27 citations · 29 across the 4 of their papers we have counts for
7 papers
Dynamic Conflict Clustering with Lightweight Learning and Strategic Repair for Distributed Constraint Satisfaction
Raziyeh Moghaddas, Fabio Caraffini
Distributed Constraint Satisfaction Problems (DCSPs) model distributed decision-making in multi-agent systems, where agents assign values to local variables while satisfying shared…
Cropland PAtteRNS: Parallel Dimensional Attention Networks and Attention to Dataset Disparity for Crop Segmentation in Satellite Imagery Time Series Data
Joseph Metcalfe, Sara Sharifzadeh, Fabio Caraffini
The landscape of satellite imagery time series datasets and boundary-pushing architectures for cropland segmentation has never been richer. However, in this gold rush, important tr…
Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction
Adebamigbe Fasanmade, Ali H. Al-Bayatti, Jarrad Neil Morden +1
Risk mitigation techniques are critical to avoiding accidents associated with driving behaviour. We provide a novel Multi-Class Driver Distraction Risk Assessment (MDDRA) model tha…
Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite
Mădălina-Andreea Mitran, Anna V. Kononova, Fabio Caraffini +1
This study investigates the influence of several bound constraint handling methods (BCHMs) on the search process specific to Differential Evolution (DE), with a focus on identifyin…
Modular Differential Evolution
Diederick Vermetten, Fabio Caraffini, Anna V. Kononova +1
New contributions in the field of iterative optimisation heuristics are often made in an iterative manner. Novel algorithmic ideas are not proposed in isolation, but usually as an…
Deep-BIAS: Detecting Structural Bias using Explainable AI
Bas van Stein, Diederick Vermetten, Fabio Caraffini +1
Evaluating the performance of heuristic optimisation algorithms is essential to determine how well they perform under various conditions. Recently, the BIAS toolbox was introduced…
The importance of being constrained: dealing with infeasible solutions in Differential Evolution and beyond
Anna V. Kononova, Diederick Vermetten, Fabio Caraffini +2
We argue that results produced by a heuristic optimisation algorithm cannot be considered reproducible unless the algorithm fully specifies what should be done with solutions gener…