Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016)

Name: Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016)
Brand: Springer
Price: 213.99 EUR
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Ajith Abraham Abdelkrim Haqiq Adel M. Alimi Ghita Mezzour Nizar Rokbani Azah Kamilah Muda(Editor)

Springer (Publisher)

Published on 21. February 2017

XIX, 601 pages

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Content

Intro
HIS 2016 - Welcome Message
Organization
Honorary Chairs
General Chairs
Program Committee Chairs
Organizing Chairs
Organizing Committee
Publication Chair
Advisory Board members
Web Administrator
Technical Program Committee
Organizers
Sponsors
Contents
Hand Gesture Recognition Using Color Markers
Abstract
1 Introduction
2 Related Work
3 Proposed System
3.1 Image Acquisition
3.2 HSV and Masking
3.3 Noise Removal
3.4 Finding Centroids
3.5 Distance Measurement
3.6 Lookup Table
3.7 Comparison
4 Results
5 Conclusion
References
A Stable Route and the Remaining Time Prediction to Send a Data Packet in Highway Environment
Abstract
1 Introduction
2 Related Work and Motivations
3 Stable Route and Remaining Time Prediction (SRRTP)
3.1 Most-Stable Neighbor
3.2 Minimization of Contention Phase
3.3 Route Lifetime Prediction
3.4 Transmission Time Prediction of the Data Packet
3.5 Route Construction
4 Simulation and Results
5 Conclusion
References
Complex-Valued Neural Network Model and Its Application to Stock Prediction
Abstract
1 Introduction
2 Method
2.1 Complex-Valued Neural Network
2.2 Optimization of Parameters
2.3 Flowchart of Method
3 Experiment
3.1 Data Sets and Evaluation Criteria
3.2 Forecasting Results
4 Conclusion
Acknowledgements
References
Separation of Vertebrae Regions from Cervical Radiographs Using Inter-Vertebra Distance and Orientation
1 Introduction
2 Proposed Method
2.1 Offline Training
2.2 Pre-processing
2.3 Vertebra Detection
2.4 Vertebrae Regions Extraction
3 Results and Evaluation
4 Conclusion
References
Automatic Extraction of Text and Non-text Information Directly from Compressed Document Images
1 Introduction
2 Proposed Method
3 Experimental Results
4 Conclusion
References
Fuzzy Logic Dynamic Parameter Adaptation in the Gravitational Search Algorithm
Abstract
1 Introduction
2 Theoretical Basis
3 Methodology
4 Experiments and Results
5 Conclusions
References
Recurrent Flexible Neural Tree Model for Time Series Prediction
1 Introduction
2 Tree Encoding of Recurrent Beta Basis Function Neural Network
3 Evolving the Recurrent Flexible Beta Basis Function Neural Tree Model
3.1 Structure Evolving Based Genetic Programming
3.2 Parameter Evolving Based Harmony Search
4 Experimental Results
5 Conclusion
References
Multiple Criteria Inventory Classification Approach Based on Differential Evolution and Electre III
1 Introduction
2 Definitions and Basic Concepts
2.1 Differential Evolution
2.2 Electre III
3 A New Hybrid Approach for ABC MCIC
4 Computational Results
4.1 Adaptation Methods
4.2 Experimental Results
5 Conclusion
References
A New Hybrid Multi-criteria ABC Inventory Classification Model Based on Differential Evolution and Topsis
1 Introduction
2 Theoretical Background
2.1 Differential Evolution
2.2 Topsis
3 Application of DE-Topsis to ABC Inventory Classification
4 Computational Results
5 Conclusion
References
Integration of Game Theory in R2-IBN Framework for Conflict Resolution in a Multi-agents Model of an Extended Enterprise
1 Introduction
2 Related Works
3 MAIS-E2 Model
4 Game Theory Integration in R2-IBN
4.1 Mediator Agent Reasoning Cycle
4.2 Application Steps of Game Theory in the ``Arguments Evaluation'' Module
4.3 Application Steps of Game Theory in the ``Argument Selection'' Module
5 Experimental Validation
6 Conclusion
References
A Novel Approach of Deep Convolutional Neural Networks for Sketch Recognition
