Now showing items 21-30 of 59
Adaptive Differential Evolution Applied to Point Matching 2D GIS Data
The impetus behind data analytics and integration is the need for greater insight and data visibility, but since a growing share of our data is multimedia, there is a parallel need for methods that can align multimedia ...
Algorithm Design Issues in Adaptive Differential Evolution: Review and taxonomy
The performance of most metaheuristic algorithms depends on parameters whose settings essentially serve as a key function in determining the quality of the solution and the efficiency of the search. A trend that has emerged ...
An analysis on separability for Memetic Computing automatic design
A Separability Prototype for Automatic Memes with Adaptive Operator Selection
One of the main challenges in algorithmics in general, and in Memetic Computing, in particular, is the automatic design of search algorithms. A recent advance in this direction (in terms of continuous problems) is the ...
Robust Impaired Speech Segmentation Using Neural Network Mixture Model
This paper presents a signal processing technique for segmenting short speech utterances into unvoiced and voiced sections and identifying points where the spectrum becomes steady. The segmentation process is part of a ...
Progressive Preference Articulation for Decision Making in Multi-Objective Optimisation Problems
(IOS Press, 2017-09)
This paper proposes a novel algorithm for addressing multi-objective optimisation problems, by employing a progressive preference articulation approach to decision making. This enables the interactive incorporation of ...
Optimization of Delayed-State Kalman-Filter-based Algorithm via Differential Evolution for Sensorless Control of Induction Motors
This paper proposes the employment of the differential evolution (DE) to offline optimize the covariance matrices of a new reduced delayed-state Kalman-filter (DSKF)-based algorithm which estimates the stator-flux linkage ...
Linear algebra for computational sciences and engineering
A Differential Evolution for Optimisation in Noisy Environment
This paper proposes a novel variant of differential evolution (DE) tailored to the optimisation of noisy fitness functions. The proposed algorithm, namely noise analysis differential evolution (NADE), combines the stochastic ...
Spiking Neural P Systems with Communication on Request
(World Scientific, 2017-10-05)
Spiking Neural P Systems are Neural System models characterised by the fact that each neuron mimics a biological cell and the communication between neurons is based on spikes. In the Spiking Neural P systems investigated ...