The traditional particle swarm optimization(PSO) algorithm has some shortcomings such as low convergence precision,stagnant search and so on,which lead to the low precision of robot path planning. In order to improve the precision of path planning,the traditional particle swarm optimization algorithm was improved. Firstly,the inertia weight factor and acceleration factor were adjusted adaptively by the trigonometric function in each stage of the algorithm operation,so that the parameters in the algorithm we...
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