Abstract
1 Introduction
2 Related Work
2.1 Natural Photo-Based Image Classification
2.2 Sketch Recognition Using Hand-Crafted Feature Representation
2.3 Sketch Recognition Using Automated Feature Representation
3 Our Work - Methodology
3.1 Preprocessing Dataset Images and Data Augmentation
3.2 Building Our Own CNN Model from Scratch
3.3 Multi-angle and Multi-scale Voting During Test Time
4 Experiments and Results
5 Conclusion
References
Hybrid TDNN-SVM Algorithm for Online Arabic Handwriting Recognition
Abstract
1 Introduction
2 The Beta-Elliptic Model
2.1 Velocity Profile Modeling
2.2 Geometric Profile Modeling
3 Time Delay Neural Network
4 Proposed System
4.1 Preprocessing
4.2 Features Extraction
4.3 Recognition Engine
5 Experiments, Results and Discussion
5.1 Experiments and Results
5.2 Discussion
6 Conclusion
References
3D Geometric Moment Invariants for ATS Drugs Identification: A More Precise Approximation
Abstract
1 Introduction
2 ATS Drug Identification
3 Existing 3D Geometric Moment Invariants
4 Proposed 3D Precise Geometric Moment Invariants for Molecular Structure Representation
5 Experimental Setup
5.1 Data Source Collection
5.2 Experimental Design
6 Experimental Results and Discussions
6.1 Invariance on the Same ATS Molecular Structure Analysis
6.2 Classification of Unknown ATS Drug Molecular Structure
7 Conclusions and Future Works
Acknowledgements
References
An Efficient Dynamic Priority-Queue Algorithm Based on AHP and PSO for Task Scheduling in Cloud Computing
Abstract
1 Introduction
2 Related Work
3 Proposed Work
3.1 Task Scheduling and Problem Description
3.2 The Analytic Hierarchy Process (AHP)
3.3 Particle Swarm Optimization (PSO)
3.4 Proposed Scheduling Approach
4 Experimental Results
4.1 Numeric Example
4.2 Simulation Results
5 Conclusion
References
Hybridization of an Index Based on Concept Lattice with a Terminology Extraction Model for Semantic Information Retrieval Guided by WordNet
1 Introduction
2 Related Works
3 IRAFCA-WN: An Overview
3.1 Index Construction
3.2 Index Disambiguation
3.3 Query Matching and Documents Ranking
4 Comparative Evaluation
4.1 Test Data Description
4.2 Experimentation and Results
4.3 Results Evaluation
5 Conclusion
References
On Integrating Simulated Annealing Within Parallel Genetic Algorithm: An On-Demand Transportation Case Application
1 Introduction
1.1 Background of the Paper
1.2 Related PRT Literature
1.3 Motivation of the Studied Problem
1.4 The Proposed Solution Approach
1.5 Contribution of This Paper
1.6 Outline of This Paper
2 Problem Definition
3 Hybridizing Simulated Annealing and Parallel Genetic Algorithm
3.1 Solution Encoding
3.2 Solution Evaluation
3.3 Genetic Operators
3.4 The Parallel Approach
4 Experimental Validation
5 Conclusions
References
A Survey of Methods and Performances for EEG-Based Emotion Recognition
1 Introduction
2 Preliminaries
2.1 EEG Signal Bands
2.2 Stimuli Datasets
2.3 The Russell's Model: Valence-Arousal Model
3 Emotion Recognition Process
3.1 Stimulus
3.2 EEG Recording
3.3 Preprocessing
3.4 Features Extraction and Selection
3.5 Classification
4 Discussion
5 Future Work
6 Conclusion
References
Text Segmentation with Topic Modeling and Entity Coherence
1 Introduction
2 Background and Related Works
3 Approach Description
3.1 LDA Basics
3.2 Topics-Based Sentence Similarity
3.3 Inter-Sentence Semantic Similarity
3.4 Entity-Based Coherence
3.5 Boundary Detection and Segmentation
4 Evaluations
5 Conclusion
References
Deep Learning for Hot Topic Extraction from Social Streams
Abstract
1 Introduction
2 Related Work
2.1 Data Stream Clustering Algorithms
2.2 Hot Topics Extraction Methods
3 Stacked Autoencoders
4 Proposed Method
4.1 Feature Selection
4.2 Data Representation and Dimension Reduction
4.3 Clustering
