Recent Advances in Soft Computing

Name: Recent Advances in Soft Computing | Proceedings of the 22nd International Conference on Soft Computing (MENDEL 2016) held in Brno, Czech Republic, at June 8-10, 2016
Brand: Springer
Price: 149.79 EUR
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Proceedings of the 22nd International Conference on Soft Computing (MENDEL 2016) held in Brno, Czech Republic, at June 8-10, 2016

Radek Matousek(Editor)

Springer (Publisher)

Published on 20. May 2017

XI, 278 pages

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978-3-319-58088-3 (ISBN)

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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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