Water Cycle Algorithm-Based Control for Optimal Consensus Problem

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.