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.