Ivan Amaya

58 papers B 14Journal 30Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automated Design and Selection of Metaheuristics for PID Control in Power Electronics.
IEEE Access
Daniel F. Zambrano-Gutierrez, José Carlos Ortiz-Bayliss, Ivan Amaya, Maricela Rodríguez-Nieto, Juan Gabriel Aviña-Cervantes, Jorge M. Cruz-Duarte
2026 J jnl
Heuristic selection through neural networks: an extended analysis on the pod allocation problem within robotic mobile fulfillment systems.
Neural Comput. Appl.
Maria Torcoroma Benavides-Robles, Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss
2025 J jnl
Algorithm Selection for Allocating Pods Within Robotic Mobile Fulfillment Systems: A Hyper-Heuristic Approach.
IEEE Access
Maria Torcoroma Benavides-Robles, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Ivan Amaya
2025 J jnl
How Much Is Too Much? Facing Practical Limitations in Hyper-Heuristic Design for Packing Problems.
Algorithms
José Carlos Ortiz-Bayliss, Alonso Vela Morales, Ivan Amaya
2025 J jnl
Hyper-Heuristics and Scheduling Problems: Strategies, Application Areas, and Performance Metrics.
IEEE Access
Alonso Vela, Gerardo Humberto Valencia-Rivera, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Ivan Amaya
2025 J jnl
Robotic Mobile Fulfillment Systems: Are Hyper-Heuristics a Feasible Approach When Dealing With the Pod Allocation and Item Storage Problems?
IEEE Access
Toby Yung, Maria Torcoroma Benavides-Robles, José Carlos Ortiz-Bayliss, Ivan Amaya
2025 J jnl
Selection hyper-heuristics and job shop scheduling problems: How does instance size influence performance?
J. Sched.
Fernando Garza-Santisteban, Jorge Mario Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
2025 — conf
Tailoring Bounded Instances for the Job Shop Scheduling Problem Through Unified Particle Swarm Optimization.
MCPR
Alonso Vela Morales, José Carlos Ortiz-Bayliss, Jorge M. Cruz-Duarte, Ivan Amaya
2024 J jnl
A systematic review of metaheuristic algorithms in electric power systems optimization.
Appl. Soft Comput.
Gerardo Humberto Valencia-Rivera, Maria Torcoroma Benavides-Robles, Alonso Vela Morales, Ivan Amaya, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Juan Gabriel Aviña-Cervantes
2024 J jnl
Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems.
Swarm Evol. Comput.
Jose M. Tapia-Avitia, Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay
2024 B conf
Beyond Traditional Tuning: Unveiling Metaheuristic Operator Trends in PID Control Tuning for Automatic Voltage Regulation.
CEC
Daniel F. Zambrano-Gutierrez, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Ivan Amaya, Juan Gabriel Aviña-Cervantes
2024 J jnl
Robotic Mobile Fulfillment System: A Systematic Review.
IEEE Access
Maria Torcoroma Benavides-Robles, Gerardo Humberto Valencia-Rivera, Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss
2024 B conf
Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications.
CEC
Guillermo Pérez-Espinosa, Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay
2023 J jnl
Automatic Design of Metaheuristics for Practical Engineering Applications.
IEEE Access
Daniel F. Zambrano-Gutierrez, Jorge Mario Cruz-Duarte, Juan Gabriel Aviña-Cervantes, José Carlos Ortiz-Bayliss, Jesus J. Yanez-Borjas, Ivan Amaya
2023 B conf
Hyper-Heuristics Meet Controller Design: Improving Electrical Grid Performance through Microgrids.
CEC
Gerardo Humberto Valencia-Rivera, José Carlos Ortiz-Bayliss, Jorge M. Cruz-Duarte, Ivan Amaya, Juan Gabriel Aviña-Cervantes
2023 — conf
On the Feasibility of Using a High-Level Solver within Robotic Mobile Fulfillment Systems.
SSCI
Maria Torcoroma Benavides-Robles, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Ivan Amaya
2023 — conf
On the Feasibility of using Neural Networks as High-level solvers for the Pod Allocation Problem within Robotic Mobile Fulfillment Systems.
