Co-evolutionary computation and multi-agent systems

Author: Jiao Licheng
Publisher:
Publish Date: 2006-09-01
Features: This book is a systematic summary of the author's recent research achievements in the fields of co-evolutionary computation and multi-agent systems within natural computing. Based on summarizing the current development status of this research direction both domestically and internationally, the book focuses on introducing the author's research achievements in this field, mainly including: organizational co-evolutionary algorithms, co-evolutionary multi-objective optimization algorithms, agent evolutionary algorithms, the construction, implementation, and application of macro-agent evolutionary models in various fields such as large-scale data classification, SAT problems, VLSI layout planning, numerical optimization, combinatorial optimization, constraint satisfaction, constraint layout optimization, and delay-constrained multicast routing. The book emphasizes both algorithm theory and practical applications, not only providing research methods for researchers in related co-evolutionary computation and multi-agent systems but, more importantly, offering new ideas and methods for the application of computational intelligence. This book can serve as a reference for professionals in the fields of computer science, information science, artificial intelligence, and automation technology who are engaged in natural computing, evolutionary computation, co-evolutionary computation, and multi-agent systems research. It can also be used as a textbook for graduate students and senior undergraduate students in related disciplines. The book consists of 12 chapters, covering topics such as organizational co-evolutionary algorithms, co-evolutionary multi-objective optimization algorithms, agent evolutionary algorithms, and their implementation in large-scale data classification and numerical optimization problems.