5 Experiments
5.1 Training Datasets
5.2 Evaluation of the Proposed Method
5.3 Performance Comparison
6 Conclusion
References
Multi-shot Human Re-identification via Gabor-LBP Based Video Covariance Descriptor
Abstract
1 Introduction
2 Related Works
3 GL-VC Descriptor
3.1 Spatio-Temporal Features Extraction
3.2 Gabor and LBP Features Extraction
3.3 Distance Calculation Between Covariance Matrices
4 Experimental Results
4.1 Experimental Setup
4.2 Evaluating the GL-VC Descriptor Parameters
4.3 Comparison Experimental Results on the CAVIAR4REID Dataset with the-State-of-the-Art
5 Conclusion
Acknowledgements
References
Enriching Trajectories with Semantic Data for a Deeper Analysis of Patterns Extracted
Abstract
1 Introduction
2 Related Work
3 GIS Knowledge Discovery
3.1 Geographic Information System (GIS)
3.2 Knowledge Discovery for GIS
4 Semantic Trajectory Knowledge Discovery
4.1 Raw Trajectory Reconstruction Layer
4.2 Semantic Trajectory Enrichment Layer
4.2.1 Segmentation into Episodes
4.2.2 Episodes Annotation
4.3 Semantic Trajectory Mining
5 Case of Study
6 Discussions and Comparisons
7 Conclusion
References
Diagnosis of Alzheimer Disease from MRI Images of the Brain Throughout Time
Abstract
1 Introduction
2 Proposed Application
2.1 Segmentation
2.2 Extraction of Texture Features
2.3 Classification Using SVM (Support Vector Machine)
3 Result and Discussion
4 Conclusion
References
Energy Aware Hybrid Scheme of Client-Server and Mobile Agent Models for Data Aggregation in Wireless Sensor Networks
Abstract
1 Introduction
2 Related Work
3 Network Model
4 Proposed Scheme
5 Simulation Setup and Discuss the Performance Analysis
6 Conclusion
References
3D CT Denoising by New Combination Between Nl-Mean Filter and Diffusion Tensor
Abstract
1 Introduction
2 Median Absolute Deviation Estimator for Gaussian Noise
3 Our Previous Work
3.1 State of the Art
3.2 Our Proposed Algorithm
4 Experimental Results
5 Conclusion
References
Cost Sensitive Ranking Support Vector Machine for Multi-label Data Learning
Abstract
1 Introduction
2 Imbalanced Labelsets in Multi-label Data Learning
3 Cost Sensitive RankSVM
4 Experimental Study
4.1 Experimental Setting
4.2 Experiment I
4.3 Experiment II
5 Conclusion
Acknowledgments
References
Sparse Learning and Hybrid Probabilistic Oversampling for Alzheimer's Disease Diagnosis
1 Introduction
2 Proposed Method
2.1 Feature Selection by Hinge Loss Combined with Sparse Group Lasso, HLSGL
2.2 Hybrid Probabilistic Sampling
3 Experimental Study
3.1 Dataset and Setting
3.2 Effectiveness of Proposed Kernel Framework
3.3 The Effect of Re-Sampling Ratio on the Performance
4 Conclusion
References
Benchmarking Post-processing Techniques for Offline Arabic Text Recognition System
Abstract
1 Introduction
2 Optical Character Recognition System
2.1 Preprocessing
2.2 Feature Extraction
2.3 HMM Recognition
3 Optical Character Recognition System
3.1 Sequence Alignment
3.2 Rover
3.3 Word n-grams (WB)
3.4 Lexicon Matching (L)
3.5 Google Suggestions (GS)
4 Experimental Results
4.1 Performance Evaluation
4.2 Post-processing Techniques Evaluation
5 Conclusion and Future Work
References
An Empirical Study of the Multi-fragment Tour Construction Algorithm for the Travelling Salesman Problem
1 Introduction
2 Tour Construction: State of the Art
2.1 Nearest Neighbor Heuristic (NN)
2.2 Insertion Heuristic (Ins)
2.3 Tour Construction with Spanning Trees
3 Multi-fragment Heuristic
4 Experimental Results
4.1 MF Heuristic's Performances
4.2 Comparing MF Heuristic with Other TC Methods
5 Conclusion
References
Building Probabilistic Ontologies Based on Meta-Model PODM
Abstract
1 Introduction
2 Related Work
3 PODM: Probabilistic Ontology Definition Meta-Model
4 Extending PODM with a Probabilistic Assertion
5 Constructing a Probabilistic Ontology by Using PODM
