Santiago E. Conant-Pablos
Orcid: 0000-0001-6270-3164
According to our database1,
Santiago E. Conant-Pablos
authored at least 46 papers
between 2003 and 2024.
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Bibliography
2024
A Generalist Reinforcement Learning Agent for Compressing Convolutional Neural Networks.
IEEE Access, 2024
2023
Proceedings of the Advances in Soft Computing, 2023
2022
Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem.
CoRR, 2022
IEEE Access, 2022
2021
Swarm Evol. Comput., 2021
Comput. Intell. Neurosci., 2021
2020
A New Methodology for Solving the Vehicle Routing Problem with Time Windows Using Weighted Heuristics.
Res. Comput. Sci., 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
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
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
2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Grammar-based generation of variable-selection heuristics for constraint satisfaction problems.
Genet. Program. Evolvable Mach., 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
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
2014
Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014
2013
Learning vector quantization for variable ordering in constraint satisfaction problems.
Pattern Recognit. Lett., 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
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 Advances in Artificial Intelligence, 2012
Exploring the Solution of Course Timetabling Problems through Heuristic Segmentation.
Proceedings of the Advances in Artificial Intelligence, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 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
Evolving solutions of mixed-model assembly line balancing problems by chaining heuristic optimization methods: track: evolutionary combinatorial optimization and meta-heuristics.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Feature Selection for the Classification of Microcalcifications in Digital Mammograms using Genetic Algorithms, Sequential Search and Class Separability.
Proceedings of the Genetic and Evolutionary Computation: Medical Applications, 2011
2009
Pipelining Memetic Algorithms, Constraint Satisfaction, and Local Search for Course Timetabling.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009
2007
Comparison of Class Separability, Forward Sequential Search and Genetic Algorithms for Feature Selection in the Classification of Individual and Clustered Microcalcifications in Digital Mammograms.
Proceedings of the Image Analysis and Recognition, 4th International Conference, 2007
2004
A Method to Obtain Sensing Requirements in Robotic Assemblies by Geometric Reasoning.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004
2003
Sensing requirements for robotic assembly from an analysis of critical contact transitions.
Proceedings of the IEEE International Conference on Systems, 2003