CEC2013（python）：六种算法（RFO、PSO、CSO、WOA、DBO、ABC）求解CEC2013

一、六种算法简介

1、红狐优化算法RFO

2、粒子群优化算法PSO

3、鸡群优化算法CSO

4、鲸鱼优化算法WOA

5、蜣螂优化算法DBO

6、人工蜂群算法（Artificial Bee Colony Algorithm, ABC）

二、6种算法求解CEC2013

（1）CEC2013简介

参考文献：

[1] Liang J J , Qu B Y , Suganthan P N , et al. Problem Definitions and Evaluation Criteria for the CEC 2013 Special Session on Real-Parameter Optimization. 2013.

（2）部分python代码

from CEC2013.cec2013 import *
import numpy as np
from RFO import RFO
from ABC import ABC
from PSO import PSO
from WOA import WOA
from CSO import CSO
from DBO import DBO
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['Microsoft YaHei']
#主程序
#主程序
function_name =14 #测试函数1-28
SearchAgents_no = 50#种群大小
Max_iter = 100#迭代次数
dim=10#维度 10/30/50/100
lb=-100*np.ones(dim)#下限
ub=100*np.ones(dim)#上限
cec_functions = cec2013(dim,function_name)
fobj=cec_functions.func#目标函数
BestX1,BestF1,curve1 = ABC(SearchAgents_no, Max_iter,lb,ub,dim,fobj)#问题求解
BestX2,BestF2,curve2 = PSO(SearchAgents_no, Max_iter,lb,ub,dim,fobj)#问题求解
BestX3,BestF3,curve3 = WOA(SearchAgents_no, Max_iter,lb,ub,dim,fobj)#问题求解
BestX4,BestF4,curve4 = CSO(SearchAgents_no, Max_iter,lb,ub,dim,fobj)#问题求解
BestX5,BestF5,curve5 = DBO(SearchAgents_no, Max_iter,lb,ub,dim,fobj)#问题求解
BestX6,BestF6,curve6 = DBO(SearchAgents_no, Max_iter,lb,ub,dim,fobj)#问题求解
#画收敛曲线图
Labelstr=['ABC','PSO','WOA','CSO','DBO','RFO']
Colorstr=['r','g','b','k','c','m']
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])plt.semilogy(curve6,color=Colorstr[5],linewidth=2,label=Labelstr[5])
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.plot(curve6,color=Colorstr[5],linewidth=2,label=Labelstr[5])plt.xlabel("Iteration")
plt.ylabel("Fitness")
plt.xlim(0,Max_iter)
plt.title("cec2013-F"+str(function_name))
plt.legend()
plt.savefig(str(function_name)+'.png')
plt.show()
#