Fabio Caraffini

Diederick Vermetten

Madalina-Andreea Mitran

Daniela Zaharie

Evol. Comput., 2024

Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Towards a software tool for general meal optimisation.

[BibT_eX]

[DOI]

James Izzard

Lina María Sepúlveda-Cano

Francisco Chiclana

Appl. Intell., April, 2023

An evolutionary intelligent control system for a flexible joints robot.

[BibT_eX]

[DOI]

Alejandro Peña

Juan C. Tejada

Juan David Gonzalez-Ruiz

Francisco Chiclana

María Solange Sánchez-Pinzón

Mario Gongora

Appl. Soft Comput., March, 2023

Driving in the Rain: A Survey toward Visibility Estimation through Windshields.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2023

Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning.

[BibT_eX]

[DOI]

Juan F. Pérez-Pérez

Isis Bonet Cruz

Christian Lochmuller

Proceedings of the IEEE International Symposium on Technology and Society, 2023

Extended Reality, Augmented Users, and Design Implications for Virtual Learning Environments.

[BibT_eX]

[DOI]

Lilian Genaro Motti Ader

Proceedings of the IEEE International Symposium on Technology and Society, 2023

Modular Differential Evolution.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Deep BIAS: Detecting Structural Bias using Explainable AI.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite.

[BibT_eX]

[DOI]

Madalina-Andreea Mitran

Daniela Zaharie

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Image Processing Model to Estimate Nutritional Values in Raw and Cooked Vegetables.

[BibT_eX]

[DOI]

Proceedings of the 34th Conference of Open Innovations Association, 2023

An AI-Based Support System for Microgrids Energy Management.

[BibT_eX]

[DOI]

Alejandro Puerta

Santiago Horacio Hoyos

Isis Bonet

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

An Intelligent Optimised Estimation of the Hydraulic Jump Roller Length.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

2022

BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

A new moving peaks benchmark with attractors for dynamic evolutionary algorithms.

[BibT_eX]

[DOI]

Matthew Fox

Shengxiang Yang

Swarm Evol. Comput., 2022

Using self-organising maps to predict and contain natural disasters and pandemics.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2022

Applications of computational intelligence-based systems for societal enhancement.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2022

Direct deduction of chemical class from NMR spectra.

[BibT_eX]

[DOI]

Carlos Cobas

Agustin Barba

Ricardo Moreira Borges

CoRR, 2022

Using structural bias to analyse the behaviour of modular CMA-ES.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

SCIPS: A serious game using a guidance mechanic to scaffold effective training for cyber security.

[BibT_eX]

[DOI]

Stuart O'Connor

Salim Hasshu

James Bielby

Richard Smith

Inf. Sci., 2021

Differential evolution outside the box.

[BibT_eX]

[DOI]

Thomas Bäck

Inf. Sci., 2021

Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events.

[BibT_eX]

[DOI]

Juan David Gonzalez-Ruiz

Eduardo Duque-Grisales

Appl. Soft Comput., 2021

Is there anisotropy in structural bias?

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Emergence of structural bias in differential evolution.

[BibT_eX]

[DOI]

Bas van Stein

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Re-sampled inheritance compact optimization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection.

[BibT_eX]

[DOI]

Inf. Fusion, 2020

Shallow buried improvised explosive device detection via convolutional neural networks.

[BibT_eX]

[DOI]

Integr. Comput. Aided Eng., 2020

A Robust Decision-Making Framework Based on Collaborative Agents.

[BibT_eX]

[DOI]

IEEE Access, 2020

Can Compact Optimisation Algorithms Be Structurally Biased?

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

A Neural Network for Interpolating Light-Sources.

[BibT_eX]

[DOI]

Stuart O'Connor

Zacharias A. Anastassi

Simon Coupland

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Can Single Solution Optimisation Methods Be Structurally Biased?

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

An Experimental Study of Prediction Methods in Robust optimization Over Time.

[BibT_eX]

[DOI]

Matthew Fox

Shengxiang Yang

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Multi-Agent System for Modelling the Spread of Lethal Wilt in Oil-Palm Plantations.

[BibT_eX]

[DOI]

Conor Fahy

Mario Gongora

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Oil Palm Detection via Deep Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Identifying Parkinson's Disease Through the Classification of Audio Recording Data.

[BibT_eX]

[DOI]

James Bielby

Stuart O'Connor

Zacharias A. Anastassi

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

A study on rotation invariance in differential evolution.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2019

HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain.

[BibT_eX]

[DOI]

Michael G. Epitropakis

Inf. Sci., 2019

Infeasibility and structural bias in differential evolution.

[BibT_eX]

[DOI]

David Corne

Inf. Sci., 2019

Application of uninorms to market basket analysis.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2019

Compact Optimization Algorithms with Re-Sampled Inheritance.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation, 2019

2018

Rotation Invariance and Rotated Problems: An Experimental Study on Differential Evolution.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation, 2018

2017

Large Scale Problems in Practice: The Effect of Dimensionality on the Interaction Among Variables.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

2015

Cluster-Based Population Initialization for differential evolution frameworks.

[BibT_eX]

[DOI]

Ilpo Poikolainen

Inf. Sci., 2015

Structural bias in population-based algorithms.

[BibT_eX]

[DOI]

Inf. Sci., 2015

Multicriteria adaptive differential evolution for global numerical optimization.

[BibT_eX]

[DOI]

Integr. Comput. Aided Eng., 2015

Continuous Parameter Pools in Ensemble Differential Evolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

2014

An analysis on separability for Memetic Computing automatic design.

[BibT_eX]

[DOI]

Lorenzo Picinali

Inf. Sci., 2014

Multi-Strategy coevolving aging Particle Optimization.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2014

A Separability Prototype for Automatic Memes with Adaptive Operator Selection.

[BibT_eX]

[DOI]

Michael G. Epitropakis

Edmund K. Burke

Proceedings of the 2014 IEEE Symposium on Foundations of Computational Intelligence, 2014

A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms.

[BibT_eX]

[DOI]

Ponnuthurai Nagaratnam Suganthan

Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

2013

Re-sampled inheritance search: high performance despite the simplicity.

[BibT_eX]

[DOI]

Soft Comput., 2013

Parallel memetic structures.

[BibT_eX]

[DOI]

Inf. Sci., 2013

Memory-saving memetic computing for path-following mobile robots.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2013

Micro-differential evolution with extra moves along the axes.

[BibT_eX]

[DOI]

Ilpo Poikolainen

Proceedings of the 2013 IEEE Symposium on Differential Evolution, 2013

Re-sampling search: A seriously simple memetic approach with a high performance.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Workshop on Memetic Computing, 2013

Single particle algorithms for continuous optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Super-fit Multicriteria Adaptive Differential Evolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

A CMA-ES super-fit scheme for the re-sampled inheritance search.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Compact Differential Evolution Light: High Performance Despite Limited Memory Requirement and Modest Computational Overhead.

[BibT_eX]

[DOI]