一、改进型鳟海鞘算法SSALEO
改进型鳟海鞘算法（SSALEO）由Mohammed Qaraad等人于2022年提出。
参考文献：M. Qaraad, S. Amjad, N. K. Hussein, S. Mirjalili, N. B. Halima and M. A. Elhosseini, "Comparing SSALEO as a Scalable Large Scale Global Optimization Algorithm to High-Performance Algorithms for Real-World Constrained Optimization Benchmark," in IEEE Access, vol. 10, pp. 95658-95700, 2022, doi: 10.1109/ACCESS.2022.3202894.
二、SSALEO求解23个测试函数
23个测试函数简介
测试集：23组基本测试函数简介及图像（提供python代码）_IT猿手的博客-CSDN博客
部分代码
from FunInfo import Get_Functions_details
from SSALEO import SSALEO
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['Microsoft YaHei']
#主程序
function_name =13 #测试函数1-23
SearchAgents_no = 50#种群大小
Max_iter = 100#迭代次数
lb,ub,dim,fobj=Get_Functions_details(function_name)#获取问题信息
BestX,BestF,curve = SSALEO(SearchAgents_no, Max_iter,lb,ub,dim,fobj)#问题求解
#画收敛曲线图
if BestF>0:
plt.semilogy(curve,color='r',linewidth=2,label='SSALEO')
else:
plt.plot(curve,color='r',linewidth=2,label='SSALEO')
plt.xlabel("Iteration")
plt.ylabel("Fitness")
plt.xlim(0,Max_iter)
plt.title("F"+str(function_name))
plt.legend()
plt.savefig(str(function_name)+'.png')
plt.show()
print('\nThe best solution is:\n'+str(BestX))
print('\nThe best optimal value of the objective funciton is:\n'+str(BestF))部分结果
