Call for Full Chapters: Sustainable Meta-heuristics Optimization: Innovation in Business and Technology

Full Chapter Submission Deadline: 15th November, 2020

Introduction
Meta-heuristics are technique that is transforming the world of operational research, analytics and data science. Novel Optimization of this new methodology is still unclear, however, and there is a need for research on the various tools and applications and techniques of optimization in the field of business and industry.

Objective of the Book
Meta-heuristics Optimization: Innovation in Business & Technology provides details on cutting hedge methodologies utilized in business and industrial sectors. It gives a holistic background on innovative optimization applications, focusing on main technology sectors such as 5G networks, Industry 4.0, automation and robotics. It discusses topics such as hyper-heuristics algorithmic enhancements and performance measurement approaches, and provides insights into the implementation of meta-heuristic strategies to multi-objectives optimization real-life problems in business, economics and finance. With this book, readers can learn to solve real-world sustainable optimization problems effectively using the appropriate techniques from emerging fields including artificial intelligence, hybrid evolutionary and swarm intelligence, hyper-heuristics programming, and classical mathematical and many-objectives optimization. This innovative book will provide extensive huge benefits to new and young research scholars from all over the world.

Meta-heuristics Techniques and Optimization Strategies in business and industry world will highlight topics including big data analytics, 5G technology, and industry 4.0. This book is ideally designed for managers, IT experts, data scientists, practitioner, researchers, academicians, natural scientist, applied mathematicians, statisticians, and post graduates seeking current research on sustainable optimization methods and their application in the business and industry sectors.

Target Audience
This book will be very useful for managers, executives and post graduates students at the universities as well as college students. It can be served as a valuable library reference as well as the general interested public.

Recommended topics include, but are not limited to, the following:
– Meta-heuristics Algorithms
– Deep Learning
– Hybrid Systems
– Artificial Neural Networks
– 5G Networks
– Industry 4.0
– Financial Engineering
– Big-Data Optimization
– Differential Evolution
– Evolutionary Algorithms
– Fuzzy Logic
– Swarm Intelligence
– Human-Computer Interaction
– Operational Research
– Automation and Robotics
– Drone Technology
– Artificial Intelligence
– Quantum Computing
– Covic-2019
– Data Technology
– Agro-Engineering
– Real-world applications in business and industry

Submission Procedure
Researchers and practitioners are invited to submit the full chapter on or before 15th November 2020. Authors will be notified by 15th December 2020 about the status of their full chapters. All submitted chapters will be reviewed on a double-blind 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, Sustainable Meta-heuristics Optimization: Innovation in Business and Technology. All manuscripts are accepted based on a double-blind peer review editorial process.

Publisher
This book is scheduled to be published by Emerald Publishing Limited.
https://www.emeraldgrouppublishing.com/products/books/index.htm

Important Dates
15th November, 2020: Full Chapter Submission
15th December, 2020: Review Results Returned
30th December, 2020: Final Acceptance Notification
24th January, 2021: Final Chapter Submission

Inquiries can be forwarded to:
Dr. J. Joshua Thomas, UOW Malaysia, KDU Penang University College
joshua.j.thomas@gmail.com

Prof. Dr. Gerhard-Wilhelm Weber, Poznan University of Technology, Poland, and METU, Angkara
gerhard-wilhelm.weber@put.poznan.pl

Prof. Dr. Ugo Fiore, Parthenope University, Italy
ufiore@unina.it

Dr. Pandian Vasant, Universiti Teknologi Petronas, Malaysia
vasantglobal@gmail.com