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Now showing items 151-156 of 156
Taking charge of one’s own safety while collaborating with robots: Enhancing situational awareness for a safe environment
(MDPI, 2024-05-11)
Collaborative robots, designed to work alongside humans in industrial manufacturing, are becoming increasingly prevalent. These robots typically monitor their distance from workers and slow down or stop when safety thresholds ...
Multi-Start Methods
(Springer, 2018-08-27)
[EN]Multi-start procedures were originally conceived as a way to exploit a local or neighborhood search procedure, by simply applying it from multiple random initial solutions. Modern multi-start methods usually incorporate ...
A Tunable Generator of Instances of Permutation-Based Combinatorial Optimization Problems
(2016-04)
[EN]In this paper, we propose a tunable generator of instances of permutation-based Combinatorial Optimization Problems. Our approach is based on a probabilistic model for permutations, called the Generalized Mallows model. ...
An Evaluation of Methods for Estimating the Number of Local Optima in Combinatorial Optimization Problems
(MIT Press, 2013-11-01)
[EN] The solution of many combinatorial optimization problems is carried out by metaheuristics, which generally make use of local search algorithms. These algorithms use some kind of neighborhood structure over the search ...
A secure data publishing and access service for sensitive data from Living Labs: enabling collaboration with external researchers via shareable data
(MDPI, 2024-05-28)
Intending to enable a broader collaboration with the scientific community while maintaining privacy of the data stored and generated in Living Labs, this paper presents the Shareable Data Publishing and Access Service for ...
Exploring data augmentation and active learning benefits in imbalanced datasets
(MDPI, 2024-06-19)
Despite the increasing availability of vast amounts of data, the challenge of acquiring labeled data persists. This issue is particularly serious in supervised learning scenarios, where labeled data are essential for model ...