Title :
A Model of Self-Adaptive Task Allocation for Multi-Agents Inspired by Social Insects
Author :
Zhuang, Xiaodong ; Yin, Bo
Author_Institution :
Electron. & Eng. Dept., Qingdao Univ., Qingdao
Abstract :
The bee-ant task allocation method is proposed as a model for multi-agent task allocation, which is inspired by the swarm intelligence mechanism of social insects. The bee-ant task allocation method is a variation of the ant colony optimization, in which the task selection model of honeybees is adopted. Experimental results indicate the adaptability and robustness of the bee-ant task allocation method.
Keywords :
multi-agent systems; optimisation; ant colony optimization; bee-ant task allocation; honeybees; multiagent task allocation; self-adaptive task allocation; social insect; swarm intelligence; Ant colony optimization; Artificial intelligence; Automation; Computer science; Educational institutions; Insects; Intelligent networks; Intelligent systems; Particle swarm optimization; Robustness; multi-agent; social insects; swarm intelligence; task allocation;
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3391-9
Electronic_ISBN :
978-0-7695-3391-9
DOI :
10.1109/ICINIS.2008.93
