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Multi-objectivising Combinatorial Optimisation Problems by means of Elementary Landscape Decompositions
Ceberio, J.; Calvo, B.; Mendiburu, A.; Lozano, J.A.
(2017-12)
(2017-12)
In the last decade, many works in combinatorial optimisation have shown that, due to the advances in multi-objective optimisation, the algorithms from this field could be used for solving single-objective problems as well. ...
Learning to classify software defects from crowds: a novel approach
Hernández-González, J.; Rodríguez, D.; Inza, I.; Rachel, H.; Lozano, J.A. (2017-11-01)
(2017-11-01)
In software engineering, associating each reported defect with a cate- gory allows, among many other things, for the appropriate allocation of resources. Although this classification task can be automated using stan- dard ...
A system for airport weather forecasting based on circular regression trees
Rozas-Larrondo, P.; Inza, I.; Lozano, J.A. (2017-11-01)
(2017-11-01)
This paper describes a suite of tools and a model for improving the accuracy of airport weather forecasts produced by numerical weather prediction (NWP) products, by learning from the relationships between previously ...
Early classification of time series by simultaneously optimizing the accuracy and earliness
Mori, U.; Mendiburu, A.; Dasgupta, S.; Lozano, J.A. (2017-10)
; Mendiburu, A.; Dasgupta, S.; Lozano, J.A. (2017-10)
The problem of early classi cation of time series appears naturally in contexts where the data, of temporal nature, is collected over time, and early class predictions are interesting or even required. The objective is to ...
An efficient evolutionary algorithm for the orienteering problem
Kobeaga, G.; Merino, M.; Lozano, J.A. (2017-09-06)
; Merino, M.; Lozano, J.A. (2017-09-06)
This paper deals with the Orienteering Problem, which is a routing problem. In the Orienteering Problem, each node has a profit assigned and the goal is to find the route that maximizes the total collected profit subject ...
On-Line Dynamic Time Warping for Streaming Time Series
Oregui, I.; Pérez, A.; Del Ser, J.; Lozano, J.A. (2017-09)
; Del Ser, J.; Lozano, J.A. (2017-09)
Dynamic Time Warping is a well-known measure of dissimilarity between time series. Due to its flexibility to deal with non-linear distortions along the time axis, this measure has been widely utilized in machine learning ...
The Weighted Independent Domination Problem: ILP Model and Algorithmic Approaches
Pinacho Davidson, P.; Blum, C.; Lozano, J.A. (2017-08-30)
(2017-08-30)
This work deals with the so-called weighted independent domination problem, which is an $NP$-hard combinatorial optimization problem in graphs. In contrast to previous work, this paper considers the problem from a ...
Measuring the Class-imbalance Extent of Multi-class Problems
Ortigosa-Hernández, J.; Inza, I.; Lozano, J.A. (2017-07-30)
(2017-07-30)
Since many important real-world classification problems involve learning from unbalanced data, the challenging class-imbalance problem has lately received con- siderable attention in the community. Most of the methodological ...
Nature-inspired approaches for distance metric learning in multivariate time series classification
Oregui, I.; Del Ser, J.; Pérez, A.; Lozano, J.A. (2017-07)
; Pérez, A.; Lozano, J.A. (2017-07)
The applicability of time series data mining in many different fields has motivated the scientific community to focus on the development of new methods towards improving the performance of the classifiers over this particular ...
Evolutionary algorithms to optimize low-thrust trajectory design in spacecraft orbital precession mission
Shirazi, A.; Ceberio, J.; Lozano, J.A. (2017-06-06)
; Ceberio, J.; Lozano, J.A. (2017-06-06)
In space environment, perturbations make the spacecraft lose its predefined orbit in space. One of these undesirable changes is the in-plane rotation of space orbit, denominated as orbital precession. To overcome this ...