Soft Computing for Problem Solving 2019: Proceedings of SocProS 2019, Volume 1 (Advances in Intelligent Systems and Computing, 1138)

Preface
Contents
About the Editors
Self-taught Learning: Image Classification Using Stacked Autoencoders
	1 Introduction
	2 Mathematical Background
		2.1 An Overview of Self-taught Learning
		2.2 Unsupervised Feature Learning Using Stacked Autoencoders
		2.3 Feature Extraction from Labeled Data
		2.4 Support Vector Machines
		2.5 Supervised Classification Using SVM
		2.6 Convolutional Autoencoders
	3 Experiments
		3.1 Experimental Setup
		3.2 Dataset Description
		3.3 Neural Network Configuration for Autoencoder
		3.4 Using Conventional SVM as a Baseline Model
		3.5 Convolutional Autoencoder Configuration
	4 Results and Discussion
	5 Conclusion
	6 Future Scope
	References
Performance Analysis of Whale Optimization Algorithm Based on Strategy Parameter
	1 Introduction
	2 Whale Optimization Algorithm
	3 Proposed Algorithm
	4 Results and Discussion
	5 Conclusions
	References
An Immuno-inspired Distributed Artificial Classification System
	1 Introduction
	2 Classification in Distributed Scenarios
	3 Immuno-inspired Distributed Artificial  Classification System
		3.1 Terminologies
		3.2 Immune Metaphors and Meta-Dynamics
		3.3 General Overview of iDACS
		3.4 Algorithm
	4 Experiments and Results
		4.1 Experimental Design
		4.2 Results and Analyses
	5 Conclusions
	References
Comparison of PSO and Sequential Search Algorithms for Improvisation of Entropy-Based Ear Localization
	1 Introduction
	2 Methodology
		2.1 Edge Detection
		2.2 Entropy Map
		2.3 Optimization Algorithms
	3 Experimental Results and Discussion
		3.1 Entropy Map
		3.2 Optimization Results
	4 Conclusion
	References
An Upgraded Differential Evolution via Memory-Based Mechanism for Economic Dispatch
	1 Introduction
	2 Outline of Classical DE
	3 Proposed Technology
	4 Validation, Result and Discussion
		4.1 Numerical Analysis
		4.2 Graphical Analysis
	5 Conclusion and Future Strategy
	References
Some Applications of Generalized Fuzzy γ*-Closed Sets
	1 Introduction and Preliminaries
	2 Generalized Fuzzy γ*-Closed Sets
	3 Conclusion
	References
Multi-Headed Self-Attention-based Hierarchical Model for Extractive Summarization
	1 Introduction
	2 Model Architecture
		2.1 GRU
		2.2 Multi-headed Self-attention
		2.3 Putting it all Together
	3 Related Work
	4 Experiments and Results
		4.1 Dataset
		4.2 Evaluation
		4.3 Model Settings
		4.4 Results
	5 Conclusion and Future Work
	References
Support Vector Regression for Multi-objective Parameter Estimation of Interval Type-2 Fuzzy Systems
	1 Introduction
	2 General Structure of Interval Type-2 Fuzzy Logic System
	3 Support Vector Regression Model
	4 Proposed Multi-objective Support Vector Regression-Based Parameter Estimation Method
	5 Simulation Results
	6 Conclusions and Future Works
		6.1 Conclusions
		6.2 Future Work
	References
Aggregation of Pixel-Wise U-Net Deep Neural Networks for Road Pavement Defects Detection
	1 Introduction
	2 Related Work
	3 U-Net Deep Neural Network
	4 Neural Networks Aggregation Schemes
	5 Data Preparation
	6 Experiments and Evaluation
	7 Results
	8 Conclusion
	References
Advanced Metaheuristics for Bicriteria No-Wait Flow Shop Scheduling Problem
	1 Introduction
	2 Problem Formulation
	3 Dominance Relation
	4 Proposed Advanced Iterated Greedy Algorithm
		4.1 Initial Solution
		4.2 Construction and Destruction Phase
		4.3 Local Search
		4.4 Acceptance Criteria
		4.5 Complete Procedure of Advanced HIG Algorithm
