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首页> 外文期刊>Journal of Mathematical Sciences and Applications >Genetic Algorithm for Task Allocation and Path Planning of Multi-robot System
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Genetic Algorithm for Task Allocation and Path Planning of Multi-robot System

机译:遗传算法的多机器人系统任务分配与路径规划

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Based on the consideration of the collision, the task allocation and path planning of multi-robot system are studied. With robots’ the longest travel time as a restrictive condition and the total cost minimum as the objective function, the integer programming model is established; In order to avoid robots colliding in the process of walking, a collision penalty term is introduced and a genetic algorithm with collision detection is designed. Using the genetic algorithm, the optimal solution of task allocation and path planning can be found effectively, the paths can avoid the robots collision. Finally, the model and algorithm are verified by a specific example.
机译:基于碰撞的考虑,研究了多机器人系统的任务分配和路径规划。以机器人最长的行驶时间为约束条件,以总成本最小为目标函数,建立了整数规划模型;为了避免机器人在行走过程中发生碰撞,引入了碰撞惩罚项,并设计了具有碰撞检测的遗传算法。利用遗传算法,可以有效地找到任务分配和路径规划的最优方案,避免机器人碰撞。最后,通过具体实例验证了模型和算法。

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