基于全局与局部误差融合的集成腐蚀速率预测模型：一种稳健优化策略

郑文培, 刘迎正, 张娅茹, 周涛涛, 李兴涛, 禹胜阳, 蒋璐朦

An Integrated Corrosion Rate Prediction Model Based on Global and Local Error Fusion: A Robust Optimization Strategy

ZHENG Wenpei, LIU Yingzheng, ZHANG Yaru, ZHOU Taotao, LI Xingtao, YU Shengyang, JIANG Lumeng

表1 基准功能

Table 1 Benchmark functions

Sample	Displayed formula
1	y = x₁exp (-(x $_{1}^{2}$ + x $_{2}^{2}$ )), x_i ∈[-2, 2]
2	y = 2x $_{1}^{2}$ - 1.05x $_{1}^{4}$ + $\frac{x_{1}^{6}}{6}$ + x₁x₂ + x $_{2}^{2}$ , x_i ∈[-5, 5]
3	y = ${(x_{2} - \frac{5.1 x_{1}^{2}}{4 π^{2}} + \frac{5 x_{1}}{π} - 6)}^{2}$ + 10 $(1 - \frac{1}{8 π})$ cosx₁ + 10, x₁∈[5, 10], x₂∈[0, 15]
4	y = 10sin[2(x₁ - 0.6 $π$ )] + x₂ + x₃ + x₄ + x₁x₂ + x₃x₄ + x $_{1}^{3}$ + x $_{4}^{3}$ , x_i ∈[0, 1]
5	y = $\sum_{i = 1}^{7} [\frac{3}{10} + s i n (\frac{16}{15} x_{i} - 1) + s i n^{2} (\frac{16}{15} x_{i} - 1)]$ , x_i ∈[-1, 1]