This work investigates the possibility of using a novel evolutionary based technique as a solution for the navigation problem of a\nmobile robot in a strange environment which is based on Teaching-Learning-Based Optimization. TLBO is employed to train the\nparameters of ANFIS structure for optimal trajectory and minimum travelling time to reach the goal.The obtained results using\nthe suggested algorithm are validated by comparison with different results fromother intelligent algorithms such as particle swarm\noptimization (PSO), invasive weed optimization (IWO), and biogeography-based optimization (BBO). At the end, the quality of the\nobtained results extracted fromsimulations affirms TLBO-based ANFIS as an efficient alternative method for solving the navigation\nproblem of the mobile robot.
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