
Recent Advances in Soft Computing
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Content
- Intro
- Preface
- Organization
- International Program Committee and Reviewers Board
- Executive Organizing Committee and Local Organizers
- Chair and Volume Editor-in-Chief
- Co-chairs and Associate Advisors
- Local Organizers
- Peer Review Manager
- Technical Review Manager
- Senior Organizer
- Junior Organizers
- Contents
- Evolutionary Computing, Swarm Intelligence, Metaheuristics
- A Multilevel Genetic Algorithm for the Maximum Constraint Satisfaction Problem
- 1 Introduction
- 2 Multilevel Genetic Algorithm
- 3 Experimental Results
- 3.1 Experimental Setup
- 3.2 Results
- 4 Conclusion
- References
- Models and Simulations of Queueing Systems
- Abstract
- 1 Introduction
- 2 Classification of Queueing Systems
- 3 The M/M/n/nN/8/FIFO System
- 4 Simulation of Queueing Processes
- 5 Conclusions
- References
- Influence of Random Number Generators on GPA-ES Algorithm Efficiency
- Abstract
- 1 Introduction
- 2 GPA-ES Algorithm
- 3 Experiment Organization
- 4 The Experiments
- 5 Discussion
- 6 Conclusions
- Acknowledgements
- References
- Genetic Algorithm Based Random Selection-Rule Creation for Ontology Building
- Abstract
- 1 Introduction
- 2 Use of Data Mining for Ontology Building
- 3 Application of Genetic Algorithms for Selection Improvement
- 4 Searching for Adequate Random Queries in the Database
- 5 Experiments
- 5.1 Example Database
- 5.2 Database Influence on the Chromosome Structure
- 5.3 Results
- 6 Conclusions and Future Work
- Acknowledgements
- References
- Improving Artificial Fish Swarm Algorithm by Applying Group Escape Behavior of Fish
- Abstract
- 1 Introduction
- 2 Literature Review
- 3 Proposed AFSA with Group Escape Behavior
- 4 Experimental Results
- 5 Conclusion
- Acknowledgements
- References
- Genetic Programming Algorithm Creating and Assembling Subtrees for Making Analytical Functions
- Abstract
- 1 Introduction
- 2 Genetic Programming
- 3 Interference of Waves Based Method
- 4 Genetic Programming Creating and Composing Subtrees Together
- 5 Experiments
- 6 Conclusion
- Acknowledgement
- References
- Comparison of Parallel Linear Genetic Programming Implementations
- 1 Introduction
- 2 Related Work
- 2.1 Linear Genetic Programming
- 2.2 Parallel GP
- 3 Parallel LGP
- 3.1 Fitness Evaluation
- 3.2 Parallel Fitness Evaluation
- 3.3 Island Model for Parallel LGP
- 4 Setup and Benchmark Problems
- 4.1 Setup
- 4.2 Benchmarks Problems
- 5 Results
- 5.1 Symbolic Regression Benchmarks
- 5.2 Hash Function Design
- 6 Conclusions
- References
- Hybridization of Multi-chaotic Dynamics and Adaptive Control Parameter Adjusting jDE Strategy
- Abstract
- 1 Introduction
- 2 Related Work and Motivation
- 3 The Concept of Chaotic jDE
- 4 Chaotic Maps
- 5 Results
- 6 Conclusion
- Acknowledgements
- References
- Geometric Particle Swarm Optimization and Reservoir Computing for Solar Power Forecasting
- 1 Introduction
- 2 Background
- 2.1 Formalization of the Problem
- 2.2 Geometric Particle Swarm Optimization
- 2.3 Echo State Neural Networks
- 3 Methodology
- 4 Experimental Results
- 4.1 Data Description
- 4.2 Discussion of the Results
- 5 Conclusions and Future Work
- References
- WalkSAT Based-Learning Automata for MAX-SAT
- 1 Introduction
- 2 The Algorithm
- 2.1 The Automata and Its Environment
- 2.2 WalkSAT Based Learning Automata (LA-WSAT)
- 3 Experimental Results
- 3.1 Test Suite and Parameter Settings
- 3.2 Results and Discussions
- 4 Conclusions
- References
- A Self-adaptive Artificial Bee Colony Algorithm with Incremental Population Size for Large Scale Optimization
- 1 Introduction
- 2 Artificial Bee Colony Algorithm
- 3 Self-adaptive Search Equation Based Artificial Bee Colony Algorithm
- 3.1 The Self-adaptive Search Equation Determination Strategy
- 3.2 The Incremental Population Size Strategy
- 4 Experiments and Results
- 4.1 Experimental Setup
- 4.2 Comparison of the SSEABC with the ABC Variants
- 4.3 Comparison of SSEABC with SOCO Competitors
- 5 Conclusion
- References
- Neural Networks, Self-organization, Machine Learning
- Lie Algebra-Valued Bidirectional Associative Memories
- 1 Introduction
- 2 Lie Algebra-Valued Bidirectional Associative Memories
- 3 Conclusions
- References
- Guaranteed Training Set for Associative Networks
- Abstract
- 1 Introduction
- 2 Associative Memory
- 3 The Training Set
- 3.1 Training Set Principles
- 3.2 Guaranteed Patterns
- 3.3 Processing of Real Patterns
- 4 Experimental Outcomes
- 5 Conclusions
- Acknowledgments
- References
- Markov Chain for Author Writing Style Profile Construction
- Abstract
- 1 Introduction
- 2 Description of the Approach Used
- 2.1 Specifics of Subject Domain
- 2.2 Profile Training
- 2.3 Profile Using
- 3 Profile Training Procedure
- 4 Profile Using Procedure
