Moth-Flame Algorithm Principle and Its Applications

Author: Duan Haibin
Publisher:
Publish Date: 2006-02-28
Features: This book systematically and deeply introduces the principles and applications of ant colony algorithms, aiming to summarize the latest research progress in this academic field. The book consists of 10 chapters, with its main content including the origin, current research status, and mechanism principles of ant colony algorithms; complexity analysis of ant colony algorithms; proof of the convergence of ant colony algorithms; the impact of parameters on the performance of ant colony algorithms; parameter selection principles for ant colony algorithms; several improvement strategies for ant colony algorithms in discrete and continuous domains; typical applications of ant colony algorithms in multiple optimization fields; hardware implementation techniques for ant colony algorithms; comparison and integration of ant colony algorithms with other bio-inspired optimization algorithms; research prospects of ant colony algorithms; and finally, the appendix provides the program source code of the basic ant colony algorithm and relevant websites. The content of the book is novel, covers a broad scope, is easy to understand yet profound, systematic, and emphasizes the connection between theory and practice, striving to enable readers to quickly master and apply this emerging bio-inspired optimization algorithm. ..This book can serve as a reference for senior undergraduate students, graduate students, and teachers in majors such as computer science, control science, artificial intelligence, and management science. It can also be used as a reference for faculty and students in other science and engineering disciplines, as well as for scientists and engineers who use computers for intelligent optimization.