Iván Amaya

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 47

Top Topics

Harmony Search Algorithm

Job Shop Scheduling

Top Venues

Publications

Jose M. Tapia-Avitia, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay
Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems. Swarm Evol. Comput. 89 (2024)
Daniel F. Zambrano-Gutierrez, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya, Juan Gabriel Aviña-Cervantes
Beyond Traditional Tuning: Unveiling Metaheuristic Operator Trends in PID Control Tuning for Automatic Voltage Regulation. CEC (2024)
Guillermo Pérez-Espinosa, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay
Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications. CEC (2024)
Maria Torcoroma Benavides-Robles, Gerardo Humberto Valencia-Rivera, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss
Robotic Mobile Fulfillment System: A Systematic Review. IEEE Access 12 (2024)
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
A systematic review of metaheuristic algorithms in electric power systems optimization. Appl. Soft Comput. 150 (2024)
Alonso Vela, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya
Recursive Hyper-Heuristics for the Job Shop Scheduling Problem. CEC (2023)
Gerardo Humberto Valencia-Rivera, José Carlos Ortiz-Bayliss, Jorge M. Cruz-Duarte, Iván Amaya, Juan Gabriel Aviña-Cervantes
Hyper-Heuristics Meet Controller Design: Improving Electrical Grid Performance through Microgrids. CEC (2023)
Daniel F. Zambrano-Gutierrez, Jorge Mario Cruz-Duarte, Juan Gabriel Aviña-Cervantes, José Carlos Ortiz-Bayliss, Jesus J. Yanez-Borjas, Iván Amaya
Automatic Design of Metaheuristics for Practical Engineering Applications. IEEE Access 11 (2023)
Maria Torcoroma Benavides-Robles, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya
On the Feasibility of Using a High-Level Solver within Robotic Mobile Fulfillment Systems. SSCI (2023)
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
SIGNRL: A Population-Based Reinforcement Learning Method for Continuous Control. SSCI (2023)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Nelishia Pillay
A Transfer Learning Hyper-heuristic Approach for Automatic Tailoring of Unfolded Population-based Metaheuristics. CEC (2022)
Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya
MatHH: A Matlab-based Hyper-Heuristic framework. SoftwareX 18 (2022)
Jose M. Tapia-Avitia, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay
A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems. CEC (2022)
Alonso Vela, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya
Beyond Hyper-Heuristics: A Squared Hyper-Heuristic Model for Solving Job Shop Scheduling Problems. IEEE Access 10 (2022)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Nelishia Pillay
Automated Design of Unfolded Metaheuristics and the Effect of Population Size. CEC (2021)
Frumen Olivas, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín
Enhancing Hyperheuristics for the Knapsack Problem through Fuzzy Logic. Comput. Intell. Neurosci. 2021 (2021)
Cristian Jimenez, Iván Amaya, Rodrigo Correa
during the movement of a ferrofluid under the effect of an external rotating magnetic field. SoftwareX 14 (2021)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Rodrigo Correa
Solving microelectronic thermal management problems using a generalized spiral optimization algorithm. Appl. Intell. 51 (8) (2021)
Alonso Vela, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya
Tailoring Job Shop Scheduling Problem Instances Through Unified Particle Swarm Optimization. IEEE Access 9 (2021)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Yong Shi
Hyper-Heuristics to customise metaheuristics for continuous optimisation. Swarm Evol. Comput. 66 (2021)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Nelishia Pillay
Naïve Hyper-heuristic Online Learning to Generate Unfolded Population-based Metaheuristics to Solve Continuous Optimization Problems. SSCI (2021)
Melissa Sánchez, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Iván Amaya
Sequence-Based Selection Hyper-Heuristic Model via MAP-Elites. IEEE Access 9 (2021)
Erick Lara-Cárdenas, Xavier Sánchez-Díaz, Iván Amaya, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss
A Genetic Programming Framework for Heuristic Generation for the Job-Shop Scheduling Problem. MICAI (1) (2020)
Cristian Jimenez, Iván Amaya, Rodrigo Correa
SpinUpFlowDescriptor: A MATLAB toolbox for ferrofluids materials under moderate and high amplitude and frequency of magnetic rotating fields in a spin-up geometry. SoftwareX 12 (2020)
Frumen Olivas, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín
