Nature-Inspired Computing for Smart Application Design

Preface
List of Reviewers
Contents
Editors and Contributors
Smart Design and Its Applications: Challenges and Techniques
	1 Introduction
	2 Some Applications for Smart Design
		2.1 City and Environment
		2.2 Intelligent Networking
		2.3 Security and Management
	3 Some Techniques for Smart Design
	4 Conclusions
	References
City and Environment
Automatic Generation Control Scheme for Power Quality Improvement of Multi-source Power Generating System with Secondary Controller Optimization Using Parameter-Setting-Free Harmony Search
	1 Introduction
	2 Single-Area Multi-source Power System Modeling
	3 Controller Design
	4 Proposed Parameter-Setting-Free Harmony Search Algorithm-Tuned PID Controller
	5 Simulation Results and Discussions
	6 Conclusion
	References
Environmental Sound Classification Using Neural Network and Deep Learning
	1 Introduction
		1.1 Scope
	2 Related Work
	3 Problem Formulation
		3.1 Segmenting an Audio Signal Into Windows
	4 Feature Extraction
		4.1 Features Used for Training the Neural Network
	5 Designing the Cost Function for Bayesian Regularised Neural Network
		5.1 Over-Fitting and Regularization of Neural Networks
		5.2 Bayesian Regularization
	6 Bayesian Regularised Neural Networks for Urban Sound Noise Classification: A Deep Learning Approach
		6.1 Deep Neural Network Design
		6.2 Novel Design: Two Input-Output Neural Network Model
		6.3 Classification of Multiple Sound Source
		6.4 Novel Approach: Multi-label Classification Using Bayesian Regularized Fitnet Model and Deep Lerning Approach
	7 Conclusion and Future Work
	8 Problems
		8.1 Feature Extraction
		8.2 Designing of Optimal Neural Network
		8.3 Single Label Detection
		8.4 Multi Label Detection
	References
Feature Selection Method Using CFO and Rough Sets for Medical Dataset
	1 Introduction
	2 Preliminaries
		2.1 Central Force Optimization
		2.2 Rough Set Theory
	3 Proposed Algorithm
		3.1 Preprocessing of Gene Expression Data
		3.2 Fitness Function
	4 Experimental Result
		4.1 Parameter Setting and Datasets
		4.2 Results and Discussion
	5 Conclusion
	References
Fuzzy-Based Optimal Solution for Minimization of Loss of Company Based on Uncertain Environment
	1 Introduction
	2 Related Works
	3 Proposed Method
	4 Simulation and Analysis
	5 Conclusions
	References
Intelligent Networking
Impacts of Computational Techniques for Wireless Sensor Networks
	1 Introduction
		1.1 WSN: Basic Introduction
		1.2 WSN: Basic Application Area
	2 Need of Optimization
	3 Description of Applied Algorithm
		3.1 Dragonfly Algorithm
		3.2 Quasi-opposition Atom Search Optimization (QOASO) Algorithm
		3.3 Pathfinder Algorithm (PA)
		3.4 Salp Swarm Algorithm
	4 Optimization Techniques Applied in WSN
		4.1 Modeling of Consumption of Energy
		4.2 Path Loss Model
		4.3 System Lifetime Model
		4.4 Coverage Model
		4.5 Multi-objective Optimization Problem
	5 Performance Evaluation
	6 Conclusion
	References
Efficient Node Deployment Based on Immune-Inspired Computing Algorithm for Wireless Sensor Networks
	1 Introduction
	2 Multi-objective Immune Algorithm
	3 Optimal Deployment
		3.1 Adjacent Distance
		3.2 Number of Sensor Nodes
	4 First Algorithm: Immune-Based Node Deployment Algorithm
		4.1 Problem Formulation
		4.2 Immune-Based Node Deployment Algorithm
	5 Second Algorithm: Centralized Voronoi-Based Immune Deployment Algorithm
		5.1 Problem Formulation
		5.2 Centralized Voronoi-Based Immune Deployment Algorithm
	6 Experimental Results
		6.1 Binary Model-Based Simulations
		6.2 Probabilistic Model-Based Experiment
	7 Conclusion
	References
An Efficient Routing in Wireless Sensor Network: An Application of Grey Wolf Optimization
	1 Introduction
		1.1 Motivation for the Study
		1.2 Contribution of This Study
	2 Literature Review
		2.1 Application of Evolutionary Algorithms & Swarm Intelligence
		2.2 Grey Wolf Optimizer—Swarm Intelligence Technique with Hierarchy
	3 Research Problem
		3.1 Problem Statement
		3.2 Model Formulation
	4 Results
		4.1 Experimental Design
		4.2 Computational Results:
	5 Solution Approach
		5.1 Grey Wolf Optimization
		5.2 Aspects of Grey Wolf Optimization
		5.3 Modified Grey Wolf Optimization
		5.4 Results Obtained
	6 Conclusion
	References
Coverage Optimization using Nature-Inspired Algorithm for Directional Sensor Networks
	1 Introduction
	2 Directional Sensor Network
		2.1 Directional Detecting Model
		2.2 Coverage Rate for Sensing Adjustment
	3 Coverage Issues in DSN
		3.1 Area Coverage
		3.2 Target Coverage
		3.3 Barrier Coverage
	4 Coverage Optimization
		4.1 Particle Swarm Optimization (PSO) Algorithm for Area Coverage Issue
		4.2 Memetic Algorithm for Target Coverage Issue
	5 Conclusion
	References
Security and Management
Flower Pollination Optimization-Based Security Enhancement Technique for Wireless Sensor Network
	1 Introduction
	2 Related Work
	3 Cryptography in WSNs
	4 Selection of Algorithms
	5 Key Management Schemes
	6 Node Deployment in WSN
	7 Flower Pollination Algorithm
	8 Result Analysis
	9 Conclusion
	References
Fuzzy Quadratic Programming Based Conflicting Strategy Management Technique for Company
	1 Introduction
	2 Literature Review
	3 Proposed Method
	4 Simulation and Analysis
	5 Conclusions
	References
A Novel Multilevel Classifier Hybrid Model for Intrusion Detection Using Machine Learning
	1 Introduction
	2 Related Work
	3 Theoretic Aspects of Techniques
		3.1 Particle Swarm Optimization Techniques
		3.2 Instance-Based Learning on K (IBK)
		3.3 Random Tree
		3.4 KDD Cup’99 Dataset
	4 Proposed Single-Level Hybrid Intrusion Detection Model
		4.1 A Multilevel Hybrid Classifier IDS Model
	5 Experimental Results and Discussion
	6 Conclusions
	References
Maintaining Manpower in Technical College Using Fusion of Quadratic Programming and Fuzzy Logic
	1 Introduction
	2 Literature Review
	3 Preliminaries
		3.1 Quadratic Programming
		3.2 Fuzzy Logic
	4 Proposed Method
		4.1 Preliminary Assumption
		4.2 Mathematical Modelling
	5 Simulation and Analysis
	6 Conclusions
	References