Task assignment based on improved contract net in dynamic environment
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
Full text article in PDF:
Copyright information:
Copyright © 2020 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0