基于三角函数搜索因子的混合蛙跳算法

针对传统混合蛙跳算法存在收敛速度慢、容易陷入局部最优和搜索精度不高的缺陷,提出了基于三角函数搜索因子的混合蛙跳算法。该算法将基于三角函数搜索因子的局部进化策略和产生新个体策略引入到混合蛙跳算法中,改进混合蛙跳算法的局部搜索精度和全局收敛性能。实验结果表明,基于三角函数搜索因子的混合蛙跳算法能够显著改善混合蛙跳算法的寻优精度和收敛速度,使算法的搜索效率和稳定性同时得到提高。

Shuffled frog leaping algorithm based on trigonometric search factor

To solve the problems of slow convergence, easily falling into local optimum and low optimization precision of the shuffled frog leaping algorithm (SFLA), we propose a shuffled frog leaping algorithm based on trigonometric functions search factor (TSF SFLA). The algorithm introduces the local evolution and global search updating policies based on the triangle function search factor to the SFLA to improve its local search capability and precision. Experimental results show that the TSF SFLA can significantly improve the optimization accuracy and convergence speed of the SFLA, and it has a better optimization capability and stability.