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Predicting vertical urban growth using genetic evolutionary algorithms in Tokyo’s minato ward
(American Society of Civil Engineers, 2018-03)
[Abstract] This article explores the use of evolutionary genetic algorithms to predict scenarios of urban vertical growth in large urban centers. Tokyo’s Minato Ward is used as a case study because it has been one of the ...
Artificial Neuron–Glia Networks Learning Approach Based on Cooperative Coevolution
(World Scientific, 2015-04-06)
[Abstract] Artificial Neuron–Glia Networks (ANGNs) are a novel bio-inspired machine learning approach. They extend classical Artificial Neural Networks (ANNs) by incorporating recent findings and suppositions about the way ...
Evolutionary Computation and QSAR Research
(Bentham Science, 2013)
[Abstract] The successful high throughput screening of molecule libraries for a specific biological property is one of the main improvements in drug discovery. The virtual molecular filtering and screening relies greatly ...
Using Genetic Algorithms to Improve Support Vector Regression in the Analysis of Atomic Spectra of Lubricant Oils
(Emerald, 2016-06)
[Abstract] Purpose
– The purpose of this paper is to assess the quality of commercial lubricant oils. A spectroscopic method was used in combination with multivariate regression techniques (ordinary multivariate ...
Texture classification of proteins using support vector machines and bio-inspired metaheuristics
(Springer, 2014-11-02)
[Abstract] In this paper, a novel classification method of two-dimensional polyacrylamide gel electrophoresis images is presented. Such a method uses textural features obtained by means of a feature selection process for ...
Self-tuning of disk input–output in operating systems
(Elsevier Inc., 2012-01)
One of the most difficult and hard to learn tasks in computer system management is tuning the kernel parameters in order to get the maximum performance. Traditionally, this tuning has been set using either fixed configurations ...
Using Genetic Algorithms for Automatic Recurrent ANN Development: an Application to EEG Signal Classification
(Inderscience, 2013)
[Abstract] ANNs are one of the most successful learning systems. For this
reason, many techniques have been
published that allow the obtaining of
feed-forward networks. However, fe
w ...
A point-based redesign algorithm for designing geometrically complex surfaces. A case study: Miralles's croissant paradox
(Jonh Wiley & Sons, 2020)
[Abstract]: This study explores the use of point clouds for both representation and genetic morphogenesis of complex geometry. The accurate representation of existing objects of complex curved geometry, which are subsequently ...