Abstract
The coordination in multi-agent system is the key to the global optimum and centralized coordination is regarded as the most natural and effective way to organized work among agents. In this paper we propose a centralized scheduling approach to manipulate centralized coordination among heterogeneous agents. The main contribution is that center agent, as information collector, processer and resource scheduler in this study, enacts centralized scheduling to run well. And clustering analysis based on artificial immune algorithm is applied to process information, moreover a series of schemes are suggested to ensure smooth scheduling. The effectiveness of the proposed method is shown through simulation results.
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Niu, W., Xu, Yq., Wu, J., Tan, Yz. (2015). A Centralized Scheduling Approach to Multi-Agent Coordination. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of the 21st International Conference on Industrial Engineering and Engineering Management 2014. Proceedings of the International Conference on Industrial Engineering and Engineering Management. Atlantis Press, Paris. https://doi.org/10.2991/978-94-6239-102-4_36
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DOI: https://doi.org/10.2991/978-94-6239-102-4_36
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