Numerical solution of certain exponential and non-linear Diophantine systems of equations by using a discrete particle swarm optimization algorithm. - Oscar Pérez; Iván Amaya; Rodrigo Correa (Appl. Math. Comput., 2013)

An improved variant of the conventional Harmony Search algorithm. - Jhonatan Contreras; Iván Amaya; Rodrigo Correa (Appl. Math. Comput., 2014)

Design of an Optimal Heat Sink for Microelectronic Devices Using Entropy Generation Minimization. - Jorge M. Cruz-Duarte; Juan Gabriel Aviña-Cervantes; Ivan M. Amaya-Contreras; Carlos Rodrigo Correa-Cely (MICAI (Special Sessions), 2015)

Harmony Search algorithm: a variant with Self-regulated Fretwidth. - Iván Amaya; Jorge Cruz 002; Rodrigo Correa (Appl. Math. Comput., 2015)

Finding resonant frequencies of microwave cavities through a modified harmony search algorithm. - Iván Amaya; Rodrigo Correa (Int. J. Bio Inspired Comput., 2015)

Improving hyper-heuristic performance through feature transformation. - Iván Amaya; José Carlos Ortiz-Bayliss; Andrés Eduardo Gutiérrez-Rodríguez; Hugo Terashima-Marín; Carlos A. Coello Coello (CEC, 2017)

Applying automatic heuristic-filtering to improve hyper-heuristic performance. - Andrés Eduardo Gutiérrez-Rodríguez; José Carlos Ortiz-Bayliss; Alejandro Rosales-Pérez; Ivan M. Amaya-Contreras; Santiago E. Conant-Pablos; Hugo Terashima-Marín; Carlos A. Coello Coello (CEC, 2017)

A Quartile-Based Hyper-heuristic for Solving the 0/1 Knapsack Problem. - Fernando Gómez-Herrera; Rodolfo A. Ramirez-Valenzuela; José Carlos Ortiz-Bayliss; Iván Amaya; Hugo Terashima-Marín (MICAI (1), 2017)

An Experimental Study on Ant Colony Optimization Hyper-Heuristics for Solving the Knapsack Problem. - Bronson Duhart; Fernando Camarena; José Carlos Ortiz-Bayliss; Iván Amaya; Hugo Terashima-Marín (MCPR, 2018)

Tailoring Instances of the 1D Bin Packing Problem for Assessing Strengths and Weaknesses of Its Solvers. - Iván Amaya; José Carlos Ortiz-Bayliss; Santiago Enrique Conant-Pablos; Hugo Terashima-Marín; Carlos A. Coello Coello (PPSN (2), 2018)

Enhancing Selection Hyper-Heuristics via Feature Transformations. - Iván Amaya; José Carlos Ortiz-Bayliss; Alejandro Rosales-Pérez; Andrés Eduardo Gutiérrez-Rodríguez; Santiago E. Conant-Pablos; Hugo Terashima-Marín; Carlos A. Coello Coello (IEEE Comput. Intell. Mag., 2018)

Exploring the Impact of Early Decisions in Variable Ordering for Constraint Satisfaction Problems. - José Carlos Ortiz-Bayliss; Iván Amaya; Santiago Enrique Conant-Pablos; Hugo Terashima-Marín (Comput. Intell. Neurosci., 2018)

Hyper-heuristics Reversed: Learning to Combine Solvers by Evolving Instances. - Iván Amaya; José Carlos Ortiz-Bayliss; Santiago E. Conant-Pablos; Hugo Terashima-Marín (CEC, 2019)

A Simulated Annealing Hyper-heuristic for Job Shop Scheduling Problems. - Fernando Garza-Santisteban; Roberto Sánchez-Pámanes; Luis Antonio Puente Rodríguez; Iván Amaya; José Carlos Ortiz-Bayliss; Santiago E. Conant-Pablos; Hugo Terashima-Marín (CEC, 2019)

Improving Hyper-heuristic Performance for Job Shop Scheduling Problems Using Neural Networks. - Erick Lara-Cárdenas; Xavier Sánchez-Díaz; Iván Amaya; José Carlos Ortiz-Bayliss (MICAI, 2019)

Influence of Instance Size on Selection Hyper-Heuristics for Job Shop Scheduling Problems. - Fernando Garza-Santisteban; Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Santiago Enrique Conant-Pablos; Hugo Terashima-Marín (SSCI, 2019)