6 Conclusion and Perspectives
References
A HMM-Based Arabic/Latin Handwritten/Printed Identification System
1 Introduction
2 Characteristics of Arabic and Latin Scripts
3 Arabic-Latin Nature/Script Identification System
3.1 Preprocessing
3.2 Feature Extraction
3.3 Models Training
4 Experiments and Results
4.1 Word Level Results
4.2 Line Level Results
4.3 Document Level Results
5 Conclusion
References
Vision Based Hand Gesture Recognition for Mobile Devices: A Review
Abstract
1 Introduction
2 Literature Review and Key Issues of Hand Gesture Recognition for Mobile Devices
2.1 Hand Detection and Image Pre-processing
2.2 Features Extraction
2.3 Gesture Classification and Recognition
3 Application Domains of Hand Gesture Recognition for Mobile Devices
3.1 Numbers Recognition
3.2 Sign Language Recognition
3.3 Gaming and Augmented Reality
3.4 Device Control
4 Summary and Prospects
5 Conclusion
References
1D Signal Processing for Improvement of People Counting Estimation Results
1 Introduction
2 Proposed Methodology
2.1 Preprocessing Steps
2.2 Motion Estimation
2.3 Linear Regression Model for Counting of Pilgrims
2.4 Frame-to-Frame Correlation Using Smoothing Filter
3 Experimental Results
3.1 Preprocessing Steps
3.2 Motion Estimation
3.3 Linear Regression Model Using Frame-to-Frame Correlation for Counting of Pilgrims
4 Discussion
5 Conclusion
References
Intelligent Control Strategy of a Three-Phase PWM Rectifier Based on Artificial Neural Networks Approach and Fuzzy Logic Controller
1 Introduction
2 The Mathematical Model of Three-Phase PWM Rectifier
3 The Principle of the Proposed DPC
3.1 System Configuration
3.2 Determination of Instantaneous Powers
4 The Proposed Neural Networks Selector
5 Fuzzy Controller of the dc Bus Voltage
6 Simulation and Analysis
7 Conclusion
References
Multicore Framework for Finding Frequent Item-Sets Using TDS
1 Introduction
2 Related Work
3 Proposed Model
3.1 Modified Data Structure
3.2 Proposed Parallel Framework
4 Results and Discussion
5 Conclusion
References
Toward Context-Aware SLA for Cloud Computing
1 Introduction
2 Related Works
3 Ontology-Based Context-Aware SLA Approach
3.1 SLA and Context Modeling
3.2 Context Reasoning
3.3 Context Dissemination
4 Conclusion
References
An Adapted Entity Summarization Service for an Enhancement Video System
1 Introduction
2 Enhancing System
3 Interliniking Sub-System
4 Entity Summarization Adapted to Interlinking System
4.1 Background
4.2 Entity Summarization Overview
4.3 Adopted Method
5 Conclusions
References
A Hybrid Embedded-Filter Method for Improving Feature Selection Stability of Random Forests
1 Introduction
2 Dimensionnality Reduction by Feature Selection
2.1 Filters
2.2 Wrappers
2.3 Embedded
3 Random Forests for Feature Selection
3.1 Stability Issue of Random Forests
4 Hybrid Embedded-Filter Feature Selection
5 Experimental Study
5.1 Data Sets
5.2 Evaluation Metrics
5.3 Results
6 Conclusion
References
Grey Wolf Optimizer for Training Elman Neural Network
Abstract
1 Introduction
2 Elman Neural Network
3 GWO Trained Elman NN
3.1 Representing Scheme of ENN Trained by GWO
3.2 Objective Function
4 Result Analysis and Discussion
4.1 Breast Cancer
4.2 Mackey-Glass Time Series Prediction
5 Conclusion
Acknowledgments
References
DNA Sequence Classification Using Power Spectrum and Wavelet Neural Network
Abstract
1 Introduction
2 Proposed Approach
2.1 Fourier Transform and Power Spectrum Signal Processing
2.2 Wavelet Neural Network
2.3 Multi Library Wavelet Neural Network (MLWNN)
2.4 Wavelet Network Construction Using the LTS Method
2.5 Approximation of DNA Sequence Signal
2.6 Learning Wavelet Network
3 Results and Discussion
3.1 Classification Results
3.2 Running Time
4 Conclusions
References
A Spiking Neural Network Model with Fuzzy Learning Rate Application for Complex Handwriting Movements Generation