- 5 Algorithm for Calculating Similarity Level of Two Markov Chains
- 6 Experimental Software Created
- 7 Experiments and Results
- 7.1 Comparison of Classification Accuracy Depending on the Window Size Used
- 7.2 Impact of Different Profile Settings on the Final Quality of Classification
- 8 Conclusions
- References
- Predicting Dust Storm Occurrences with Local Linear Neuro Fuzzy Model: A Case Study in Ahvaz City, Iran
- Abstract
- 1 Introduction
- 2 Local Linear Neuro Fuzzy Model
- 2.1 Model Description
- 2.2 Accuracy Criteria
- 3 Case Study and Data
- 3.1 Case Study Region
- 3.2 Data
- 4 Result
- 4.1 First Case: Predicting Dust Storm Days
- 4.2 Second Case: Dividing Days into 15 Days Grouping
- 5 Conclusion
- References
- Maximum Traveling Salesman Problem by Adapted Neural Gas
- Abstract
- 1 Introduction
- 2 Neural Gas Approach Combined with SOM Features
- 3 Experimental Results
- 4 Conclusions
- References
- Conjugate Gradient Algorithms for Quaternion-Valued Neural Networks
- 1 Introduction
- 2 The HR Calculus
- 3 Conjugate Gradient Algorithms
- 4 Experimental Results
- 4.1 Linear Autoregressive Process with Circular Noise
- 4.2 3D Lorenz System
- 4.3 4D Saito Chaotic Circuit
- 5 Conclusions
- References
- Evaluating Suitable Job Applicants Using Expert System
- Abstract
- 1 Introduction
- 2 Problem Formulation
- 3 Problem Solution
- 3.1 Job Position Modelling
- 3.2 Evaluating Job Applicants Using Evaluation Number
- 3.3 Filling in a Questionnaire About Job Interview
- 3.4 Defining Expert System for Proposing Suitable Job Applicants
- 3.5 Proposal and Visualization of Suitable Applicants
- 3.6 Selection of the Most Suitable Applicant
- 4 Verification
- 4.1 Job Position Modelling
- 4.2 Evaluating Job Applicants Using Evaluation Number
- 4.3 Filling Questionnaire About Job Interview
- 4.4 Proposal and Visualization of Suitable Applicants
- 4.5 Selection of the Most Suitable Applicant
- 5 Conclusion
- Acknowledgment
- References
- A Computationally Efficient Approach for Mining Similar Temporal Patterns
- 1 Introduction
- 1.1 Basic Terminology
- 2 Related Works
- 3 Problem Definition
- 3.1 Design Expressions to Estimate Support Bounds
- 3.2 Proposed Similar Temporal Association Pattern Mining Algorithm
- 3.3 Computing Support Bounds
- 4 Case Study
- 5 Results and Discussions
- 6 Conclusions
- References
- Estimating Prevalence Bounds of Temporal Association Patterns to Discover Temporally Similar Patterns
- 1 Introduction
- 1.1 Basic Terminology
- 2 Related Works
- 2.1 Design Expressions to Estimate Support Bounds
- 2.2 Proposed Similar Temporal Association Pattern Mining Algorithm
- 2.3 Computing Support Bounds
- 3 Case Study
- 4 Experimental Results and Discussions
- 5 Conclusions
- References
- An Approach for Imputation of Medical Records Using Novel Similarity Measure
- 1 Introduction
- 2 Proposed Imputation Method
- 2.1 Research Objective
- 2.2 Problem Definition
- 2.3 Proposed Framework
- 3 Our Method
- 4 Case Study
- 5 Similarity Measure for Imputation
- 6 Results and Discussions
- 7 Conclusions
- References
- Intelligent Image Processing
- Implementation of Particle Filters for Mobile Robot Localization
- Abstract
- 1 Introduction
- 2 Visual Odometry
- 3 Localization Method
- 4 Practical Experiments
- 4.1 Simulation
- 4.2 Localization with Real Data in Online Mode
- 5 Conclusions
- Acknowledgement
- References
- Direct Point Cloud Visualization Using T-spline with Edge Detection
- 1 Introduction
- 1.1 Prior Work
- 2 NURBS, T-spline
- 2.1 T-mesh
- 2.2 T-spline Surface
- 3 Data Processing
- 3.1 T-mesh Topology
- 3.2 Edge Detection Algorithm
- 3.3 T-mesh Topology Correction
- 3.4 T-spline Visualization
- 4 Conclusion
- References
- Development of Methods of the Fractal Dimension Estimation for the Ecological Data Analysis
- Abstract
- 1 Introduction
- 2 Fractal Dimension
- 3 Motivation
- 4 Fractal Dimension of Time Series
- 5 Proposed Methods of Fractal Dimension Estimation
- 6 Moving Average (FDMAvg)
- 6.1 Description of Algorithm
- 6.2 Methodology of Use FDMAvg Algorithm
- 7 Moving Min&Max (FDMM)
- 7.1 Description of Algorithm
- 8 Local Regression (FDLR)
- 9 Preliminary Results
- 10 Conclusion
- Acknowledgements
- References
- The Detection and Interpretation of Emergent Situations in ECG Signals
- Abstract
- 1 Introduction
- 2 Some Related Works
- 3 Background for the Detection of Emergent Situations
- 4 Detection of Diseases of Cardio-Vascular System
- 5 Interpretation Space, Sign Model and Connections in the Interpretation Process
- 6 The Method of Interpretation
- 6.1 Description of the Method
- 7 Example of Interpretation of Novel Shape ECG Signal of Arrhythmia Diagnostics
- 7.1 Semantic Contents of ECG Signals from j+1SM
- 7.2 Application of the Interpretation Method
- 8 Conclusion
- Acknowledgements
- References
- Author Index
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