Water Cycle Algorithm-Based Control for Optimal Consensus Problem

Ramin Fotouhi, M. Pourgholi
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Abstract

This paper presents an approach for controlling the multi-agent system based on optimal control approach. The cost function of this problem is global, and three algorithms (Jaya, teaching-learning and water cycle algorithms) are applied to the system. Simulation outputs show the usefulness of the water cycle algorithm so as to find the better performance in terms of complexity of algorithm for the problem, and this technique leads to optimal consensus. Simulations are done via Matlab software.
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基于水循环算法的最优共识问题控制
提出了一种基于最优控制方法的多智能体系统控制方法。该问题的代价函数是全局的,系统采用了三种算法(Jaya算法、教-学算法和水循环算法)。仿真结果显示了水循环算法的有效性,从而在算法复杂度方面找到了更好的性能,该技术导致了最优共识。通过Matlab软件进行了仿真。
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