1 Introduction
2 The Proposed Model
2.1 The Beta-elliptic Model for Complex Handwriting Movements Modelling
2.2 The Spiking Neural Network Model
2.3 Fuzzy Learning Rate
3 Simulation Results
4 Conclusion
References
A Method Proposed for Estimating Depressed Feeling Tendencies of Social Media Users Utilizing Their Data
Abstract
1 Introduction
2 Related Works
3 Research Background
3.1 Vocabulary
3.2 Retrieving Tweets
3.3 Automatic Classification Tool
3.4 Semantic Analysis
4 Experimental Analysis
5 Conclusion and Future Work
References
Solving the Traveling Salesman Problem Using Ant Colony Metaheuristic, A Review
Abstract
1 Introduction
2 Ant Colony Algorithm Overview for TSP
2.1 Basic Principles of Ant System Algorithm
2.2 Key Extensions of Ant System Algorithm
2.2.1 Elitist Ant System
2.2.2 MAX-MIN Ant System
2.2.3 Ant Colony System
3 Ant Colony Algorithm with Local Search
4 A Software Application to Solve TSP Based on ACO Variants
4.1 Hardware/Software Platform
4.2 ACO Parameters Setting
4.3 Simulation and Discussions
5 Conclusion and Perspectives
Acknowledgments
References
Hybrid Neural Network and Genetic Algorithm for off-Lexicon Online Arabic Handwriting Recognition
Abstract
1 Introduction
2 Related Work
3 System Overview
3.1 Graphemes Segmentation
3.2 Handwriting Modeling
3.3 Graphemes Classification
3.4 Characters Coding
3.4.1 Coding of a Population
3.4.2 Initial Population
3.4.3 Evaluation Function (Fitness)
3.4.4 Selection
3.4.5 Crossover
3.4.6 Mutation
4 Experimental Results
5 Conclusion
References
Intelligent Hybrid Algorithm for Unsupervised Data Clustering Problem
Abstract
1 Introduction
2 Ant Clustering Algorithm
2.1 The Standard Ant Clustering Algorithm (LF)
2.2 FlyAntClass Algorithm
3 Proposed Methodologies
4 Experimental Results
4.1 Artificial and Real Data Sets
4.2 Evaluation Functions
4.3 Comparative Analysis
5 Conclusion
Acknowledgment
References
Performance Analysis and Security Based on Intrusion Detection and Prevention Systems in Cloud Data Centers
1 Introduction
2 Related Work
3 Proposed System Architecture
3.1 Bro an Intrusion Detection System
4 Analytical Model for IDPS System
5 Performance Parameters
5.1 Description of Performance Parameters
5.2 Numerical Results
6 Conclusion and Future Work
References
Multi-population Discrete Bat Algorithm with Crossover to Solve TSP
1 Introduction
2 Preliminaries
2.1 Bat Algorithm
2.2 An Improved Bat Algorithm (IBA) for TSP
2.3 Crossover Operation
3 The Proposed Algorithm
4 Experimental Results
5 Conclusion
References
A Modified Naïve Bayes Style Possibilistic Classifier for the Diagnosis of Lymphatic Diseases
1 Introduction
2 Related Work
3 Possibilistic Framework
3.1 Possibility Theory
3.2 Conditional Possibility
3.3 Naïve Bayes Style Possibilistic Classification
4 Proposed Classifier
4.1 Estimation of Possibility Beliefs
4.2 Fusion of Possibilistic Beliefs
5 Experimental Evaluations
6 Conclusion
References
A Scheduling Algorithm for Beacon Message in Vehicular Ad Hoc Networks
Abstract
1 Introduction
2 Related Works
3 Performance Evaluation of IEEE 802.11p MAC Protocol
4 SABM: A Scheduling Algorithm for Beacon Message in Vehicular Ad Hoc Networks
4.1 CCH Interval Adjusting
4.2 CCH Interval Dividing
4.3 Message Priority-Based Scheduling
5 Simulation Results and Discussions
5.1 Average End-to-End Beacon Delay
5.2 Throughput of Beacon
5.3 The Collision Probability
6 Conclusions and Future Work
References
Iris Localization Using Mixture of Probability Distributions in the Segmentation Process
Abstract
1 Introduction
2 The Proposed Estimation and Methodology
2.1 Mixture of Probability Distributions
2.2 Parameters Estimation Using EM Algorithm for Independent Data
2.3 Parameters Estimation Using EM Algorithm for Markovian Data
