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Multi Objective optimization based Path Planning in robotics using nature inspired algorithms: A survey

机译:使用自然启发算法的机器人中基于多目标优化的路径规划:一项调查

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Path Planning is one of the exclusive research area in the Robotics. It basically focuses on the robot motion from the initial position to final position such that it must avoid the hurdles and finally reach the goal in optimal path. But it is not an easy task because many conditions are included for the efficiency of final result like working on different environments, known or unknown target etc. Conventional methods, are not suitable because of their limitations. To compensate the problem the nature inspired algorithms are applied in the path planning. These algorithms can efficiently work for different optimization problems. The Multi Objective optimization is applied to path planning techniques using nature inspired algorithms can perform well in different scenarios thereby increasing the overall efficiency of the algorithms.
机译:路径规划是机器人技术领域中唯一的研究领域之一。它主要着眼于机器人从初始位置到最终位置的运动,因此它必须避开障碍物并最终以最佳路径达到目标。但这不是一件容易的事,因为要包括许多条件以提高最终结果的效率,例如在不同的环境下工作,已知或未知目标等。常规方法由于其局限性而不合适。为了补偿该问题,在路径规划中应用了自然启发算法。这些算法可以有效地解决不同的优化问题。使用自然启发算法可以将多目标优化应用于路径规划技术,该算法可以在不同情况下表现良好,从而提高了算法的整体效率。

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