This book focuses primarily on the nature-inspired approach for designing smart applications. It includes several implementation paradigms such as design and path planning of wireless network, security mechanism and implementation for dynamic as well as static nodes, learning method of cloud computing, data exploration and management, data analysis and optimization, decision taking in conflicting environment, etc. The book fundamentally highlights the recent research advancements in the field of engineering and science.

Focuses on the nature-inspired approach for designing smart applications

Chapter 1. Smart Design and its Applications: Challenges and Techniques.- Part 1: City and Environment.- Chapter 2. Automatic Generation Control Scheme for Power Quality Improvement of Multi Source Power Generating System with Secondary Controller Optimization using Parameter-Setting-Free Harmony Search.- Chapter 3. Environmental Sound Classification using Neural Network and Deep Learning.- Chapter 4. Feature Selection Method using CFO and Rough Sets for Medical Dataset.- Chapter 5. Fuzzy Based Optimal Solution for Minimization of Loss of Company Based on Uncertain Environment.- Part 2: Intelligent Networking.- Chapter 6. Impacts of Computational techniques for Wireless Sensor Networks.- Chapter 7. Efficient-Node Deployment based on Multi-Objective Immune Algorithm for Wireless Sensor Networks.- Chapter 8. An Efficient Routing in Wireless Sensor Network: An Application of GreyWolf Optimization.- Chapter 9. Coverage Optimization using Nature-Inspired Algorithm for Directional Sensor Networks.- Part 3:Security and Management.- Chapter 10. Flower Pollination Optimization Based Security Enhancement Technique for Wireless Sensor Network.- Chapter 11. Fuzzy Quadratic Programming Based Conflicting Strategy Management Technique for Company.- Chapetr 12. A Novel Multilevel Classifier Hybrid Model for Intrusion Detection using Machine Learning.- Chapter 13. Maintaining Manpower in Technical College using Fusion of Quadratic Programming and Fuzzy Logic.