Bilatu
343-tik 1-10 emaitza erakusten
A revisited branch-and-cut algorithm for large-scale orienteering problems
(2024-02-16)
The orienteering problem is a route optimization problem which consists of finding a simple cycle that maximizes the total collected profit subject to a maximum distance limitation. In the last few decades, the occurrence ...
Speeding-Up Evolutionary Algorithms to Solve Black-Box Optimization Problems
(2024-01-10)
Population-based evolutionary algorithms are often considered when approaching computationally expensive black-box optimization problems. They employ a selection mechanism to choose the best solutions from a given population ...
Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences
(2024)
Temporal sequences of satellite images constitute a highly valuable and abundant resource for analyzing regions of interest. However, the automatic acquisition of knowledge on a large scale is a challenging task due to ...
Characterization of rankings generated by pseudo-Boolean functions
(2024)
In this paper we pursue the study of pseudo-Boolean functions as ranking generators. The objective of the work is to find new insights between the relation of the degree
of a pseudo-Boolean function and the rankings ...
Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees
(2023-12)
For a sequence of classification tasks that arrive over time, it is common that tasks
are evolving in the sense that consecutive tasks often have a higher similarity. The
incremental learning of a growing sequence of ...
Minimum-Fuel Low-Thrust Trajectory Optimization Via a Direct Adaptive Evolutionary Approach
(2023-11-28)
Space missions with low-thrust propulsion systems are of appreciable interest to space agencies because of their practicality due to higher specific impulses. This research proposes a technique to the solution of minimum-fuel ...
Spatio‑temporal modelling of high‑throughput phenotyping data
(2023-10-13)
High throughput phenotyping (HTP) platforms and devices are increasingly used to characterise growth and developmental processes for large sets of plant genotypes. This dissertation is motivated by the need to accurately ...
Revisiting Implicit and Explicit Averaging for Noisy Optimization
(2023-10-01)
Explicit and implicit averaging are two well-known strategies for noisy optimization. Both strategies can counteract the disruptive effect of noise; however, a critical question remains: which one is more efficient? This ...