Recently, systems are becoming more complex and larger than ever, so numerous attempts have been made to introduce biological features into artificial systems, because many biological systems in the nature exist as one of the most complex systems. Multi agent system with symbiotic learning and evolution have been recently proposed. It is named Masbiole. In this paper, Masbiole is reviewed and the method for evolving multi agent systems is proposed. From simulations on a multi objective knapsack problem, it has been clarified that Masbiole has better performance than that of conventional multi objective genetic algorithms.
|Number of pages
|IEEJ Transactions on Electronics, Information and Systems
|Published - 2003 Jan
- multi agent system
- pareto optimal solutions
ASJC Scopus subject areas
- Electrical and Electronic Engineering