All Stories

  1. Improving the Performance of EA-based Multi-population Models for Feature Selection Problems by Reducing the Individual Size in the Initial Population
  2. Design of a Standard and Programmatically Accessible Interface for Smart Meters to Allow Monitoring Automation of the Energy Consumed by the Execution of Computer Software
  3. Boosting NSGA-II-Based Wrappers Speedup for High-Dimensional Data: Application to EEG Classification
  4. Towards the Identification of Multiclass Lung Cancer-Related Genes: An Evolutionary and Intelligent Procedure
  5. Ant colony optimization for feature selection via a filter-randomized search heuristic
  6. Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data
  7. A lexicographic cooperative co-evolutionary approach for feature selection
  8. Understanding Power Quality using IoT-based Smart Analyzers and Advanced Software Tools
  9. (Invited) Versatile Compact Model and Evolutionary Parameter Extraction Method for Organic Thin-Film Transistors
  10. Unified electrical model for the contact regions of staggered Thin Film Transistors
  11. Energy-Time Profiling for Machine Learning Methods to EEG Classification
  12. Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification
  13. Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification
  14. A parallel and distributed multi-population GA with asynchronous migrations
  15. Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off
  16. Versatile model for the contact region of organic thin-film transistors
  17. Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG Classification
  18. Distributed multi-objective evolutionary optimization using island-based selective operator application
  19. Evolutionary Computation for Parameter Extraction of Organic Thin-Film Transistors Using Newly Synthesized Liquid Crystalline Nickel Phthalocyanine
  20. Compact modeling of the effects of illumination on the contact region of organic phototransistors
  21. Time-energy analysis of multilevel parallelism in heterogeneous clusters: the case of EEG classification in BCI tasks
  22. (Invited) Evolutionary Parameter Extraction for Organic TFT Compact Models Including Contact Effects
  23. A new multi-objective wrapper method for feature selection – Accuracy and stability analysis for BCI
  24. Many-Objective Cooperative Co-evolutionary Feature Selection: A Lexicographic Approach
  25. Constrained Many-Objective Evolutionary Extraction Procedure for an OTFT Compact Model Including Contact Effects
  26. Evolutionary parameter extraction for an organic TFT compact model including contact effects
  27. Speedup and Energy Analysis of EEG Classification for BCI Tasks on CPU-GPU Clusters
  28. A Power–Performance Perspective to Multiobjective Electroencephalogram Feature Selection on Heterogeneous Parallel Platforms
  29. Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters
  30. Prediction of energy consumption in a NSGA-II-based evolutionary algorithm
  31. Energy‐aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU‐GPU architectures
  32. Classification of Breast Cancer Histopathological Images Using KAZE Features
  33. Statistical Analysis of the Main Configuration Parameters of the Network Dynamic and Adaptive Radio Protocol (DARP)
  34. Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU–GPU architectures
  35. mDARAL: A Multi-Radio Version for the DARAL Routing Algorithm
  36. Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis
  37. Improving Memory Accesses for Heterogeneous Parallel Multi-objective Feature Selection on EEG Classification
  38. Issues on GPU Parallel Implementation of Evolutionary High-Dimensional Multi-objective Feature Selection
  39. Power-Performance Evaluation of Parallel Multi-objective EEG Feature Selection on CPU-GPU Platforms
  40. DARAL: A Dynamic and Adaptive Routing Algorithm for Wireless Sensor Networks
  41. Enabling Validation of IEEE 802.15.4 Performance through a New Dual-Radio Omnet++ Model
  42. Studying the effect of population size in distributed evolutionary algorithms on heterogeneous clusters
  43. Addressing High Dimensional Multi-objective Optimization Problems by Coevolutionary Islands with Overlapping Search Spaces
  44. Assessing Parallel Heterogeneous Computer Architectures for Multiobjective Feature Selection on EEG Classification
  45. Fine-Tuning the DARP Wireless Sensor Routing Protocol
  46. A Methodology to Develop Service Oriented Evolutionary Algorithms
  47. DARP: dynamic and adaptive radio protocol for wireless sensor networks
  48. Tree Depth Influence in Genetic Programming for Generation of Competitive Agents for RTS Games
  49. Identification of saccadic components in spinocerebellar ataxia applying an independent component analysis algorithm
  50. Developing services in a service oriented architecture for evolutionary algorithms
  51. The Use of Video-Gaming Devices as a Motivation for Learning Embedded Systems Programming
  52. Deploying intelligent e-health services in a mobile gateway
  53. Service oriented evolutionary algorithms
  54. A DSP embedded system. Application to digital communication systems
  55. Preface to the special issue on: Emerging Applications of Embedded Systems Research
  56. Context-Awareness in a Service Oriented e-Health Platform
  57. Pulse Component Modification Detection in Spino Cerebellar Ataxia 2 Using ICA
  58. Local-global neuro-fuzzy system for color change modelling
  59. Evaluation of electro-oculography data for ataxia SCA-2 classification: A blind source separation approach
  60. Applying independent component analysis to the evaluation of saccadic waveform changes in patients of spino cerebellar ataxia (SCA-2)
