Immune Optimization Computing. Learning and Recognition

Author: Jiao Licheng
Publisher:
Publish Date: 2006-06-01
Features: This book is a systematic summary of the author's research achievements in the field of artificial immune systems. Based on a comprehensive review of the current development status of artificial immune systems both domestically and internationally, the book focuses on introducing the author's research findings in this field, mainly including the construction of algorithms such as immune algorithms, immune clonal selection algorithms, quantum cloning computation, and artificial immune networks, as well as their relevant applications in areas such as data clustering, network routing, communication multi-user detection, and computer network security. The book also explores further research directions for the artificial immune system. It can serve as a reference for professionals engaged in artificial immune system research in fields such as computer science, information science, artificial intelligence, and automation technology, and can also be used as a textbook for graduate students and senior undergraduate students in relevant disciplines.