Now showing items 71-90 of 146

• #### Improved Quantification of Important Beer Quality Parameters based on Non-linear Calibration Methods applied to FT-MIR Spectra ﻿

(Analytical and Bioanalytical Chemistry, 2016-07-14)
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 investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study ﻿

(Swarm Intelligence, 2017-03-30)
A variety of general strategies have been applied to enhance the performance of multi-objective optimization algorithms for many-objective optimization problems (those with more than three objectives). One of these strategies ...
• #### Joint topology optimization, power control and spectrum allocation for intra-vehicular multi-hop sensor networks using dandelion-encoded heuristics ﻿

(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016-01-01)
In the last years the interest in multi-hop communications has gained momentum within the research community due to the challenging characteristics of the intra-vehicular radio environment and the stringent robustness ...
• #### K-means for massive data ﻿

(2019-04-30)
The $K$-means algorithm is undoubtedly one of the most popular clustering analysis techniques, due to its easiness in the implementation, straightforward parallelizability and competitive computational complexity, when ...
• #### KETpic-Matlab Toolbox for LaTeX High-Quality Graphical Artwork in Educational Materials on Bézier Curve Algorithms at a Master Level ﻿

(Lecture Notes in Computer Science, 2017-07)
This paper introduces a new toolbox to generate high-quality graphical artwork about the main algorithms for Bézier curves and related topics. The package has been implemented by the authors as a supporting middleware tool ...
• #### Learning to classify software defects from crowds: a novel approach ﻿

(Applied Soft Computing, 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 ...
• #### Load balancing in processor sharing systems ﻿

(Telecommunication Systems, 2011-12-31)
We investigate optimal load balancing strategies for a multi-class multi-server processor-sharing system with a Poisson input stream, heterogeneous service rates, and a server-dependent holding cost per unit time. Specifically, ...
• #### A local search method for graph clustering heuristics based on partitional distribution learning ﻿

(IEEE Congress on Evolutionary Computation, 2017)
The community structure of complex networks reveals hidden relationships in the organization of their constituent nodes. Indeed, many practical problems stemming from different fields of knowledge such as Biology, Sociology, ...
• #### Mallows and generalized Mallows model for matchings ﻿

(Bernoulli, 2019-02-25)
The Mallows and Generalized Mallows Models are two of the most popular probability models for distribu- tions on permutations. In this paper, we consider both models under the Hamming distance. This models can be seen as ...
• #### A mathematical analysis of edas with distance-based exponential models ﻿

(GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019-07-01)
Estimation of Distribution Algorithms have been successfully used for solving many combinatorial optimization problems. One type of problems in which Estimation of Distribution Algorithms have presented strong competitive ...
• #### Measuring the Class-imbalance Extent of Multi-class Problems ﻿

(Pattern Recognition Letter, 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 ...
• #### Millimeter Wave V2V Communications: Distributed Association and Beam Alignment ﻿

(IEEE Journal on Selected Areas in Communications, 2017)
Recently millimeter-wave bands have been postulated as a means to accommodate the foreseen extreme bandwidth demands in vehicular communications, which result from the dissemination of sensory data to nearby vehicles for ...
• #### Modelling latent trends from spatio-temporally grouped data using composite link mixed models ﻿

(2016-07)
Epidemiological data are frequently recorded at coarse spatio-temporal resolutions. The aggregation process is done for several reasons: to protect confidential patients' information, to compare with other datasets at a ...
• #### Modelling spatial trends in sorghum breeding field trials using a two-dimensional P-spline mixed model ﻿

(Theoretical and Applied Genetics, 2017-04-03)
Adjustment for spatial trends in plant breeding field trials is essential for efficient evaluation and selection of genotypes. Current mixed model methods of spatial analysis are based on a multi-step modelling process ...
• #### Monotonicity properties for multi-class queueing systems ﻿

(Discrete Event Dynamic Systems: Theory and Applications, 2010-12-31)
We study multi-dimensional stochastic processes that arise in queueing models used in the performance evaluation of wired and wireless networks. The evolution of the stochastic process is determined by the scheduling policy ...
• #### Multi-objective heuristics applied to robot task planning for inspection plants ﻿

(IEEE Congress on Evolutionary Computation, 2017)
Robotics are generally subject to stringent operational conditions that impose a high degree of criticality on the allocation of resources and the schedule of operations in mission planning. In this regard the so-called ...
• #### Multi-objective Optimization of Orbit Transfer Trajectory Using Imperialist Competitive Algorithm ﻿

(IEEE Aerospace Conference, 2017-03-04)
This paper proposes a systematic direct approach to carry out effective multi-objective optimization of space orbit transfer with high-level thrust acceleration. The objective is to provide a transfer trajectory with ...
• #### Multi-objectivising Combinatorial Optimisation Problems by means of Elementary Landscape Decompositions ﻿

(Evolutionary Computation, 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. ...
• #### Nature-inspired approaches for distance metric learning in multivariate time series classification ﻿

(IEEE Congress on Evolutionary Computation, 2017)
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 ...
• #### Nature-inspired approaches for distance metric learning in multivariate time series classification ﻿

(IEEE Congress on Evolutionary Computation (CEC), 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 ...