  61. Modifications in saccadic pulse and step components in Cuban ataxia SCA2 patients
  62. Predicting marital dissolutions using radial basis function neural networks
  63. A Distributed Service Oriented Framework for Metaheuristics Using a Public Standard
  64. Evolution of XPath Lists for Document Data Selection
  65. Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems
  66. A Data Mining Approach Based on a Local-Global Fuzzy Modelling for Prediction of Color Change after Tooth Bleaching Using Vita Classical Shades
  67. Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2
  68. Using UN/CEFACT’S Modelling Methodology (UMM) in e-Health Projects
  69. 169. Processing of saccadic electro-oculographic data in clinical studies of SCA2
  70. Using fuzzy logic to improve a clustering technique for function approximation
  71. Studying possibility in a clustering algorithm for RBFNN design for function approximation
  72. Multigrid-based fuzzy systems for time series prediction: CATS competition
  73. A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application
  74. Output value-based initialization for radial basis function neural networks
  75. Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms
  76. General Logarithmic Image Processing Convolution
  77. Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time
  78. A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design
  79. C-Means Clustering Applied to Speech Discrimination
  80. Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation
  81. Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction
  82. Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems
  83. Multi-objective evolution of fuzzy systems
  84. A Possibilistic Approach to RBFN Centers Initialization
  85. Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach
  86. Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models
  87. Designing a Fast Convolution Under the LIP Paradigm Applied to Edge Detection
  88. Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm
  89. Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model
  90. New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems
  91. RBF CENTERS INITIALIZATION USING FUZZY CLUSTERING TECHNIQUE FOR FUNCTION APPROXIMATION PROBLEMS
  92. Online Global Learning in Direct Fuzzy Controllers
  93. Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning
  94. The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction
  95. Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation
  96. Automatic Construction of Fuzzy Rule-Based Systems: A trade-off between complexity and accuracy maintaining interpretability
  97. Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks
  98. Performance of Message-Passing MATLAB Toolboxes
  99. Studying the Convergence of the CFA Algorithm
  100. Web newspaper layout optimization using simulated annealing
  101. Structure identification in complete rule-based fuzzy systems
  102. A two-stage approach to self-learning direct fuzzy controllers
  103. Application of Artificial Aging Techniques to Samples of Rum and Comparison with Traditionally Aged Rums by Analysis with Artificial Neural Nets
  104. Statistical analysis of the main parameters involved in the design of a genetic algorithm
  105. A new clustering technique for function approximation
  106. Evolutionary Training of Neuro-fuzzy Patches for Function Approximation
  107. Evolutive Identification of Fuzzy Systems for Time-Series Prediction
  108. Neural Networks, Clustering Techniques, and Function Approximation Problems
  109. Optimization of web newspaper layout in real time
  110. Multidimensional and multideme genetic algorithms for the construction of fuzzy systems
  111. A Novel Approach to Self-Adaptation of Neuro-Fuzzy Controllers in Real Time
  112. Assesing the Noise Immunity of Radial Basis Function Neural Networks
  113. Expert Mutation Operators for the Evolution of Radial Basis Function Neural Networks
  114. RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting
  115. Short-Term Prediction of Chaotic Time Series by Using RBF Network with Regression Weights
  116. SHORT-TERM PREDICTION OF CHAOTIC TIME SERIES BY USING RBF NETWORK WITH REGRESSION WEIGHTS
  117. A systematic approach to a self-generating fuzzy rule-table for function approximation
  118. A new radial basis function networks structure: application to time series prediction
  119. Optimizing web newspaper layout using simulated annealing
  120. SA-prop: Optimization of multilayer perceptron parameters using simulated annealing
  121. Optimizing web page layout using an annealed genetic algorithm as client-side script
  122. A First Approach to Birth Weight Prediction Using RBFNNs
  123. Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization
  124. Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems
  125. Self-adaptive robot control using fuzzy logic
  126. Soft-computing techniques for the development of adaptive helicopter flight controller
  127. Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems
  128. Fine control of monotonic systems using a global self-learning adaptive fuzzy controller
  129. Multigrid-based fuzzy systems for time series prediction: CATS competition
  130. Structure identification of fuzzy controllers in real time
  131. A method for structure identification in complete rule-based fuzzy systems
  132. A new sequential learning algorithm using pseudo-Gaussian functions for neuro-fuzzy systems
  133. An enhanced self-organizing controller for real-time process-control applications
  134. Fine tuning of fuzzy controllers using a two-stage algorithm
  135. G-Prop-II: global optimization of multilayer perceptrons using GAs