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Path Planning Research for Multi-Agent Robot Based on Co-Evolution
基于协同进化的多智能体机器人路径规划

Keywords: multi-agent robot,path planning,co-evolution,genetic algorithm
多智能体机器人
,路径规划,协同进化,遗传算法

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Abstract:

Co-Evolution is a novel, simple and effective Intelligent Optimization approach, has good convergence, robustness and efficiency in multi-objective optimization problem has been very widely used. In this paper, its application to complex environment of multi-robot path planning, and design of the fitness evaluation function. At the same time, the introduction of a new series of operator variability and effective manner to multi-robot path planning, optimization, accelerated the pace of overall planning to avoid a local optimum planning, multi-robot system in order to obtain the global optimal or sub-optimal solution. Finally, the simulation results prove the method is feasible and effective.

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