Enhanced Harris Hawks optimization algorithm through multistrategy integration

The sluggish convergence and local optima problems of the traditional Harris Hawks Optimization are addressed by the Multi-strategy Enhanced Harris Hawks Optimization (MHHO). It employs a nonlinear escape energy approach to avoid local optima, combines the African Vulture Optimization Algorithm's position update for better global optimization, starts the population with Circle chaotic mapping for variety, and adds adaptive weights for improved convergence. Six test functions confirm MHHO's increased speed and accuracy.