Robot Base Disturbance Optimization with Compact Differential Evolution Light. - Giovanni Iacca; Fabio Caraffini; Ferrante Neri; Ernesto Mininno (EvoApplications, 2012)

Three variants of three Stage Optimal Memetic Exploration for handling non-separable fitness landscapes. - Fabio Caraffini; Giovanni Iacca; Ferrante Neri; Ernesto Mininno (UKCI, 2012)

The importance of being structured: A comparative study on multi stage memetic approaches. - Fabio Caraffini; Giovanni Iacca; Ferrante Neri; Ernesto Mininno (UKCI, 2012)

Meta-Lamarckian learning in three stage optimal memetic exploration. - Ferrante Neri; Matthieu Weber; Fabio Caraffini; Ilpo Poikolainen (UKCI, 2012)

Compact Differential Evolution Light: High Performance Despite Limited Memory Requirement and Modest Computational Overhead. - Giovanni Iacca; Fabio Caraffini; Ferrante Neri (J. Comput. Sci. Technol., 2012)

A CMA-ES super-fit scheme for the re-sampled inheritance search. - Fabio Caraffini; Giovanni Iacca; Ferrante Neri; Lorenzo Picinali; Ernesto Mininno (IEEE Congress on Evolutionary Computation, 2013)

Super-fit Multicriteria Adaptive Differential Evolution. - Fabio Caraffini; Ferrante Neri; Jixiang Cheng; Gexiang Zhang; Lorenzo Picinali; Giovanni Iacca; Ernesto Mininno (IEEE Congress on Evolutionary Computation, 2013)

Single particle algorithms for continuous optimization. - Giovanni Iacca; Fabio Caraffini; Ferrante Neri; Ernesto Mininno (IEEE Congress on Evolutionary Computation, 2013)

Re-sampling search: A seriously simple memetic approach with a high performance. - Fabio Caraffini; Ferrante Neri; Mario Gongora 001; Benjamin N. Passow (Memetic Computing, 2013)

Micro-differential evolution with extra moves along the axes. - Fabio Caraffini; Ferrante Neri; Ilpo Poikolainen (SDE, 2013)

Memory-saving memetic computing for path-following mobile robots. - Giovanni Iacca; Fabio Caraffini; Ferrante Neri (Appl. Soft Comput., 2013)

Parallel memetic structures. - Fabio Caraffini; Ferrante Neri; Giovanni Iacca; Aran Mol (Inf. Sci., 2013)

Re-sampled inheritance search: high performance despite the simplicity. - Fabio Caraffini; Ferrante Neri; Benjamin N. Passow; Giovanni Iacca (Soft Comput., 2013)

A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms. - Giovanni Iacca; Ferrante Neri; Fabio Caraffini; Ponnuthurai Nagaratnam Suganthan (EvoApplications, 2014)

A Separability Prototype for Automatic Memes with Adaptive Operator Selection. - Michael G. Epitropakis; Fabio Caraffini; Ferrante Neri; Edmund K. Burke (FOCI, 2014)

Multi-Strategy coevolving aging Particle Optimization. - Giovanni Iacca; Fabio Caraffini; Ferrante Neri (Int. J. Neural Syst., 2014)

An analysis on separability for Memetic Computing automatic design. - Fabio Caraffini; Ferrante Neri; Lorenzo Picinali (Inf. Sci., 2014)

Continuous Parameter Pools in Ensemble Differential Evolution. - Giovanni Iacca; Fabio Caraffini; Ferrante Neri (SSCI, 2015)

Multicriteria adaptive differential evolution for global numerical optimization. - Jixiang Cheng; Gexiang Zhang; Fabio Caraffini; Ferrante Neri (Integr. Comput. Aided Eng., 2015)

Structural bias in population-based algorithms. - Anna V. Kononova; David W. Corne; Philippe De Wilde; Vsevolod Shneer; Fabio Caraffini (Inf. Sci., 2015)

Cluster-Based Population Initialization for differential evolution frameworks. - Ilpo Poikolainen; Ferrante Neri; Fabio Caraffini (Inf. Sci., 2015)

Large Scale Problems in Practice: The Effect of Dimensionality on the Interaction Among Variables. - Fabio Caraffini; Ferrante Neri; Giovanni Iacca (EvoApplications (1), 2017)

Rotation Invariance and Rotated Problems: An Experimental Study on Differential Evolution. - Fabio Caraffini; Ferrante Neri (EvoApplications, 2018)

Compact Optimization Algorithms with Re-Sampled Inheritance. - Giovanni Iacca; Fabio Caraffini (EvoApplications, 2019)

Application of uninorms to market basket analysis. - Raymond Moodley; Francisco Chiclana; Fabio Caraffini; Jenny Carter (Int. J. Intell. Syst., 2019)