ISCMI
Maria Torcoroma Benavides-Robles, Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss
2023 B conf
Recursive Hyper-Heuristics for the Job Shop Scheduling Problem.
CEC
Alonso Vela, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Ivan Amaya
2023 — conf
SIGNRL: A Population-Based Reinforcement Learning Method for Continuous Control.
SSCI
Daniel F. Zambrano-Gutierrez, Alberto C. Molina-Porras, Emmanuel Ovalle-Magallanes, Ivan Amaya, José Carlos Ortiz-Bayliss, Juan Gabriel Aviña-Cervantes, Jorge M. Cruz-Duarte
2022 B conf
A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems.
CEC
Jose M. Tapia-Avitia, Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay
2022 B conf
A Transfer Learning Hyper-heuristic Approach for Automatic Tailoring of Unfolded Population-based Metaheuristics.
CEC
Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Nelishia Pillay
2022 J jnl
Beyond Hyper-Heuristics: A Squared Hyper-Heuristic Model for Solving Job Shop Scheduling Problems.
IEEE Access
Alonso Vela, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Ivan Amaya
2022 J jnl
MatHH: A Matlab-based Hyper-Heuristic framework.
SoftwareX
Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Ivan Amaya
2021 B conf
Automated Design of Unfolded Metaheuristics and the Effect of Population Size.
CEC
Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Nelishia Pillay
2021 J jnl
Enhancing Hyperheuristics for the Knapsack Problem through Fuzzy Logic.
Comput. Intell. Neurosci.
Frumen Olivas, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín
2021 J jnl
Hyper-Heuristics to customise metaheuristics for continuous optimisation.
Swarm Evol. Comput.
Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Yong Shi
2021 — conf
Naïve Hyper-heuristic Online Learning to Generate Unfolded Population-based Metaheuristics to Solve Continuous Optimization Problems.
SSCI
Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Nelishia Pillay
2021 J jnl
SCSV_IPS: A software for the estimation of the
SoftwareX
Cristian Jimenez, Ivan Amaya, Rodrigo Correa
2021 J jnl
Sequence-Based Selection Hyper-Heuristic Model via MAP-Elites.
IEEE Access
Melissa Sánchez, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Ivan Amaya
2021 J jnl
Solving microelectronic thermal management problems using a generalized spiral optimization algorithm.
Appl. Intell.
Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Rodrigo Correa
2021 J jnl
Tailoring Job Shop Scheduling Problem Instances Through Unified Particle Swarm Optimization.
IEEE Access
Alonso Vela, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Ivan Amaya
2020 B conf
A Fuzzy Hyper-Heuristic Approach for the 0-1 Knapsack Problem.
CEC
Frumen Olivas, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín
2020 — conf
A Genetic Programming Framework for Heuristic Generation for the Job-Shop Scheduling Problem.
MICAI (1)
Erick Lara-Cárdenas, Xavier Sánchez-Díaz, Ivan Amaya, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss
2020 B conf
A Preliminary Study on Feature-independent Hyper-heuristics for the 0/1 Knapsack Problem.
CEC
Xavier Sánchez, José Carlos Ortiz-Bayliss, Ivan Amaya, Jorge M. Cruz-Duarte, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
2020 — conf
A Preliminary Study on Score-Based Hyper-heuristics for Solving the Bin Packing Problem.
MCPR
Arturo Silva-Gálvez, Erick Lara-Cárdenas, Ivan Amaya, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss
2020 B conf
A Primary Study on Hyper-Heuristics to Customise Metaheuristics for Continuous optimisation.
CEC
Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
2020 J jnl
A Systematic Review of Hyper-Heuristics on Combinatorial Optimization Problems.
IEEE Access
Melissa Sánchez, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Hector G. Ceballos, Hugo Terashima-Marín, Ivan Amaya
2020 J jnl
CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search.
SoftwareX
Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Yong Shi
2020 — conf
Discovering Action Regions for Solving the Bin Packing Problem through Hyper-heuristics.
SSCI
Arturo Silva-Gálvez, Jorge Orozco-Sanchez, Erick Lara-Cárdenas, José Carlos Ortiz-Bayliss, Ivan Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín
2020 B conf
Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem.
