Call for Chapters: Optimization Tools and Techniques for Enhanced Computational Efficiency

Editors

Hari Rai, Gachon University, South Korea, Korea, Republic Of
Abdul Razaque, Satbayev University, Kazakhstan, Kazakhstan

Call for Chapters

Proposals Submission Deadline: June 2, 2024
Full Chapters Due: August 25, 2024
Submission Date: August 25, 2024

Introduction

Optimization techniques have emerged as a cornerstone of contemporary research and development, exerting a profound influence across a broad spectrum of engineering and technology domains. These methods represent the culmination of cutting-edge ideas and groundbreaking innovations, harnessing the computational prowess of modern computing systems to tackle intricate and multifaceted challenges. The field of optimization has rapidly evolved into a dynamic and multidisciplinary arena of exploration, drawing insights and expertise from diverse technical disciplines to drive innovation and efficiency. At its core, optimization serves as a critical bridge between the realms of industry and academia. Its primary objective is to enhance processes, minimize resource consumption, and accelerate the introduction of new products and technologies to the market. By employing sophisticated computational algorithms and mathematical modeling, optimization techniques enable researchers and engineers to fine-tune parameters and variables to achieve optimal outcomes. This systematic approach has the potential to revolutionize industries by unlocking novel solutions to complex problems and driving operational excellence. The realm of optimization encompasses a wide array of methodologies, including but not limited to linear programming, nonlinear optimization, integer programming, dynamic programming, genetic algorithms, simulated annealing, and particle swarm optimization. These techniques leverage mathematical principles and computational simulations to explore vast solution spaces, enabling the identification of optimal configurations and strategies.

Objective

The primary objective of this publication is to offer a nuanced understanding of optimization tools and techniques, their current trends, and their wide-ranging applications in engineering and technology. By examining the theoretical underpinnings, methodological advancements, and practical implementations of optimization methodologies, this publication seeks to provide readers with actionable insights and innovative approaches to problem-solving. Furthermore, it aims to foster interdisciplinary collaboration, knowledge exchange, and the development of novel solutions to complex challenges by engaging researchers, practitioners, educators, and students across various domains. Through a detailed exploration of optimization methodologies and their real-world impact, this publication endeavors to contribute to the advancement of knowledge, stimulate further research, and inspire transformative innovations in engineering and technology.

Target Audience

This book chapter proposal is aimed at professionals, researchers, and academics across various fields of study, including Computer Science and Information Technology, Education, Environmental, Agricultural, and Physical Sciences, Medical, Healthcare, and Life Sciences, Security and Forensics, as well as Science and Engineering. Specifically, individuals interested in optimization techniques and their applications within these domains will find valuable insights and practical implementations discussed in this publication. Graduate students, educators, and industry practitioners seeking to deepen their understanding of optimization methodologies and their real-world impact will also benefit from the content provided in this book chapter proposal.

Recommended Topics

Machine Learning-based Optimization Techniques Deep Learning algorithms for Optimization Supervised Learning-based Optimization Techniques Unsupervised Learning-based Optimization Techniques Reinforcement Learning-based Optimization Techniques Artificial Intelligence-Based Optimization Optimization in IoT (Internet of Things) Optimization in Cloud Computing Evolutionary Algorithms for Optimization Swarm Intelligence-Based Optimization Hybrid Optimization Methods Metaheuristic Optimization Techniques Quantum Computing for Optimization Applications of Optimization in Engineering Optimization in Healthcare and Biomedical Engineering Optimization in Finance and Economics Optimization in Supply Chain Management Multi-Objective Optimization Methods Real-World Applications and Case Studies of Optimization Techniques Emerging Trends and Future Directions in Optimization Research Optimization in Network Communications Optimization in Electrical and Electronics Engineering Optimization in Mechanical Engineering Optimization in Business Management Optimization in Manufacturing Processes

Submission Procedure

Researchers and practitioners are invited to submit on or before June 2, 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 16, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by August 25, 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, Optimization Tools and Techniques for Enhanced Computational Efficiency. 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 2, 2024: Proposal Submission Deadline
June 16, 2024: Notification of Acceptance
August 25, 2024: Full Chapter Submission
October 6, 2024: Review Results Returned
November 3, 2024: Final Acceptance Notification
November 10, 2024: Final Chapter Submission



Inquiries

Hari Mohan Rai
Gachon University, South Korea
drhmrai@gachon.ac.kr

Abdul Razaque
Satbayev University, Kazakhstan
r.abdul@satbayev.university



Classifications


Business and Management; Computer Science and Information Technology; Education; Environmental, Agricultural, and Physical Sciences; Medical, Healthcare, and Life Sciences; Media and Communications; Security and Forensics; Social Sciences and Humanities; Science and Engineering
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