A multi-agent task allocation strategy based on artificial immune system

This paper focuses on the research and implement of multi-agent task allocation strategy under the circumstance of RoboCup Rescue Simulation System, especially the implement of ambulance team agent model which is one of the three important agent models. The major achievement of this paper is to propose an effective decision-making model of ambulance team agents based on artificial immune system. How to select and design affinity parameters and stimulation and suppression parameters between antigens and antibodies is performed. Experimental results show that the new task allocation strategy for the ambulance team had a substantial increase in efficiency and quality.