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Multiobjectivising Combinatorial Optimisation Problems by means of Elementary Landscape Decompositions
(Evolutionary Computation, 201712)In the last decade, many works in combinatorial optimisation have shown that, due to the advances in multiobjective optimisation, the algorithms from this field could be used for solving singleobjective problems as well. ... 
A system for airport weather forecasting based on circular regression trees
(Environmental Modelling & Software, 20171101)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 ... 
Learning to classify software defects from crowds: a novel approach
(Applied Soft Computing, 20171101)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 ... 
Early classification of time series by simultaneously optimizing the accuracy and earliness
(IEEE Transactions on Neural Networks and Learning Systems, 201710)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
(Computers and Operations Research, 20170906)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 ... 
The Weighted Independent Domination Problem: ILP Model and Algorithmic Approaches
(European Journal of Operational Research, 20170830)This work deals with the socalled 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 Classimbalance Extent of Multiclass Problems
(Pattern Recognition Letter, 20170730)Since many important realworld classification problems involve learning from unbalanced data, the challenging classimbalance problem has lately received con siderable attention in the community. Most of the methodological ... 
The weighted independent domination problem: ILP model and algorithmic approaches
(Lecture Notes in Computer Science, 20170601)This work deals with the socalled weighted independent domination problem, which is an N P hard combinatorial optimization problem in graphs. In contrast to previous theoretical work from the liter ature, this paper ... 
Evolutionary algorithms to optimize lowthrust trajectory design in spacecraft orbital precession mission
(IEEE Congress on Evolutionary Computation, 20170606)In space environment, perturbations make the spacecraft lose its predefined orbit in space. One of these undesirable changes is the inplane rotation of space orbit, denominated as orbital precession. To overcome this ... 
An investigation of clustering strategies in manyobjective optimization: the IMulti algorithm as a case study
(Swarm Intelligence, 20170330)A variety of general strategies have been applied to enhance the performance of multiobjective optimization algorithms for manyobjective optimization problems (those with more than three objectives). One of these strategies ... 
A novel adaptive densitybased ACO algorithm with minimal encoding redundancy for clustering problems
(2016 IEEE Congress on Evolutionary Computation, CEC 2016, 20161114)In the socalled Big Data paradigm descriptive analytics are widely conceived as techniques and models aimed at discovering knowledge within unlabeled datasets (e.g. patterns, similarities, etc) of utmost help for subsequent ... 
Multiobjective Optimization of Orbit Transfer Trajectory Using Imperialist Competitive Algorithm
(IEEE Aerospace Conference, 20170304)This paper proposes a systematic direct approach to carry out effective multiobjective optimization of space orbit transfer with highlevel thrust acceleration. The objective is to provide a transfer trajectory with ... 
Analysis of a hybrid Genetic Simulated Annealing strategy applied in multiobjective optimization of orbital maneuvers
(IEEE Aerospace and Electronic Systems Magazine, 20170327)Optimization of orbital maneuvers is one of the main issues in conceptual and preliminary design of spacecraft in different space missions. The main issue in optimization of highthrust orbit transfers is that the common ... 
An optimization tool to design the field of a Solar Power Tower plant allowing heliostats of different sizes
(International Journal of Energy Research, 20161030)The design of a Solar Power Tower plant involves the optimization of the heliostat field layout. Fields are usually designed to have all heliostats of identical size. Although the use of a single heliostat size has been ... 
Estimating attraction basin sizes
(Lecture Notes in Computer Science, 20161001)The performance of local search algorithms is influenced by the properties that the neighborhood imposes on the search space. Among these properties, the number of local optima has been traditionally considered as a ... 
A note on the Boltzmann distribution and the linear ordering problem
(Lecture Notes in Computer Science, 20161001)The Boltzmann distribution plays a key role in the field of optimization as it directly connects this field with that of probability. Basically, given a function to optimize, the Boltzmann distribution associated to this ... 
Improved Quantification of Important Beer Quality Parameters based on Nonlinear Calibration Methods applied to FTMIR Spectra
(Analytical and Bioanalytical Chemistry, 20160714)During the production process of beer, it is of utmost importance to guarantee a high consistency of the beer quality. For instance, the bitterness is an essential quality parameter which has to be controlled within the ... 
An efficient approximation to the Kmeans clustering for Massive Data
(KnowledgeBased Systems, 20160628)Due to the progressive growth of the amount of data available in a wide variety of scientific fields, it has become more difficult to manipulate and analyze such information. In spite of its dependency on the initial ... 
Fitting the data from embryo implantation prediction: Learning from label proportions
(Statistical Methods in Medical Research, 20160101)Machine learning techniques have been previously used to assist clinicians to select embryos for humanassisted reproduction. This work aims to show how an appropriate modeling of the problem can contribute to improve ... 
An empirical study on collective intelligence algorithms for video games problemsolving
(Computing and Informatics, 20151231)Computational intelligence (CI), such as evolutionary computation or swarm intelligence methods, is a set of bioinspired algorithms that have been widely used to solve problems in areas like planning, scheduling or ...