Research on Path Planning Based on Adaptive Dynamic Whale Optimization Algorithm
Aiming at the shortcomings of slow convergence,low accuracy and local optimization when solving the path planning problem with whale optimization algorithm(WOA),an adaptive dynamic whale optimization algorithm(ADWOA)is proposed to realize the reasonable path planning.Firstly,the improved Circle chaotic map is introduced to improve the quality of the initial population.Then,the nonlinear convergence factor and the global and local optimization of the adaptive inertia weight balance algorithm are used to accelerate the convergence speed of the algorithm.Finally,the dynamic spiral update coefficient is used to improve the ability of the algorithm to jump out of the local optimum.The effectiveness of the adaptive dynamic whale optimization algorithm in robot path planning is verified by simulation experiments.
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