3 Experimentation and Results
4 Conclusion
References
Chaff-Points Generation Using Knapsack Problem Resolution in Fingerprint Fuzzy Vault
Abstract
1 Introduction
2 Chaff Points Generation
2.1 Fingerprint Feature Representation
2.2 Chaff Points Generation Methods
3 Related Work
4 Chaff -Points Generation Using Knapsack Problem
4.1 Knapsack Problem
4.2 Chaff-Points Generation Formulation Using Knapsack Problem
4.3 Chaff-Point Generation Resolving Using 0/1 DP Algorithm
5 Experimental Results
6 Conclusions
Adaptive WSNs Based on HW/SW Implementation of Selective Relaying Communication Technique
1 Introduction
2 Relay Selection Algorithm
2.1 Relaying Protocol Description
2.2 Relay Selection Algorithm Analysis
3 Design and Interfacing of Relay Selection Algorithm
3.1 Hardware Accelerators Implementation
3.2 Test-Bed Results
4 Conclusions
References
Understand Me if You Can! Global Soft Biometrics Recognition from Social Visual Data
Abstract
1 Introduction
2 Materials and Methods
2.1 Social Data
2.2 Social User's Analysis
2.2.1 Social User's Analysis Based on Textual Data
2.2.2 Social User's Analysis Based on Visual Data
2.2.3 Social User's Analysis Based on Both Textual and Visual Data
3 Realized Work
3.1 SmartCityZen Framework
3.1.1 Data Acquisition
3.1.2 Data Integration
3.1.3 Mining Application
3.2 SmartCityZenDB Dataset
3.3 Face++ System: Face-Based Age/Gender/Race and Smile Predictor
4 Experiment Results
4.1 Qualitative Results for Visual and Textual Social Data
4.2 Qualitative Soft Biometrics Information
4.3 Quantitative Results
5 Conclusion
References
Using Data Clustering on ssFPA/DE- a Search Strategy Flower Pollination Algorithm with Differential Evolution
Abstract
1 Introduction
2 Differential Evolution: Background and Literature
3 Flower Pollination Algorithm: Background and Literature
4 Clustering Technique: Background and Literature
5 ssFPA/DE Hybrid Method
6 ssFPA/DE in Clustering
7 Experimental Results
8 Conclusion
References
Distributed Clustering Scheme to Relieving Broadcast Storms in Vehicular Ad-Hoc Network
Abstract
1 Introduction
2 VANETs Technology
2.1 DSRC
2.2 WAVE
3 Proposed Clustering Scheme
3.1 Cluster Head Selection
3.2 Clusters Formation and Maintenance
4 Simulation Results
5 Conclusion
References
PSO for Job-Shop Scheduling with Multiple Operating Sequences Problem - JS
Abstract
1 Introduction
2 Job-Shop Scheduling Problem with Multiple Operating Sequences, JSSP-MOS
2.1 JSSP-MOS Formulation
2.2 JSSP-MOS Hypotheses and Notations
3 PSO for Job Shop Scheduling
3.1 The PSO Algorithm
3.2 The Proposed PSO-VG Algorithm
4 Simulation and Results
4.1 Case1: NumOpSJob = [3 2 2]
4.2 Case2: NumOpSJob = [24 16 16]
5 Conclusion and Perspectives
Acknowledgments
References
Impact of Ant Size on Ant Supervised by PSO, AS-PSO, Performances
Abstract
1 Introduction
2 Methods and Materials
2.1 Particle Swarm Optimization
2.2 Ant Colony Optimization
2.3 The AS-PSO-2Opt Method
2.4 Experimental Procedure
3 Simulation and Results
3.1 AS-PSO-2Opt Parameters Setting
3.2 Effects of Ants Number on AS-PSO-2Opt
4 Conclusion and Perspectives
Acknowledgments
References
Improving Particle Swarm Optimization Using Co-Optimization of Particles and Acceleration Constants
1 Introduction
2 Related Works
3 Methodology
3.1 Experiments
4 Conclusions
References
Spread Control for Huge Data Fuzzy Learning
Abstract
1 Introduction
2 An Overview on Fuzzy Multilevel Interior GSOMs (FMIG) Approach
3 Why Controlling the Spread of Huge Data Learning?
4 Experimental Studies
4.1 Experimental Setting
4.2 Data Sets Description
4.3 Experiments and Discussion
5 Conclusion
Acknowledgments
References
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Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016)

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