	5 Computation Evaluation
	6 Conclusion
	References
Electrophysiological Studies on Acetylcholine–Dopamine Interaction and Effect of Dopamine on Learning
	1 Introduction
	2 Related Work
	3 Mathematical Framework
	4 Simulation Method
	5 Results
		5.1 Acetylcholine–Dopamine Interaction
		5.2 Effect of Dopamine on Learning
	6 Discussions
	7 Conclusion and Future Work
	References
Reinforcement Learning for Multiple HAPS/UAV Coordination: Impact  of Exploration–Exploitation Dilemma  on Convergence
	1 Introduction
	2 Reinforcement Learning Technique in Unmanned Aerial Systems
		2.1 Q-Learning Approach
	3 Modelling and Simulation Background
	4 Analysing RL Hyper-Parameters
		4.1 Epsilon-Greedy (ε) Parameter
	5 Results and Analysis
	6 Conclusions and Future Work
	References
Artificial Electric Field Algorithm for Solving Real Parameter CEC 2017 Benchmark Problems
	1 Introduction
	2 AEFA: Artificial Electric Field Algorithm
	3 Experimental Analysis and Results
		3.1 Evaluation of AEFA Over CEC 2017 Numerical Optimization Problems
		3.2 Statistical Test
		3.3 Convergence of AEFA
	4 Conclusion
	References
Flow Shop Scheduling Problem of Minimizing Makespan with Bounded Processing Parameters
	1 Introduction
	2 Problem Description
		2.1 Notations
		2.2 Mathematical Equations and Constitutive Relations
		2.3 Optimal Solution for Stochastic Flow Shop Scheduling Problem
	3 Dominance Relation
	4 Numerical Illustration
	5 Conclusion
	References
Finger-Induced Motor Imagery Classification from Hemodynamic Response Using Type-2 Fuzzy Sets
	1 Introduction
	2 Principles and Methodologies
	3 Classifier Design
	4 Experiments and Results
		4.1 fNIRS Data Acquisition and Experimental Framework
		4.2 Stimuli Presentation for Online Classification
		4.3 Experiment 1: Extraction of Hemodynamic Features to Discriminate Individual Fingers
		4.4 Experiment 2: Selection of the Discriminating Hemodynamic Features Using DE
		4.5 Experiment 3: Topographic Map Analysis for Individual Fingers
	5 Classifier Performance and Statistical Validation
		5.1 Relative Performance Analysis of the Proposed Classifier
		5.2 Statistical Validation
		5.3 Performance Analysis with the Previous Work
	6 Conclusion
	References
Bit-Plane Specific Randomness Testing for Statistical Analysis of Ciphers
	1 Introduction
	2 Preliminaries
		2.1 Bit-Plane
		2.2 Bit-Plane Measures
		2.3 Chi-Square Goodness of Fit
		2.4 p-value
	3 Bit-Plane Specific Randomness Tests
		3.1 Bit-Plane Frequency Test
		3.2 Bit-Plane Entropy Test
		3.3 Bit-Plane Correlation Test
	4 Experimental SetUp and Results
		4.1 Experimental SetUp
		4.2 Results and Observations
	5 Conclusion
	References
Analysis of Rotation-Based Diffusion Functions
	1 Introduction
	2 Mathematical Model of Rotation-Based Diffusion Functions
	3 Analysis of Rotation-Based Diffusion Functions
	4 Experimental Results
	5 Case Studies
		5.1 Diffusion Functions Used in Salsa20
		5.2 Diffusion Functions Used in FeW
		5.3 Diffusion Functions Used in HC-128
	6 Conclusions and Future Work
	References
Detection of Abnormalities in Blood Sample Using WBC Differential Count
	1 Introduction
		1.1 Blood Cells
		1.2 Types of White Blood Cells
	2 Related Work Survey
	3 Proposed Design Frameworks
		3.1 Image Enhancement
		3.2 Image Segmentation
		3.3 Feature Extraction
		3.4 Classification Using Artificial Neural Network
	4 Experimental Outcomes and Analysis
		4.1 Dataset and Experimental Platform
		4.2 Image Processing and Feature Extraction Results
		4.3 Application on Blood Sample and Analysis
	5 Conclusion
