Preface

The advent and widespread application of computational intelligence in recent years, specifically artificial intelligence, machine learning, deep learning, data mining, and data analytics, has led to increased interest in sophisticated and optimized searching and data-matching problems, especially in information retrieval and computational biology.

This book explores how we search for resources in our minds and in the world and discusses the recent advancement and applications of quantum search, harmony search, cognitive search, genetic search, combinatorial search, and parallel random search algorithms in solving tough optimization difficulties that arise in advanced cross-domain engineering technologies.

This book presents state-of-the-art technical contributions based on the most sought-after search algorithms in various domains, including computation intelligence, medicine, e-Commerce, and many others. It consists of a selection of the best contributions from researchers, academicians, and experts on search optimization who present their latest findings and discuss the past, present, and future of this exciting field.

I would like to convey our appreciation to all contributing authors for their excellent chapters. I owe special thanks to Author Service Manager Mr. Josip Knapić and Commissioning Editor Ms. Jelena Germuth at IntechOpen for their kind support and great efforts in bringing the book to fruition. In addition, I also appreciate all those who assisted me throughout the publication process.

> **Dinesh G. Harkut** Head and Associate Professor, Department of Computer Science and Engineering, Prof Ram Meghe College of Engineering and Management, Amravati, M.S., India
