and Evolutionary Computation, 2021 
  • Cruz-Duarte, Jorge M; Amaya, Ivan; Ortiz-Bayliss, José Carlos; Pillay, Nelishia; Automated Design of Unfolded Metaheuristics and the Effect of Population Size, 2021 IEEE Congress on Evolutionary Computation (CEC), 2021 
  • Sanchez, Melissa; Cruz-Duarte, Jorge M.; Ortiz-Bayliss, Jose C.; Amaya, Ivan; Sequence-based Selection Hyper-heuristic Model via MAP-Elites, IEEE Access, 2021 
  • Valencia-Rivera, Gerardo Humberto; Amaya, Ivan; Cruz-Duarte, Jorge M; Ortíz-Bayliss, José Carlos; Avina-Cervantes, Juan Gabriel; Hybrid Controller Based on LQR Applied to Interleaved Boost Converter and Microgrids under Power Quality Events, Energies, 2021 
  • Sánchez-Díaz, Xavier; Ortiz-Bayliss, José Carlos; Amaya, Ivan; Cruz-Duarte, Jorge M; Conant-Pablos, Santiago Enrique; Terashima-Marín, Hugo; A Feature-Independent Hyper-Heuristic Approach for Solving the Knapsack Problem, Applied Sciences, 2021 
  • Cruz-Duarte, Jorge M; Amaya, Ivan; Ortiz-Bayliss, José Carlos; Pillay, Nelishia; Naïve Hyper-heuristic Online Learning to Generate Unfolded Population-based Metaheuristics to Solve Continuous Optimization Problems, 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021 
  • Ortiz-Bayliss, José C; Pillay, Nelishia; Amaya, Ivan; Cruz-Duarte, Jorge M; Global Optimisation through Hyper-Heuristics: Unfolding Population-Based Metaheuristics, Applied Sciences, 2021 
  • Cruz-Duarte, Jorge M; Amaya, Iván; Correa, Rodrigo; Analysis of the Effect of the Orthotropic Thermal Conductivity Tensor During Microwave-Based Heat Treatment of a Core–Shell Spherical System, International Journal of Thermophysics, 2020 
  • Roa, Manuel; Amaya, Ivan; Correa, Rodrigo; Thermogravimetric and calorimetric dataset for extra heavy crude asphaltenes obtained by electrodeposition in the presence of magnetic field and magnetic nanoparticles, Data in Brief, 2020 
  • Silva-Gálvez, Arturo; Lara-Cárdenas, Erick; Amaya, Iván; Cruz-Duarte, Jorge M; Ortiz-Bayliss, José Carlos; A preliminary study on score-based hyper-heuristics for solving the bin packing problem, Mexican Conference on Pattern Recognition, 2020 
  • Jimenez, Cristian; Amaya, Iván; Correa, Rodrigo; 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 
  • Sánchez, Melissa; Cruz-Duarte, Jorge M; Ortiz-Bayliss, José C; Ceballos, Hector; Terashima-Marín, Hugo; Amaya, Ivan; A Systematic Review of Hyper-heuristics on Combinatorial Optimization Problems, IEEE Access, 2020 
  • Roa, M; Amaya, I; Correa, R; Effect of solvent polarity during electrodeposition of asphaltenes from a Colombian oil in the presence of a magnetic field and magnetic nanoparticles, Journal of Physics: Conference Series, 2020 
  • Sánchez-Díaz, Xavier FC; Ortiz-Bayliss, José Carlos; Amaya, Ivan; Cruz-Duarte, Jorge M; Conant-Pablos, Santiago Enrique; Terashima-Marín, Hugo; A preliminary study on feature-independent hyper-heuristics for the 0/1 knapsack problem, 2020 IEEE Congress on Evolutionary Computation (CEC), 2020 
  • Garza-Santisteban, Fernando; Amaya, Ivan; Cruz-Duarte, Jorge; Ortiz-Bayliss, José Carlos; Özcan, Ender; Terashima-Marín, Hugo; Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem, 2020 IEEE Congress on Evolutionary Computation (CEC), 2020 
  • Cruz-Duarte, Jorge M; Amaya, Ivan; Ortiz-Bayliss, José Carlos; Conant-Pablos, Santiago Enrique; Terashima-Marín, Hugo; A primary study on hyper-heuristics to customise metaheuristics for continuous optimization, 2020 IEEE Congress on Evolutionary Computation (CEC), 2020 
  • Olivas, Frumen; Amaya, Ivan; Ortiz-Bayliss, José Carlos; Conant-Pablos, Santiago E; Terashima-Marin, Hugo; A Fuzzy Hyper-Heuristic Approach for the 0-1 Knapsack Problem, 2020 IEEE Congress on Evolutionary Computation (CEC), 2020 
  • Lara-Cárdenas, Erick; Sánchez-Díaz, Xavier; Amaya, Iván; Cruz-Duarte, Jorge M; Ortiz-Bayliss, José Carlos; A genetic programming framework for heuristic generation for the job-shop scheduling problem, Mexican International Conference on Artificial Intelligence, 2020 
  • Cruz-Duarte, Jorge M; Ortiz-Bayliss, José C; Amaya, Iván; Shi, Yong; Terashima-Marín, Hugo; Pillay, Nelishia; Towards a Generalised Metaheuristic Model for Continuous Optimisation Problems, Mathematics, 2020 
  • Cruz-Duarte, Jorge M; Amaya, Ivan; Ortiz-Bayliss, José C; Terashima-Marín, Hugo; Shi, Yong; CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search, SoftwareX, 2020 
  • Silva-Gálvez, Arturo; Orozco-Sanchez, Jorge; Lara-Cárdenas, Erick; Ortiz-Bayliss, José Carlos; Amaya, Ivan; Cruz-Duarte, Jorge M; Terashima-Marín, Hugo; Discovering Action Regions for Solving the Bin Packing Problem through Hyper-heuristics, 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020 
  • Lara-Cárdenas, Erick; Silva-Gálvez, Arturo; Ortiz-Bayliss, José Carlos; Amaya, Ivan; Cruz-Duarte, Jorge M; Terashima-Marín, Hugo; Exploring Reward-based Hyper-heuristics for the Job-shop Scheduling Problem, 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020 
  • Amaya, Ivan; Rodríguez, Juan David Bastidas; Cely, Rodrigo Correa; Computational analysis of hybrid heating of a heterogeneous core-shell configuration for improving temperature uniformity, Respuestas, 2020 
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