Academic scholars, entrenched in the complexities of various domains, face the daunting task of navigating intricate decision-making scenarios. The prevailing need for efficient and effective decision-making tools becomes increasingly apparent as traditional methodologies struggle to keep pace with the demands of modern research and industry. This pivotal issue necessitates a shift, urging scholars to explore unconventional approaches that can transcend disciplinary boundaries and unlock new dimensions of problem-solving.

In response to these pressing challenges, Intelligent Decision Making Through Bio-Inspired Optimization emerges as a beacon of ingenuity. This groundbreaking book transcends usual disciplinary boundaries, seamlessly integrating computer science, artificial intelligence, optimization, and decision science. Its multidisciplinary approach addresses the inherent complexities faced by scholars, offering a comprehensive exploration of nature-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies. The book's core mission is to empower academic scholars with the tools to overcome contemporary decision-making hurdles, providing a holistic understanding of these bio-inspired approaches and their potential to revolutionize the scholarly landscape.

Designed for researchers, graduate students, and professionals seeking to navigate the evolving challenges of decision-making, this book stands as a testament to the transformative power of bio-inspired optimization techniques. Through its exploration of theoretical foundations, algorithmic design, and real-world case studies, readers gain not only a conceptual framework but also practical insights to embrace these innovative approaches. Intelligent Decision Making Through Bio-Inspired Optimization is a guide to dismantling the barriers between academic fields. It propels scholars into a new era of intelligent decision-making, offering a fresh perspective that extends far beyond the limits of conventional methodologies.

Coverage:

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

Bio-Inspired Decision Optimization Tools
Complex Decision Scenarios
Evolutionary Algorithms
Genetic Algorithms
Improved Efficiency of Methodologies
Innovative Algorithmic Approaches
Interdisciplinary Problem Solving
Multidisciplinary Empowerment
Nature Inspired Problem Solving
Overcoming Contemporary Challenges
Practical Theoretical Foundations
Swarm Intelligence Applications

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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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