Preface

This book is based on Applications of Artificial Intelligence and Nature Inspired Algorithms in different areas of Computer Science. Artificial Intelligence (AI) encompasses by means of computers to do things that customarily need human intelligence. It also includes acting on data, learning from new data, and improving over time, just corresponding to a small human kid growing up into a smarter human adult. Nature-inspired algorithms are a set of original problem-solving practices and approaches and take enticing substantial consideration for their respectable act. Typical examples of nature-inspired algorithms contain evolutionary computing (EC), artificial neural networks (ANN), swarm intelligence (SI), and fuzzy systems (FS) and they have been useful to resolve several actual problems. Even with the fame of nature-inspired algorithms, several tests endure, which need extra research efforts. In this book, we focus on Artificial Intelligence (AI) and optimization algorithms for data analytical processes. Each chapter in this book is written by topic experts on applications of Artificial Intelligence (AI) and nature-inspired algorithms in data science.