Editors: Rijwan Khan, Pawan Kumar Sharma, Sugam Sharma, Santosh Kumar

Artificial Intelligence and Natural Algorithms

eBook: US $79 Special Offer (PDF + Printed Copy): US $133
Printed Copy: US $93
Library License: US $316
ISBN: 978-981-5036-10-7 (Print)
ISBN: 978-981-5036-09-1 (Online)
Year of Publication: 2022
DOI: 10.2174/97898150360911220101

Introduction

This book informs the reader about applications of Artificial Intelligence (AI) and nature-inspired algorithms in different situations. Each chapter in this book is written by topic experts on AI, nature-inspired algorithms and data science.

The basic concepts relevant to these topics are explained, including evolutionary computing (EC), artificial neural networks (ANN), swarm intelligence (SI), and fuzzy systems (FS). Additionally, the book also covers optimization algorithms for data analysis.

The contents include algorithms that can be used in systems designed for plant science research, load balancing, environmental analysis and healthcare.

The goal of the book is to equip the reader – students and data analysts – with the information needed to apply basic AI algorithms to resolve actual problems encountered in a professional environment.

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.

Rijwan Khan
Department of Computer Science and Engineering
ABES Institute of Technology,
Ghaziabad (U.P.),
India