Evolutionary-based tailoring of synthetic instances for the Knapsack problem. - Luis Fernando Plata-González; Iván Amaya; José Carlos Ortiz-Bayliss; Santiago Enrique Conant-Pablos; Hugo Terashima-Marín; Carlos A. Coello Coello (Soft Comput., 2019)

A Primary Study on Hyper-Heuristics to Customise Metaheuristics for Continuous optimisation. - Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Santiago Enrique Conant-Pablos; Hugo Terashima-Marín (CEC, 2020)

Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem. - Fernando Garza-Santisteban; Iván Amaya; Jorge Cruz 002; José Carlos Ortiz-Bayliss; Ender Özcan; Hugo Terashima-Marín (CEC, 2020)

A Fuzzy Hyper-Heuristic Approach for the 0-1 Knapsack Problem. - Frumen Olivas; Iván Amaya; José Carlos Ortiz-Bayliss; Santiago E. Conant-Pablos; Hugo Terashima-Marín (CEC, 2020)

A Preliminary Study on Feature-independent Hyper-heuristics for the 0/1 Knapsack Problem. - Xavier Sánchez 001; José Carlos Ortiz-Bayliss; Iván Amaya; Jorge M. Cruz-Duarte; Santiago Enrique Conant-Pablos; Hugo Terashima-Marín (CEC, 2020)

A Preliminary Study on Score-Based Hyper-heuristics for Solving the Bin Packing Problem. - Arturo Silva-Gálvez; Erick Lara-Cárdenas; Iván Amaya; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss (MCPR, 2020)

A Genetic Programming Framework for Heuristic Generation for the Job-Shop Scheduling Problem. - Erick Lara-Cárdenas; Xavier Sánchez-Díaz; Iván Amaya; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss (MICAI (1), 2020)

Exploring Reward-based Hyper-heuristics for the Job-shop Scheduling Problem. - Erick Lara-Cárdenas; Arturo Silva-Gálvez; José Carlos Ortiz-Bayliss; Iván Amaya; Jorge M. Cruz-Duarte; Hugo Terashima-Marín (SSCI, 2020)

Discovering Action Regions for Solving the Bin Packing Problem through Hyper-heuristics. - Arturo Silva-Gálvez; Jorge Orozco-Sanchez; Erick Lara-Cárdenas; José Carlos Ortiz-Bayliss; Iván Amaya; Jorge M. Cruz-Duarte; Hugo Terashima-Marín (SSCI, 2020)

A Systematic Review of Hyper-Heuristics on Combinatorial Optimization Problems. - Melissa Sánchez; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss; Hector G. Ceballos; Hugo Terashima-Marín; Iván Amaya (IEEE Access, 2020)

CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search. - Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Yong Shi 001 (SoftwareX, 2020)

SpinUpFlowDescriptor: A MATLAB toolbox for ferrofluids materials under moderate and high amplitude and frequency of magnetic rotating fields in a spin-up geometry. - Cristian Jimenez 002; Iván Amaya; Rodrigo Correa (SoftwareX, 2020)

Automated Design of Unfolded Metaheuristics and the Effect of Population Size. - Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Nelishia Pillay (CEC, 2021)

Naïve Hyper-heuristic Online Learning to Generate Unfolded Population-based Metaheuristics to Solve Continuous Optimization Problems. - Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Nelishia Pillay (SSCI, 2021)

Sequence-Based Selection Hyper-Heuristic Model via MAP-Elites. - Melissa Sánchez; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss; Iván Amaya (IEEE Access, 2021)

Tailoring Job Shop Scheduling Problem Instances Through Unified Particle Swarm Optimization. - Alonso Vela; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss; Iván Amaya (IEEE Access, 2021)

Solving microelectronic thermal management problems using a generalized spiral optimization algorithm. - Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Rodrigo Correa (Appl. Intell., 2021)

Enhancing Hyperheuristics for the Knapsack Problem through Fuzzy Logic. - Frumen Olivas; Iván Amaya; José Carlos Ortiz-Bayliss; Santiago E. Conant-Pablos; Hugo Terashima-Marín (Comput. Intell. Neurosci., 2021)

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. - Cristian Jimenez 002; Iván Amaya; Rodrigo Correa (SoftwareX, 2021)

