Call for Chapters: Nature-Inspired Optimization Algorithms for Cyber-Physical Systems

Editors

Mohammad Sajid, Aligarh Muslim University, India
Mohammad Shahid, Aligarh Muslim University, India
Maria Lapina, North-Caucasus Federal University, Stavropol, Russian Federation
Mikhail Babenko, North-Caucasus Federal University, Stavropol, Russian Federation

Call for Chapters

Proposals Submission Deadline: June 12, 2024
Full Chapters Due: August 4, 2024
Submission Date: August 4, 2024

Introduction

The cyber–physical system (CPS) combines computation, communication, control, and physical components to achieve common goals with minimal human intervention. CPS components can operate on various temporal and spatial scales, having different independent decision-making behavioral modalities and cooperating synchronously to reach a common goal. CPS includes "Smart" Anything, i.e. Smart Cities, Industrial IoT, Cloud Computing, Transportation Systems, Cars, Manufacturing, Hospitals, Homes, Supply-Chain Management, Appliances, Smart Grid, etc. The CPS components are expected to grow exponentially and will generate zettabytes of data in the near future due to indispensable advancements in artificial intelligence (AI), machine learning (ML), and optimization fields. CPSs face various challenging issues and challenges, including, Resource Provisioning, Trust Management Systems, Data Security & Privacy, Computation Offloading to Cloud Computing, Secure Communication, Swarm Robotics, and Automation, Medical Image Analysis, Object detection, Remote Sensing Image Segmentation, Unmanned Aerial Vehicle (UAV) Path Planning, Water Distribution Networks, Network Intrusion Detection, Text Clustering, Wind Turbine Placement Problem, Optimal Feature Selection in High-Dimensional Datasets, Genome Sequence Assembly, Designing Optimal Neural Networks, and many others. These problems demand intelligent techniques that are different from the traditional algorithms and capable of automatically handling CPS's current and upcoming challenges. Nature-inspired optimization algorithms are a class of metaheuristic algorithms for optimization that can solve complex real-world problems that are not efficiently solvable by traditional methods or whose models are too complex for mathematical reasoning. Nature-inspired optimization algorithms are inspired by natural phenomena and are scalable, adaptable, and sustainable. Nature-inspired algorithms can successfully solve many complex real-world problems of Optimization, AI and Machine Learning in acceptable computational time. Hence, Nature-inspired Optimization algorithms with their variants can handle the complex issues of CPS and act accordingly to create better values in our daily lives.

Objective

This book will aim to provide relevant theoretical frameworks and the latest empirical research findings in the area. It will be written for professionals who want to improve their understanding of the Nature-Inspired Optimization Algorithms and cyber-physical systems. This book will explore the nature-inspired optimization algorithms intended to boost the performance of cyber-physical systems. It discusses and presents the critical challenges, opportunities, applications, and advancement of Nature-Inspired Optimization Algorithms for the complex problems of cyber-physical systems.

Target Audience

This book interests the teaching staff, research scholars, and graduate students of leading higher educational institutions in computer science, AI & Machine Learning, nature-inspired optimization algorithms, and Cyber-Physical systems. The book will also be helpful to IT professionals, data scientists, and AI researchers.

Recommended Topics

• Nature-Inspired Optimization Algorithms and Variants

• Multi-objective and Dynamic Optimization

• Intelligent Transportation System

• Unmanned Aerial Vehicle Path Planning

• Water Distribution Network

• Optimal Design of Sewer Collection System

• Sensors Deployment in Water Distribution System

• Swarm Robotics and Automation

• Cloud Computing and Internet-of-Things

• Trust Management System in Internet of Everything

• Network Intrusion Detection

• Route Optimization in MANET

• Resource Provisioning in Cloud Computing

• Designing Optimal Neural Networks

• Feature Selection in High-Dimensional Datasets

• Genome Sequence Assembly

• Text Clustering

• Data Science and Machine Learning

• Combinatorial Optimization Problems

• Medical Image Analysis

• Remote Sensing Image Segmentation

• Grayscale Image Thresholding

• Fake News Detection

• Disease Detection

• Sleep Stage Classification

• Healthcare Staff Scheduling



Submission Procedure

Researchers and practitioners are invited to submit on or before June 12, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by June 20, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by August 4, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Nature-Inspired Optimization Algorithms for Cyber-Physical Systems. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

June 12, 2024: Proposal Submission Deadline
June 20, 2024: Notification of Acceptance
August 4, 2024: Full Chapter Submission
September 15, 2024: Review Results Returned
October 13, 2024: Final Acceptance Notification
October 20, 2024: Final Chapter Submission



Inquiries

Dr. Mohammad Sajid
Aligarh Muslim University
sajid.cst@gmail.com

Dr. Mohammad Shahid
Aligarh Muslim University
mdshahid.cs@gmail.com

Prof. Maria Lapina
North-Caucasus Federal University, Stavropol
mlapina@ncfu.ru

Prof. Mikhail Babenko
North-Caucasus Federal University, Stavropol
khailmi@gmail.com



Classifications


Computer Science and Information Technology; Education; Environmental, Agricultural, and Physical Sciences; Medical, Healthcare, and Life Sciences; Security and Forensics; Science and Engineering
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