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Swarm Intelligence Optimization [electronic resource] : Algorithms and Applications.

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Bibliographic Details
Online Access: Full Text (via ProQuest)
Main Author: Kumar, Abhishek
Other Authors: Rathore, Pramod Singh, Diaz, Vicente Garcia, Agrawal, Rashmi
Format: Electronic eBook
Language:English
Published: Newark : John Wiley & Sons, Incorporated, 2021.
Table of Contents:
  • Intro
  • Table of Contents
  • Title page
  • Copyright
  • Preface
  • 1 A Fundamental Overview of Different Algorithms and Performance Optimization for Swarm Intelligence
  • 1.1 Introduction
  • 1.2 Methodology of SI Framework
  • 1.3 Composing With SI
  • 1.4 Algorithms of the SI
  • 1.5 Conclusion
  • References
  • 2 Introduction to IoT With Swarm Intelligence
  • 2.1 Introduction
  • 2.2 Programming
  • 2.3 Data Generation
  • 2.4 Automation
  • 2.5 Security of the Generated Data
  • 2.6 Swarm Intelligence
  • 2.7 Scope in Educational and Professional Sector
  • 2.8 Conclusion
  • References.
  • 3 Perspectives and Foundations of Swarm Intelligence and its Application
  • 3.1 Introduction
  • 3.2 Behavioral Phenomena of Living Beings and Inspired Algorithms
  • 3.3 Roach Infestation Optimization
  • 3.4 Conclusion
  • References
  • 4 Implication of IoT Components and Energy Management Monitoring
  • 4.1 Introduction
  • 4.2 IoT Components
  • 4.3 IoT Energy Management
  • 4.4 Implication of Energy Measurement for Monitoring
  • 4.5 Execution of Industrial Energy Monitoring
  • 4.6 Information Collection
  • 4.7 Vitality Profiles Analysis
  • 4.8 IoT-Based Smart Energy Management System.
  • 4.9 Smart Energy Management System
  • 4.10 IoT-Based System for Intelligent Energy Management in Buildings
  • 4.11 Smart Home for Energy Management Using IoT
  • References
  • 5 Distinct Algorithms for Swarm Intelligence in IoT
  • 5.1 Introduction
  • 5.2 Swarm Bird-Based Algorithms for IoT
  • 5.3 Swarm Insect-Based Algorithm for IoT
  • References
  • 6 Swarm Intelligence for Data Management and Mining Technologies to Manage and Analyze Data in IoT
  • 6.1 Introduction
  • 6.2 Content Management System
  • 6.3 Data Management and Mining
  • 6.4 Introduction to Internet of Things.
  • 6.5 Swarm Intelligence Techniques
  • 6.6 Chapter Summary
  • References
  • 7 Healthcare Data Analytics Using Swarm Intelligence
  • 7.1 Introduction
  • 7.2 Intelligent Agent
  • 7.3 Background and Usage of AI Over Healthcare Domain
  • 7.4 Application of AI Techniques in Healthcare
  • 7.5 Benefits of Artificial Intelligence
  • 7.6 Swarm Intelligence Model
  • 7.7 Swarm Intelligence Capabilities
  • 7.8 How the Swarm AI Technology Works
  • 7.9 Swarm Algorithm
  • 7.10 Ant Colony Optimization Algorithm
  • 7.11 Particle Swarm Optimization
  • 7.12 Concepts for Swarm Intelligence Algorithms.
  • 7.13 How Swarm AI is Useful in Healthcare
  • 7.14 Benefits of Swarm AI
  • 7.15 Impact of Swarm-Based Medicine
  • 7.16 SI Limitations
  • 7.17 Future of Swarm AI
  • 7.18 Issues and Challenges
  • 7.19 Conclusion
  • References
  • 8 Swarm Intelligence for Group Objects in Wireless Sensor Networks
  • 8.1 Introduction
  • 8.2 Algorithm
  • 8.3 Mechanism and Rationale of the Work
  • 8.4 Network Energy Model
  • 8.5 PSO Grouping Issue
  • 8.6 Proposed Method
  • 8.7 Bunch Hub Refreshing Calculation Dependent on an Improved PSO
  • 8.8 Other SI Models
  • 8.9 An Automatic Clustering Algorithm Based on PSO.

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