	References
A Novel U-Shaped Transfer Function for Binary Particle Swarm Optimisation
	1 Introduction
	2 Related Work
	3 Proposed U-Shaped Transfer Functions
	4 Evaluation
		4.1 Evaluation on the Benchmark Functions
		4.2 Evaluation on the Knapsack Problems
	5 Conclusion
	References
Flat Splicing-Based Generative Model for Hexagonal Picture Array Languages
	1 Introduction
	2 Preliminaries
	3 Flat Splicing Pure Hexagonal Array Grammar System
	4 Comparison Results
	5 Conclusion
	References
EEG-Induced Error Correction in Path Planning by a Mobile Robot Using Learning Automata
	1 Introduction
	2 Principles and Methodology
	3 EEG Signal Processing for ErrP Detection
		3.1 Preprocessing
		3.2 Feature Extraction
		3.3 Classification
	4 Experiments and Performance Analysis
		4.1 Experimental Setup
		4.2 Parameter Selection of the KSVM Classifiers
		4.3 Performance Analysis of the KSVM Classifier
		4.4 Convergence of Individual LA Values Over Iterations
		4.5 Choice of Δp
	5 Conclusions
	References
Brain Connectivity Analysis in Color Perception Problem Using Convergent Cross Mapping Technique
	1 Introduction
	2 Principles and Methodology
		2.1 Convergent Cross Mapping
		2.2 Classification of the Human Perceived Color Stimuli Using Directed Weight Connectivity Matrices as Features
	3 Experiments and Results
		3.1 Experimental Framework
		3.2 Preparing the Data Set for Color Perception
		3.3 Active Brain Region Selection Using E-LORETA
		3.4 Data Pre-processing and Artifact Removal
		3.5 Effective Connectivity Estimation by CCM Algorithm
	4 Performance Analysis
		4.1 Classifier Performance Analysis
		4.2 Statistical Validation Using McNemar\'s Test
	5 Conclusion
	References
Distinct Prime Distance Labeling of Certain Graphs
	1 Introduction
	2 Distinct Prime Distance Labeling
	3 Conclusion
	References
Interval Variational Inequalities
	1 Introduction
	2 Premilinaries and Terminologies
	3 Stampacchia and Minty Interval Variational Inequalities
	4 Relationship Between Interval Variational Inequalities and Interval Optimization
	5 Future Plan
	References
EEG-Based Epileptic Seizure Detection Using Least Square SVM with Spectral and Multiscale Key Point Energy Features
	1 Introduction
	2 Proposed Approach
		2.1 Dual Tree Complex Wavelet Transform
		2.2 Spectral Features
		2.3 Multiscale Key Point Detection
		2.4 Least Square Support Vector Machine Classifier
		2.5 K-Fold Cross-Validation
	3 Results and Discussion
		3.1 Experimental Database
		3.2 Multiscale Key Point Feature Variation
		3.3 ANOVA Test Results
		3.4 Performance of Classifier Using Individual Features
		3.5 Performance of Classifier Using Selected Features
		3.6 Comparison with State-of-the-Art Method
	4 Conclusion and Future Scope
	References
Maiden Application of Hybrid Crow Search Algorithm with Pattern Search Algorithm in LFC Studies of a Multi-area System Using Cascade FOPI-PDN Controller
	1 Introduction
	2 Power System Investigated
	3 Proposed Cascade FOPI-PDN Controller
	4 Hybrid Crow Search Algorithm with Pattern Search (HCA-PS) Technique
		4.1 Crow Search Algorithm (CA)
		4.2 Pattern Search Algorithm (PS)
		4.3 Hybrid Crow Search Algorithm with Pattern Search (HCA-PS) Technique
	5 Results and Analysis
		5.1 Hybrid Crow Search Algorithm with Pattern Search (HCA-PS) Technique
		5.2 Sensitivity Analysis to See the Robustness of Controller Parameters Obtained at Nominal Condition
		5.3 Dynamic Comparisons with Various Algorithms and Convergence Characteristics
	6 Conclusions
	Appendix
	References
Author Index