Infeasibility and structural bias in differential evolution. - Fabio Caraffini; Anna V. Kononova; David Corne (Inf. Sci., 2019)

HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain. - Fabio Caraffini; Ferrante Neri; Michael G. Epitropakis (Inf. Sci., 2019)

A study on rotation invariance in differential evolution. - Fabio Caraffini; Ferrante Neri (Swarm Evol. Comput., 2019)

Identifying Parkinson's Disease Through the Classification of Audio Recording Data. - James Bielby; Stefan Kuhn 001; Simon Colreavy-Donnelly; Fabio Caraffini; Stuart O'Connor; Zacharias A. Anastassi (CEC, 2020)

Oil Palm Detection via Deep Transfer Learning. - Isis Bonet; Fabio Caraffini; Alejandro Peña; Alejandro Puerta; Mario Gongora 001 (CEC, 2020)

A Multi-Agent System for Modelling the Spread of Lethal Wilt in Oil-Palm Plantations. - Conor Fahy; Fabio Caraffini; Mario Gongora 001 (CEC, 2020)

Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform. - Johana Florez-Lozano; Fabio Caraffini; Carlos Parra 001; Mario Gongora 001 (CEC, 2020)

An Experimental Study of Prediction Methods in Robust optimization Over Time. - Matthew Fox; Shengxiang Yang; Fabio Caraffini (CEC, 2020)

Can Single Solution Optimisation Methods Be Structurally Biased? - Anna V. Kononova; Fabio Caraffini; Hao Wang 025; Thomas Bäck (CEC, 2020)

A Neural Network for Interpolating Light-Sources. - Simon Colreavy-Donnelly; Stefan Kuhn 001; Fabio Caraffini; Stuart O'Connor; Zacharias A. Anastassi; Simon Coupland (COMPSAC, 2020)

Can Compact Optimisation Algorithms Be Structurally Biased? - Anna V. Kononova; Fabio Caraffini; Hao Wang 025; Thomas Bäck (PPSN (1), 2020)

A Robust Decision-Making Framework Based on Collaborative Agents. - Johana Florez-Lozano; Fabio Caraffini; Carlos Parra 001; Mario Gongora 001 (IEEE Access, 2020)

Shallow buried improvised explosive device detection via convolutional neural networks. - Simon Colreavy-Donnelly; Fabio Caraffini; Stefan Kuhn 001; Mario Gongora 001; Johana Florez-Lozano; Carlos Parra 001 (Integr. Comput. Aided Eng., 2020)

Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection. - Johana Florez-Lozano; Fabio Caraffini; Carlos Parra 001; Mario Gongora 001 (Inf. Fusion, 2020)

Re-sampled inheritance compact optimization. - Giovanni Iacca; Fabio Caraffini (Knowl. Based Syst., 2020)

Emergence of structural bias in differential evolution. - Bas van Stein; Fabio Caraffini; Anna V. Kononova (GECCO Companion, 2021)

Is there anisotropy in structural bias? - Diederick Vermetten; Anna V. Kononova; Fabio Caraffini; Hao Wang 025; Thomas Bäck (GECCO Companion, 2021)

Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events. - Alejandro Peña; Alejandro Patino 001; Francisco Chiclana; Fabio Caraffini; Mario Gongora 001; Juan David Gonzalez-Ruiz; Eduardo Duque-Grisales (Appl. Soft Comput., 2021)

Differential evolution outside the box. - Anna V. Kononova; Fabio Caraffini; Thomas Bäck (Inf. Sci., 2021)

SCIPS: A serious game using a guidance mechanic to scaffold effective training for cyber security. - Stuart O'Connor; Salim Hasshu; James Bielby; Simon Colreavy-Donnelly; Stefan Kuhn 001; Fabio Caraffini; Richard Smith 002 (Inf. Sci., 2021)

Using structural bias to analyse the behaviour of modular CMA-ES. - Diederick Vermetten; Fabio Caraffini; Bas van Stein; Anna V. Kononova (GECCO Companion, 2022)

Direct deduction of chemical class from NMR spectra. - Stefan Kuhn 001; Carlos Cobas; Agustin Barba; Simon Colreavy-Donnelly; Fabio Caraffini; Ricardo Moreira Borges (CoRR, 2022)

Applications of computational intelligence-based systems for societal enhancement. - Fabio Caraffini; Francisco Chiclana; Raymond Moodley; Mario Gongora 001 (Int. J. Intell. Syst., 2022)

Using self-organising maps to predict and contain natural disasters and pandemics. - Raymond Moodley; Francisco Chiclana; Fabio Caraffini; Mario Gongora 001 (Int. J. Intell. Syst., 2022)

A new moving peaks benchmark with attractors for dynamic evolutionary algorithms. - Matthew Fox; Shengxiang Yang; Fabio Caraffini (Swarm Evol. Comput., 2022)

BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain. - Diederick Vermetten; Bas van Stein; Fabio Caraffini; Leandro L. Minku; Anna V. Kononova (IEEE Trans. Evol. Comput., 2022)

An Intelligent Optimised Estimation of the Hydraulic Jump Roller Length. - Antonio Agresta; Chiara Biscarini; Fabio Caraffini; Valentino Santucci (EvoApplications@EvoStar, 2023)

A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops. - Alejandro Peña; Alejandro Puerta; Isis Bonet; Fabio Caraffini; Mario Gongora 001; Ivan Ochoa (EvoApplications@EvoStar, 2023)

An AI-Based Support System for Microgrids Energy Management. - Alejandro Puerta; Santiago Horacio Hoyos; Isis Bonet; Fabio Caraffini (EvoApplications@EvoStar, 2023)

Image Processing Model to Estimate Nutritional Values in Raw and Cooked Vegetables. - Tan Jo Yen; Sivakumar Vengusamy; Fabio Caraffini; Stefan Kuhn 001; Simon Colreavy-Donnelly (FRUCT, 2023)

Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite. - Madalina-Andreea Mitran; Anna V. Kononova; Fabio Caraffini; Daniela Zaharie (GECCO Companion, 2023)

Deep BIAS: Detecting Structural Bias using Explainable AI. - Bas van Stein; Diederick Vermetten; Fabio Caraffini; Anna V. Kononova (GECCO Companion, 2023)

Modular Differential Evolution. - Diederick Vermetten; Fabio Caraffini; Anna V. Kononova; Thomas Bäck (GECCO, 2023)

Extended Reality, Augmented Users, and Design Implications for Virtual Learning Environments. - Lilian Genaro Motti Ader; Katie Crowley; Stefan Kuhn 001; Fabio Caraffini; Turgay Altindag; Simon Colreavy-Donnelly (ISTAS, 2023)

Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning. - Juan F. Pérez-Pérez; Isis Bonet Cruz; María Solange Sánchez-Pinzón; Fabio Caraffini; Christian Lochmuller (ISTAS, 2023)

Metaheuristics in the Balance: A Survey on Memory-Saving Approaches for Platforms with Seriously Limited Resources. - Souheila Khalfi; Fabio Caraffini; Giovanni Iacca (Int. J. Intell. Syst., 2023)

Driving in the Rain: A Survey toward Visibility Estimation through Windshields. - Jarrad Neil Morden; Fabio Caraffini; Ioannis Kypraios; Ali H. Al-Bayatti; Richard Smith 002 (Int. J. Intell. Syst., 2023)

An evolutionary intelligent control system for a flexible joints robot. - Alejandro Peña; Juan C. Tejada; Juan David Gonzalez-Ruiz; Lina María Sepúlveda-Cano; Francisco Chiclana; Fabio Caraffini; Mario Gongora 001 (Appl. Soft Comput., 2023)

Towards a software tool for general meal optimisation. - James Izzard; Fabio Caraffini; Francisco Chiclana (Appl. Intell., 2023)

Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks. - Fabio Caraffini; Hassan Eshkiki; Mostafa Mohammadpour; Nikol Sullo; Christopher H. George (AIiH (2), 2024)

Segmenting Breast Ultrasound Scans Using a Generative Adversarial Network Embedding U-Net. - Abraham Etinosa Enobun; Uche Henry Anakwenze; Aboozar Taherkhani; Zacharias A. Anastassi; Fabio Caraffini; Hassan Eshkiki (AIiH (2), 2024)

An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms. - Leonardo Lucio Custode; Fabio Caraffini; Anil Yaman; Giovanni Iacca (GECCO Companion, 2024)

Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction. - Adebamigbe Fasanmade; Ali H. Al-Bayatti; Jarrad Neil Morden; Fabio Caraffini (CoRR, 2024)

Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multicriteria Decision-Making Approach. - Juan F. Pérez-Pérez; Pablo Isaza Gómez; Isis Bonet; María Solange Sánchez-Pinzón; Fabio Caraffini; Christian Lochmuller (CoRR, 2024)

The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond. - Anna V. Kononova; Diederick Vermetten; Fabio Caraffini; Madalina-Andreea Mitran; Daniela Zaharie (Evol. Comput., 2024)

A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways. - Raziyeh Moghaddas; Fabio Caraffini; Monika Seisenberger (EvoApplications (2), 2025)

Temporal Optimisation of Satellite Image-Based Crop Mapping: A Comparison of Deep Time Series and Semi-Supervised Time Warping Strategies. - Rosie Finnegan; Joseph Metcalfe; Sara Sharifzadeh; Fabio Caraffini; Xianghua Xie; Alberto Hornero; Nicholas W. Synes (IET Comput. Vis., 2025)