Generation and Adaptation Mechanism of Swarm Strategy for Multi-Agent System. Optimization Algorithm of Swarm Strategy by Biologically Inspired Immune Type Swarm Robotic System.

Abstract

This paper presents generation and adaptation mechanism of the swarm strategy for a multi-agent system in a dynamic environment. The approach for the adaptation of the swarm strategy is based on the clonal selection theory of the biological immune system. The immune system possesses a homeostasis maintenance mechanism which allows for recognition of self and non-self, and removal of foreign substances from the body. In this paper, we adopt some of the immune mechanisms for each agent and for interaction between agents. Tactics the mechanism we present here, is one method to search and adapt the optimal swarm strategy in a dynamic environment. By using this tactics cloning, individual tactics or a set of individual tactics generates the most optimal swarm strategy.