CEC2017（Python）：五种算法（HHO、RFO、OOA、PSO、GWO）求解CEC2017

一、5种算法简介

1、哈里斯鹰优化算法HHO

2、红狐优化算法RFO

3、鱼鹰优化算法OOA

4、粒子群优化算法PSO

5、灰狼优化算法GWO

二、CEC2017简介

参考文献：

[1]Awad, N. H., Ali, M. Z., Liang, J. J., Qu, B. Y., & Suganthan, P. N. (2016). “Problem definitions and evaluation criteria for the CEC2017 special session and competition on single objective real-parameter numerical optimization,” Technical Report. Nanyang Technological University, Singapore.

三、5种算法求解CEC2017

（1）部分Python代码

import cec2017.functions as functions
import numpy as np
import matplotlib.pyplot as plt
from HHO import HHO
from RFO import RFO
from OOA import OOA
from PSO import PSO
from GWO import GWO


plt.rcParams['font.sans-serif']=['Microsoft YaHei']
#主程序
function_name =1 #CEC2017 测试函数 1-29
SearchAgents_no = 50#种群大小
Max_iter = 100#最大迭代次数
dim=30;#维度只能是 10/30/50/100
lb = -100*np.ones(dim)#下界
ub = 100*np.ones(dim)#上界
fobj= functions.all_functions[function_name-1]


BestX1,BestF1,curve1 = HHO(SearchAgents_no, Max_iter,lb,ub,dim,fobj)#问题求解
BestX2,BestF2,curve2 = RFO(SearchAgents_no, Max_iter,lb,ub,dim,fobj)#问题求解
BestX3,BestF3,curve3 = OOA(SearchAgents_no, Max_iter,lb,ub,dim,fobj)#问题求解
BestX4,BestF4,curve4 = PSO(SearchAgents_no, Max_iter,lb,ub,dim,fobj)#问题求解
BestX5,BestF5,curve5 = GWO(SearchAgents_no, Max_iter,lb,ub,dim,fobj)#问题求解
#画收敛曲线图
Labelstr=['HHO','RFO','OOA','PSO','GWO']
Colorstr=['r','g','b','k','c']
if BestF1>0:
    plt.semilogy(curve1,color=Colorstr[0],linewidth=2,label=Labelstr[0])
    plt.semilogy(curve2,color=Colorstr[1],linewidth=2,label=Labelstr[1])
    plt.semilogy(curve3,color=Colorstr[2],linewidth=2,label=Labelstr[2])
    plt.semilogy(curve4,color=Colorstr[3],linewidth=2,label=Labelstr[3])
    plt.semilogy(curve5,color=Colorstr[4],linewidth=2,label=Labelstr[4])
else:
    plt.plot(curve1,color=Colorstr[0],linewidth=2,label=Labelstr[0])
    plt.plot(curve2,color=Colorstr[1],linewidth=2,label=Labelstr[1])
    plt.plot(curve3,color=Colorstr[2],linewidth=2,label=Labelstr[2])
    plt.plot(curve4,color=Colorstr[3],linewidth=2,label=Labelstr[3])
    plt.plot(curve5,color=Colorstr[4],linewidth=2,label=Labelstr[4])


plt.xlabel("Iteration")
plt.ylabel("Fitness")
plt.xlim(0,Max_iter)
plt.title("CEC2017-F"+str(function_name))
plt.legend()
plt.savefig(str(function_name)+'.png')
plt.show()
#

（2）部分结果

CEC2017（Python）：五种算法（HHO、RFO、OOA、PSO、GWO）求解CEC2017-CSDN博客

四、完整Python代码

原文地址：https://blog.csdn.net/2401_82411023/article/details/136004301

免责声明：本站文章内容转载自网络资源，如本站内容侵犯了原著者的合法权益，可联系本站删除。更多内容请关注自学内容网（zxcms.com）！