Task assignment based on improved contract net in dynamic environment

Wang Mingqian 1, 2, * and Cao Shuai 1, 2

1 School of Information Engineering, Changzhou Vocational Institute of Mechatronic Technology, Changzhou, Jiangsu Province, P.R.China.
2 Jiangsu Internet of Things and Manufacturing Information Engineering Technology Research and Development Center, Changzhou, Jiangsu Province, P.R.China.
 
Research Article
Global Journal of Engineering and Technology Advances, 2020, 02(03), 045-053.
Article DOI: 10.30574/gjeta.2020.2.3.0018
Publication history: 
Received on 15 March 2020; accepted on 21 March 2020
 
Abstract: 
Task assignment algorithm research is an important direction in multi-agent research. The traditional contract-based task allocation algorithm has a low efficiency problem, and the problem will be more prominent in a dynamic environment. In the dynamic environment, an improved contract network method is proposed for the task allocation algorithm of multi-agent system. This method considers task familiarity and load balance, and improves the efficiency of multi-agent system allocation. Simulation results show that this paper shows that the method improves the system revenue.
 
Keywords: 
Dynamic environment; Improved contract net; Task familiarity; Task assignment
 
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