Aiming at the problems of low convergence precision and slow convergence speed of whale optimization algorithm（ WOA）

an advanced WOA（ AWOA） based on chaotic weight and elite guidance is proposed.Considering the influence of randomicity of pre-search on convergence speed

elite individual guidance mechanism is introduced

and the evolutionary feedback information of elite individuals is used to adjust the search direction of the population in time

so as to enhance the global search ability of the algorithm. Chaotic dynamic weight factor is introduced to enhance the local search ability and improve the convergence precision of the algorithm. Simulation results of several benchmark functions show that the improved whale algorithm has better optimization performance.