CEC
Fernando Garza-Santisteban, Ivan Amaya, Jorge Cruz, José Carlos Ortiz-Bayliss, Ender Özcan, Hugo Terashima-Marín
2020 — conf
Exploring Reward-based Hyper-heuristics for the Job-shop Scheduling Problem.
SSCI
Erick Lara-Cárdenas, Arturo Silva-Gálvez, José Carlos Ortiz-Bayliss, Ivan Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín
2020 J jnl
SpinUpFlowDescriptor: A MATLAB toolbox for ferrofluids materials under moderate and high amplitude and frequency of magnetic rotating fields in a spin-up geometry.
SoftwareX
Cristian Jimenez, Ivan Amaya, Rodrigo Correa
2019 B conf
A Simulated Annealing Hyper-heuristic for Job Shop Scheduling Problems.
CEC
Fernando Garza-Santisteban, Roberto Sánchez-Pámanes, Luis Antonio Puente Rodríguez, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín
2019 J jnl
Evolutionary-based tailoring of synthetic instances for the Knapsack problem.
Soft Comput.
Luis Fernando Plata-González, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
2019 B conf
Hyper-heuristics Reversed: Learning to Combine Solvers by Evolving Instances.
CEC
Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín
2019 — conf
Improving Hyper-heuristic Performance for Job Shop Scheduling Problems Using Neural Networks.
MICAI
Erick Lara-Cárdenas, Xavier Sánchez-Díaz, Ivan Amaya, José Carlos Ortiz-Bayliss
2019 — conf
Influence of Instance Size on Selection Hyper-Heuristics for Job Shop Scheduling Problems.
SSCI
Fernando Garza-Santisteban, Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
2018 — conf
An Experimental Study on Ant Colony Optimization Hyper-Heuristics for Solving the Knapsack Problem.
MCPR
Bronson Duhart, Fernando Camarena, José Carlos Ortiz-Bayliss, Ivan Amaya, Hugo Terashima-Marín
2018 J jnl
Enhancing Selection Hyper-Heuristics via Feature Transformations.
IEEE Comput. Intell. Mag.
Ivan Amaya, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
2018 J jnl
Enhancing Selection Hyper-heuristics via Feature Transformations.
CoRR
Ivan Amaya, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
2018 J jnl
Exploring the Impact of Early Decisions in Variable Ordering for Constraint Satisfaction Problems.
Comput. Intell. Neurosci.
José Carlos Ortiz-Bayliss, Ivan Amaya, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
2018 — conf
Tailoring Instances of the 1D Bin Packing Problem for Assessing Strengths and Weaknesses of Its Solvers.
PPSN (2)
Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
2017 — conf
A Quartile-Based Hyper-heuristic for Solving the 0/1 Knapsack Problem.
MICAI (1)
Fernando Gómez-Herrera, Rodolfo A. Ramirez-Valenzuela, José Carlos Ortiz-Bayliss, Ivan Amaya, Hugo Terashima-Marín
2017 B conf
Improving hyper-heuristic performance through feature transformation.
CEC
Ivan Amaya, José Carlos Ortiz-Bayliss, Andrés Eduardo Gutiérrez-Rodríguez, Hugo Terashima-Marín, Carlos A. Coello Coello
2015 J jnl
Finding resonant frequencies of microwave cavities through a modified harmony search algorithm.
Int. J. Bio Inspired Comput.
Ivan Amaya, Rodrigo Correa
2015 J jnl
Harmony Search algorithm: a variant with Self-regulated Fretwidth.
Appl. Math. Comput.
Ivan Amaya, Jorge Cruz, Rodrigo Correa
2014 J jnl
An improved variant of the conventional Harmony Search algorithm.
Appl. Math. Comput.
Jhonatan Contreras, Ivan Amaya, Rodrigo Correa
2013 J jnl
Numerical solution of certain exponential and non-linear Diophantine systems of equations by using a discrete particle swarm optimization algorithm.
Appl. Math. Comput.
Oscar Pérez, Ivan Amaya, Rodrigo Correa