一种针对函数优化的改进鲸鱼优化算法

An Improved Whale Optimization Algorithm for Function Optimization

为了提升寻优精度和收敛速度,文章提出了一种改进鲸鱼优化算法。引入混沌Tent映射对猎物包围机制进行改进,提升个体包围速度;设计非线性收敛因子递减机制,均衡全局搜索和局部开发能力;引入混沌Chebyshev映射和高斯扰动机制对气泡攻击进行改进,改善攻击速度慢、精度低的问题,并避免陷入局部最优。通过基准函数测试,证实改进的鲸鱼优化算法可以有效提升寻优精度和收敛速度。

For promoting the optimization accuracy and convergence speed,an improved whale optimization algorithm(IWOA)is raised in this paper.The chaotic Tent map is introduced for improving prey enclosure mechanism and promoting individual enclosure speed.A non-linear convergence factor decreasing mechanism is designed to balance the ability between the global search and local exploration.The chaotic Chebyshev map and Gaussian perturbation mechanism is presented to improve the bubble attack,improve the slow attack speed and low accuracy problems,and avoid falling into the local optimum.The benchmark function test proves that the IWOA can effectively improve the optimization accuracy and convergence speed.