Hybrid strategy improved Archimedes optimization algorithm

The invention discloses a hybrid strategy improved Archimedes optimization algorithm, which is characterized in that through a Circle mapping chaos search strategy, the diversity of an initial population is increased, so that the initial population can fully explore an initial solution space; the nonlinear density reduction factor is improved, and the calculation of the density reduction factor is crucial to the balance between algorithm exploration and development; in order to prevent the algorithm from falling into local optimum, a position disturbance strategy based on time-varying Gaussian variation is introduced, so that the algorithm jumps out of a local extreme point. Finally, the optimization performance of the algorithm is subjected to a comparison test, and experimental results show that the algorithm has better convergence and optimization precision. 本发明公开了一种混合策略改进阿基米德优化算法，通过Circle映射混沌搜索策略，增加初始种群的多样性，使其能充分探索初始解空间；改进其非线性密度降低因子，密度降低因子的计算对算法勘探与开发之间的平衡至关重要；为防止算法陷入局部最优，引入基于时变高斯变异的位置扰动策略，使其跳出局部极值点。最后对算法的