Overview

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.

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Sri Krishna College of Arts and Science | SKASC · Information Technology Doctor of Philosophy 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. She is working as a Series Editor. As an editor, she has already edited two books out of which one has been published by IGI Global and the other one will be published by Nova Science (under publication phase). Additionally, she is currently working on four edited books to be published by IGI Global, Apple Academic Press, Scrivener-Wiley, and Springer Nature, respectively. Ram Krishan, presently working as Assistant Professor and Head, Department of Computer Science, Mata Sundri University Girls College, Mansa, Punjab (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 35 research papers in various International/National Journals, Conference Proceedings and Book Chapters. Dr. Ram has also edited five 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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