Antonio LaTorre

Orcid: 0000-0002-8718-5735

Affiliations:
  • Universidad Politécnica de Madrid, Spain


According to our database1, Antonio LaTorre authored at least 47 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Military Applications of Machine Learning: A Bibliometric Perspective.
CoRR, 2024

Artificial Intelligence for the Future of Construction - abstract.
Proceedings of the 1st International Conference on Smart Automation & Robotics for Future Industry (SMARTINDUSTRY 2024), 2024

2023
Tourism destination events classifier based on artificial intelligence techniques.
Appl. Soft Comput., November, 2023

Evolutionary-Based Generative Design for Electric Transmission Towers.
Proceedings of the Artificial Intelligence and Soft Computing, 2023

Sequential Hybridization of Online Surrogate Models for Continuous Optimization.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation.
Swarm Evol. Comput., 2022

2021
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems.
Swarm Evol. Comput., 2021

A prescription of methodological guidelines for comparing bio-inspired optimization algorithms.
Swarm Evol. Comput., 2021

3D segmentation of neuronal nuclei and cell-type identification using multi-channel information.
Expert Syst. Appl., 2021

Surrogate-based optimisation for a hospital simulation scenario using pairwise classifiers.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Model calibration using a parallel differential evolution algorithm in computational neuroscience: Simulation of stretch induced nerve deficit.
J. Comput. Sci., 2020

Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics.
CoRR, 2020

On The Role Of Execution Order In Hybrid Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Fostering interpretability of data mining models through data perturbation.
Expert Syst. Appl., 2019

Comparing Large-Scale Global Optimization Competition winners in a real-world problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions.
Cogn. Comput., 2018

SHADE with Iterative Local Search for Large-Scale Global Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Toolkit for the Automatic Comparison of Optimizers: Comparing Large-Scale Global Optimizers Made Easy.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
On the scalability of population restart mechanisms on large-scale global optimization.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A comparison of three large-scale global optimizers on the CEC 2017 single objective real parameter numerical optimization benchmark.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2015
A comprehensive comparison of large scale global optimizers.
Inf. Sci., 2015

2014
Distributed Estimation of Distribution Algorithms for continuous optimization: How does the exchanged information influence their behavior?
Inf. Sci., 2014

Designer-driven 3D buildings generated using Variable Neighborhood Search.
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

2013
Evaluating the Multiple Offspring Sampling framework on complex continuous optimization functions.
Memetic Comput., 2013

A variable neighborhood search algorithm for the optimization of a dial-a-ride problem in a large city.
Expert Syst. Appl., 2013

Segmentation of neuronal nuclei based on clump splitting and a two-step binarization of images.
Expert Syst. Appl., 2013

Soft computing for content generation: Trading market in a basketball management video game.
Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013

Large scale global optimization: Experimental results with MOS-based hybrid algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
A new methodology for the automatic creation of adaptive hybrid algorithms.
Intell. Data Anal., 2012

Multiple Offspring Sampling in Large Scale Global Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
A MOS-based dynamic memetic differential evolution algorithm for continuous optimization: a scalability test.
Soft Comput., 2011

A direct optimization approach to the P300 speller.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

A differential evolution algorithm for the detection of synaptic vesicles.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Benchmarking a hybrid DE-RHC algorithm on real world problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
A new initialization procedure for the distributed estimation of distribution algorithms.
Soft Comput., 2010

Learning hybridization strategies in evolutionary algorithms.
Intell. Data Anal., 2010

Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Benchmarking a MOS-based algorithm on the BBOB-2010 noiseless function testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Automatically Modeling Hybrid Evolutionary Algorithms from Past Executions.
Proceedings of the Applications of Evolutionary Computation, 2010

2009
A framework for hybrid dynamic evolutionary algorithms : multiple offspring sampling (MOS).
PhD thesis, 2009

A Memetic Differential Evolution Algorithm for Continuous Optimization.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Tentative Exploration on Reinforcement Learning Algorithms for Stochastic Rewards.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Hybrid evolutionary algorithms for large scale continuous problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Quality measures to adapt the participation in MOS.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Machine Learning to Analyze Migration Parameters in Parallel Genetic Algorithms.
Proceedings of the Innovations in Hybrid Intelligent Systems, 2008

Voronoi-initializated island models for solving real-coded deceptive problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Using multiple offspring sampling to guide genetic algorithms to solve permutation problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008


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