José Carlos Ortiz-Bayliss
Orcid: 0000-0003-3408-2166
According to our database1,
José Carlos Ortiz-Bayliss
authored at least 73 papers
between 2008 and 2024.
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Bibliography
2024
A systematic review of metaheuristic algorithms in electric power systems optimization.
Appl. Soft Comput., January, 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
Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem.
CoRR, 2022
Beyond Hyper-Heuristics: A Squared Hyper-Heuristic Model for Solving Job Shop Scheduling Problems.
IEEE Access, 2022
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
Expert Syst. Appl., 2021
Criminal Intention Detection at Early Stages of Shoplifting Cases by Using 3D Convolutional Neural Networks.
Comput., 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 Pattern Recognition - 13th Mexican Conference, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
SoftwareX, 2020
Detecting Suspicious Behavior: How to Deal with Visual Similarity through Neural Networks.
CoRR, 2020
Suspicious Behavior Detection on Shoplifting Cases for Crime Prevention by Using 3D Convolutional Neural Networks.
CoRR, 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
Selecting meta-heuristics for solving vehicle routing problems with time windows via meta-learning.
Expert Syst. Appl., 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
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Cogn. Comput., 2016
Experimental Matching of Instances to Heuristics for Constraint Satisfaction Problems.
Comput. Intell. Neurosci., 2016
Combine and conquer: an evolutionary hyper-heuristic approach for solving constraint satisfaction problems.
Artif. Intell. Rev., 2016
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Selection and Generation Hyper-heuristics for Solving the Vehicle Routing Problem with Time Windows.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
2015
Proceedings of the Advances in Artificial Intelligence and Soft Computing, 2015
A Recursive Split, Solve, and Join Strategy for Solving Constraint Satisfaction Problems.
Proceedings of the Fourteenth Mexican International Conference on Artificial Intelligence, 2015
2013
Learning vector quantization for variable ordering in constraint satisfaction problems.
Pattern Recognit. Lett., 2013
A genetic programming hyper-heuristic: Turning features into heuristics for constraint satisfaction.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013
Branching Schemes and Variable Ordering Heuristics for Constraint Satisfaction Problems: Is There Something to Learn?
Proceedings of the Nature Inspired Cooperative Strategies for Optimization (NICSO 2013), 2013
Proceedings of the Nature Inspired Cooperative Strategies for Optimization (NICSO 2013), 2013
A Supervised Learning Approach to Construct Hyper-heuristics for Constraint Satisfaction.
Proceedings of the Pattern Recognition - 5th Mexican Conference, 2013
Exploring heuristic interactions in constraint satisfaction problems: A closer look at the hyper-heuristic space.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Using learning classifier systems to design selective hyper-heuristics for constraint satisfaction problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2011
Variable and Value Ordering Decision Matrix Hyper-heuristics: A Local Improvement Approach.
Proceedings of the Advances in Artificial Intelligence, 2011
Neural Networks to Guide the Selection of Heuristics within Constraint Satisfaction Problems.
Proceedings of the Pattern Recognition - Third Mexican Conference, 2011
Evolution of neural networks topologies and learning parameters to produce hyper-heuristics for constraint satisfaction problems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
On the idea of evolving decision matrix hyper-heuristics for solving constraint satisfaction problems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
A neuro-evolutionary approach to produce general hyper-heuristics for the dynamic variable ordering in hard binary constraint satisfaction problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
2008
Using Hyper-heuristics for the Dynamic Variable Ordering in Binary Constraint Satisfaction Problems.
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008
Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008