Hyper-Heuristics to customise metaheuristics for continuous optimisation. - Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Santiago E. Conant-Pablos; Hugo Terashima-Marín; Yong Shi 001 (Swarm Evol. Comput., 2021)

A Transfer Learning Hyper-heuristic Approach for Automatic Tailoring of Unfolded Population-based Metaheuristics. - Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Nelishia Pillay (CEC, 2022)

A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems. - Jose M. Tapia-Avitia; Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Nelishia Pillay (CEC, 2022)

Beyond Hyper-Heuristics: A Squared Hyper-Heuristic Model for Solving Job Shop Scheduling Problems. - Alonso Vela; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss; Iván Amaya (IEEE Access, 2022)

MatHH: A Matlab-based Hyper-Heuristic framework. - Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss; Iván Amaya (SoftwareX, 2022)

Hyper-Heuristics Meet Controller Design: Improving Electrical Grid Performance through Microgrids. - Gerardo Humberto Valencia-Rivera; José Carlos Ortiz-Bayliss; Jorge M. Cruz-Duarte; Iván Amaya; Juan Gabriel Aviña-Cervantes (CEC, 2023)

Recursive Hyper-Heuristics for the Job Shop Scheduling Problem. - Alonso Vela; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss; Iván Amaya (CEC, 2023)

On the Feasibility of using Neural Networks as High-level solvers for the Pod Allocation Problem within Robotic Mobile Fulfillment Systems. - Maria Torcoroma Benavides-Robles; Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss (ISCMI, 2023)

On the Feasibility of Using a High-Level Solver within Robotic Mobile Fulfillment Systems. - Maria Torcoroma Benavides-Robles; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss; Iván Amaya (SSCI, 2023)

SIGNRL: A Population-Based Reinforcement Learning Method for Continuous Control. - 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 (SSCI, 2023)

Automatic Design of Metaheuristics for Practical Engineering Applications. - Daniel F. Zambrano-Gutierrez; Jorge Mario Cruz-Duarte; Juan Gabriel Aviña-Cervantes; José Carlos Ortiz-Bayliss; Jesus J. Yanez-Borjas; Iván Amaya (IEEE Access, 2023)

Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications. - Guillermo Pérez-Espinosa; Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Nelishia Pillay (CEC, 2024)

Beyond Traditional Tuning: Unveiling Metaheuristic Operator Trends in PID Control Tuning for Automatic Voltage Regulation. - Daniel F. Zambrano-Gutierrez; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss; Iván Amaya; Juan Gabriel Aviña-Cervantes (CEC, 2024)

Robotic Mobile Fulfillment System: A Systematic Review. - Maria Torcoroma Benavides-Robles; Gerardo Humberto Valencia-Rivera; Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss (IEEE Access, 2024)

Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems. - Jose M. Tapia-Avitia; Jorge M. Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín; Nelishia Pillay (Swarm Evol. Comput., 2024)

A systematic review of metaheuristic algorithms in electric power systems optimization. - 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 (Appl. Soft Comput., 2024)

Tailoring Bounded Instances for the Job Shop Scheduling Problem Through Unified Particle Swarm Optimization. - Alonso Vela Morales; José Carlos Ortiz-Bayliss; Jorge M. Cruz-Duarte; Iván Amaya (MCPR, 2025)

Algorithm Selection for Allocating Pods Within Robotic Mobile Fulfillment Systems: A Hyper-Heuristic Approach. - Maria Torcoroma Benavides-Robles; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss; Iván Amaya (IEEE Access, 2025)

Hyper-Heuristics and Scheduling Problems: Strategies, Application Areas, and Performance Metrics. - Alonso Vela; Gerardo Humberto Valencia-Rivera; Jorge M. Cruz-Duarte; José Carlos Ortiz-Bayliss; Iván Amaya (IEEE Access, 2025)

Robotic Mobile Fulfillment Systems: Are Hyper-Heuristics a Feasible Approach When Dealing With the Pod Allocation and Item Storage Problems? - Toby Yung; Maria Torcoroma Benavides-Robles; José Carlos Ortiz-Bayliss; Iván Amaya (IEEE Access, 2025)

Selection hyper-heuristics and job shop scheduling problems: How does instance size influence performance? - Fernando Garza-Santisteban; Jorge Mario Cruz-Duarte; Iván Amaya; José Carlos Ortiz-Bayliss; Santiago Enrique Conant-Pablos; Hugo Terashima-Marín (J. Sched., 2025)