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An analysis on separability for Memetic Computing automatic design
(Elsevier, 2014-01-07)
A Separability Prototype for Automatic Memes with Adaptive Operator Selection
(IEEE, 2014-12)
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
(IEEE, 2014)
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 ...
Differential Evolution Schemes for Speech Segmentation: A Comparative Study
(IEEE Press, 2014)
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 ...
A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms
(Springer Berlin Heidelberg, 2014-11)
The ensemble structure is a computational intelligence supervised strategy consisting of a pool of multiple operators that compete among each other for being selected, and an adaptation mechanism that tends to reward the ...
Cluster-Based Population Initialization for differential evolution frameworks
(Elsevier, 2014-11-15)
Abstract This article proposes a procedure to perform an intelligent initialization for population-based algorithms. The proposed pre-processing procedure, namely Cluster-Based Population Initialization (CBPI) consists of ...
An Optimization Spiking Neural P System for Approximately Solving Combinatorial Optimization Problems
(World Scientific Publishing Co, 2014-05-02)
