Ant Colony Algorithm Principle and Its Applications

Author: Duan Haibin
Publisher:
Publish Date: 2005-12-01
Features: "Principles and Applications of Ant Colony Optimization Algorithm (Hardcover)" systematically and comprehensively introduces the principles and applications of ant colony optimization algorithm, aiming to summarize the latest research progress in this academic field. The book consists of 10 chapters, mainly including the origin of the idea of ant colony optimization algorithm, current research status, and mechanism principles; complexity analysis of ant colony optimization algorithm; proof of convergence of ant colony optimization algorithm; the impact of parameters on the performance of ant colony optimization algorithm; parameter selection principles of ant colony optimization algorithm; several improvement strategies of ant colony optimization algorithm in discrete and continuous domains; typical applications of ant colony optimization algorithm in multiple optimization fields; hardware implementation techniques of ant colony optimization algorithm; comparison and integration of ant colony optimization algorithm with other bio-inspired optimization algorithms; research prospects of ant colony optimization algorithm; and finally, the basic ant colony optimization algorithm's program source code and related websites are provided in the appendix. The book systematically and comprehensively introduces the principles and applications of ant colony optimization algorithm, aiming to summarize the latest research progress in this academic field. The book consists of 10 chapters, with main content including the origin of the idea of ant colony optimization algorithm, current research status, and mechanism principles; complexity analysis of ant colony optimization algorithm; proof of convergence of ant colony optimization algorithm; the impact of parameters on the performance of ant colony optimization algorithm; parameter selection principles of ant colony optimization algorithm; several improvement strategies of ant colony optimization algorithm in discrete and continuous domains; typical applications of ant colony optimization algorithm in multiple optimization fields; hardware implementation techniques of ant colony optimization algorithm; comparison and integration of ant colony optimization algorithm with other bio-inspired optimization algorithms; research prospects of ant colony optimization algorithm; and finally, the basic ant colony optimization algorithm's program source code and related websites are provided in the appendix. The content of the book is novel, covers a wide range of topics, is easy to understand yet profound, systematic, emphasizes the connection between theory and practice, and strives to enable readers to quickly master and apply this emerging bio-inspired optimization algorithm. The book can serve as a reference for senior undergraduate and graduate students, as well as teachers in 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, and is suitable for scientists and engineers engaged in intelligent optimization using computers.