A Fuzzy Hyper-Heuristic Approach for the 0-1 Knapsack Problem. CEC (2020)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Yong Shi
CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search. SoftwareX 12 (2020)
Erick Lara-Cárdenas, Arturo Silva-Gálvez, José Carlos Ortiz-Bayliss, Iván Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín
Exploring Reward-based Hyper-heuristics for the Job-shop Scheduling Problem. SSCI (2020)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
A Primary Study on Hyper-Heuristics to Customise Metaheuristics for Continuous optimisation. CEC (2020)
Xavier Sánchez, José Carlos Ortiz-Bayliss, Iván Amaya, Jorge M. Cruz-Duarte, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
A Preliminary Study on Feature-independent Hyper-heuristics for the 0/1 Knapsack Problem. CEC (2020)
Arturo Silva-Gálvez, Jorge Orozco-Sanchez, Erick Lara-Cárdenas, José Carlos Ortiz-Bayliss, Iván Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín
Discovering Action Regions for Solving the Bin Packing Problem through Hyper-heuristics. SSCI (2020)
Fernando Garza-Santisteban, Iván Amaya, Jorge Cruz, José Carlos Ortiz-Bayliss, Ender Özcan, Hugo Terashima-Marín
Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem. CEC (2020)
Melissa Sánchez, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Hector G. Ceballos, Hugo Terashima-Marín, Iván Amaya
A Systematic Review of Hyper-Heuristics on Combinatorial Optimization Problems. IEEE Access 8 (2020)
Arturo Silva-Gálvez, Erick Lara-Cárdenas, Iván Amaya, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss
A Preliminary Study on Score-Based Hyper-heuristics for Solving the Bin Packing Problem. MCPR (2020)
Fernando Garza-Santisteban, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
Influence of Instance Size on Selection Hyper-Heuristics for Job Shop Scheduling Problems. SSCI (2019)
Iván Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín
Hyper-heuristics Reversed: Learning to Combine Solvers by Evolving Instances. CEC (2019)
Luis Fernando Plata-González, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
Evolutionary-based tailoring of synthetic instances for the Knapsack problem. Soft Comput. 23 (23) (2019)
Fernando Garza-Santisteban, Roberto Sánchez-Pámanes, Luis Antonio Puente Rodríguez, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín
A Simulated Annealing Hyper-heuristic for Job Shop Scheduling Problems. CEC (2019)
Erick Lara-Cárdenas, Xavier Sánchez-Díaz, Iván Amaya, José Carlos Ortiz-Bayliss
Improving Hyper-heuristic Performance for Job Shop Scheduling Problems Using Neural Networks. MICAI (2019)
Iván Amaya, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
Enhancing Selection Hyper-Heuristics via Feature Transformations. IEEE Comput. Intell. Mag. 13 (2) (2018)
Iván Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
Tailoring Instances of the 1D Bin Packing Problem for Assessing Strengths and Weaknesses of Its Solvers. PPSN (2) (2018)
Bronson Duhart, Fernando Camarena, José Carlos Ortiz-Bayliss, Iván Amaya, Hugo Terashima-Marín
An Experimental Study on Ant Colony Optimization Hyper-Heuristics for Solving the Knapsack Problem. MCPR (2018)
Iván Amaya, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
Enhancing Selection Hyper-heuristics via Feature Transformations. CoRR (2018)
José Carlos Ortiz-Bayliss, Iván Amaya, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
Exploring the Impact of Early Decisions in Variable Ordering for Constraint Satisfaction Problems. Comput. Intell. Neurosci. 2018 (2018)
Iván Amaya, José Carlos Ortiz-Bayliss, Andrés Eduardo Gutiérrez-Rodríguez, Hugo Terashima-Marín, Carlos A. Coello Coello
Improving hyper-heuristic performance through feature transformation. CEC (2017)
Fernando Gómez-Herrera, Rodolfo A. Ramirez-Valenzuela, José Carlos Ortiz-Bayliss, Iván Amaya, Hugo Terashima-Marín
A Quartile-Based Hyper-heuristic for Solving the 0/1 Knapsack Problem. MICAI (1) (2017)
Iván Amaya, Jorge Cruz, Rodrigo Correa
Harmony Search algorithm: a variant with Self-regulated Fretwidth. Appl. Math. Comput. 266 (2015)
Iván Amaya, Rodrigo Correa
Finding resonant frequencies of microwave cavities through a modified harmony search algorithm. Int. J. Bio Inspired Comput. 7 (5) (2015)
Jhonatan Contreras, Iván Amaya, Rodrigo Correa
An improved variant of the conventional Harmony Search algorithm. Appl. Math. Comput. 227 (2014)
Oscar Pérez, Iván Amaya, Rodrigo Correa
Numerical solution of certain exponential and non-linear Diophantine systems of equations by using a discrete particle swarm optimization algorithm. Appl. Math. Comput. 225 (2013)