Whale Optimization Algorithm Based on Skew Tent Chaotic Map and Nonlinear Strategy

To solve the problems that whale optimization algorithm is easy to fall into local and slow convergence speed, improved proposed. Firstly, uses Skew Tent chaotic map initialize population, improve diversity of original population make individual position distribution whales more uniform; Secondly, nonlinear factor based on inverse incomplete ? function used balance global exploration development ability algorithm. Through simulation experiments 8 benchmark functions, from perspective mean square deviation average value, speed accuracy are significantly higher than those traditional