In today's complex and fast-paced world, decision-making is critical to problem-solving across industries and academia. However, traditional optimization techniques often need help to cope with the challenges posed by dynamic and intricate environments. This limitation hampers decision-makers' ability to tackle complex problems and seize opportunities effectively. As such, there is a pressing need for innovative approaches that can enhance decision-making processes, enabling individuals and organizations to navigate uncertainty and achieve optimal outcomes.

Bio-Inspired Intelligence for Smart Decision-Making offers a compelling solution to this challenge. By exploring the intersection of bio-inspired optimization techniques and decision-making, this book presents a fresh perspective that can revolutionize decisions. The book introduces readers to powerful bio-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies through a multidisciplinary lens that encompasses computer science, artificial intelligence, optimization, and decision science. These algorithms mimic natural systems' efficiency and adaptability, offering a robust framework for addressing complex decision-making problems in diverse fields.

This book equips readers with a deep understanding of bio-inspired optimization principles and provides practical guidance on their implementation in various decision-making scenarios. By combining theoretical foundations with real-world case studies, the book enables readers to grasp both the conceptual framework and the practical application of bio-inspired techniques for intelligent decision-making. Whether you are a researcher, a graduate student, or a professional seeking to enhance your decision-making capabilities, this book is an invaluable resource that will empower you to leverage nature's wisdom for optimal decision-making in your respective field.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Adaptive Decision-Making with Evolutionary Strategies
Ant Colony Optimization and its Applications in Decision-Making
Case Studies in Bio-Inspired Decision-Making: Finance, Engineering, and Healthcare
Dynamic Decision-Making with Nature-Inspired Algorithms
Foundations of Evolutionary Algorithms
Future Perspectives and Emerging Trends in Intelligent Decision-Making
Genetic Algorithms for Decision Optimization
Hybrid Approaches: Combining Bio-Inspired Optimization with Machine Learning
Introduction to Bio-Inspired Optimization and Decision-Making
Particle Swarm Optimization for Decision Support
Swarm Intelligence and Collective Decision-Making

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Editor/Author Biographies

Ramkumar Jaganathan currently serves as an Assistant Professor in the esteemed Department of Information Technology & Cognitive Systems at Sri Krishna Arts and Science College in Coimbatore, India. His academic journey culminated in the completion of his Ph.D. degree from Bharathiar University, underlining his commitment to scholarly pursuits. With a prolific research career, he has authored and contributed to over 38 research papers, published in distinguished International Journals and Conferences, including SCOPUS and SCIE publications. His research endeavours primarily focus on ad-hoc networks, route optimization, decision support systems, and the Internet of Things, showcasing a diverse range of interests and expertise. Beyond his research contributions, he actively engages in various roles within the academic community. He has served as a Technical Committee Member, Scientific Committee Member, Advisory Board Member, and Reviewer for more than 413 International Conferences and 42 Refereed Journals. This extensive involvement underscores his commitment to advancing knowledge and the academic peer-review process. His multifaceted contributions to research, coupled with his dedication to the academic community, exemplify his standing as a respected professional in the field of Information Technology and Cognitive Systems.

Shilpa Mehta has completed her PhD degree from Auckland University of Technology, New Zealand. She has five years of teaching experience from different reputed colleges and universities of India. Currently, she is working as a Teaching Assistant at Auckland University of Technology (AUT), Auckland, New Zealand. She was awarded Summer Doctoral Research Scholarship for her PhD research. She has worked on various interdisciplinary research projects and her research interests include Radio Frequency Integrated Circuits, RF front ends, Optimization, Internet of Things, Wireless Communication, Artificial Intelligence, Healthcare, Radars, and Software-defined Radios, Smart Cities. As an editor, she has edited four books with IGI Global and one with Nova Science Publishers. She is also working on different edited books to be published by IGI Global, Apple Academic Press, Scrivener-Wiley, Cambridge, and Springer Nature, respectively.

Ram Krishan is presently working as Assistant Professor and Head, Department of Computer Science, Mata Sundri University Girls College, Mansa, Punjab, India (A Constituent College of Punjabi University, Patiala). Dr. Ram obtained his Ph.D in Computer Science and Engineering from Guru Kashi University, Talwandi Sabo in 2017 and M.Tech. in Computer Engineering from Punjabi University, Patiala in 2009. He has rich teaching experience of more than 15 years. He has authored two academic books and also published more than 40 research papers in various International/National Journals, Conference Proceedings and Book Chapters. Dr. Ram has also edited eight research books in the field of wireless communication and computing. His research areas include wireless communication, cloud computing and antenna design.

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