【智能优化算法海马优化器】基于海马优化器求解单目标优化问题附matlab代码

1 内容介绍

基于海马优化器求解单目标优化问题附matlab代码​

2 部分代码

%_______________________________________________________________________________________%

%  Sea-Horse optimizer (SHO)

%  Developed in MATLAB R2018a

%  optimization problems.

%  Applied Intelligence

%_______________________________________________________________________________________%

clear all 

clc

close all

popsize&＃61;30; % Number of search agents

Max_iter&＃61;100; % Maximum iteration

F_name&＃61;&＃39;F4&＃39;; % Name of the test function that can be from F1 to F23 (Table 2,3,4 in the paper)

[LB,UB,Dim,fobj]&＃61;BenchmarkFunctions(F_name);% Load details of the selected benchmark function

tic

[ObjectiveFitness,ObjectivePosition,Convergence_curve,Trajectories,fitness_history, population_history]&＃61;SHO(popsize,Max_iter,LB,UB,Dim,fobj);

time&＃61;toc;

figure(&＃39;Position&＃39;,[454   445   694   297]);

subplot(1,2,1);

func_plot(F_name);

title(&＃39;Parameter space&＃39;)

xlabel(&＃39;x_1&＃39;);

ylabel(&＃39;x_2&＃39;);

zlabel([F_name,&＃39;( x_1 , x_2 )&＃39;])

subplot(1,2,2);

semilogy(1:Max_iter,Convergence_curve,&＃39;color&＃39;,&＃39;r&＃39;,&＃39;linewidth&＃39;,2.5);

title(&＃39;Convergence curve&＃39;);

xlabel(&＃39;Iteration&＃39;);

ylabel(&＃39;Best score obtained so far&＃39;)

display([&＃39;The running time is:&＃39;, num2str(time)]);

display([&＃39;The best solution obtained by SHO is : &＃39;, num2str(ObjectiveFitness)]);

display([&＃39;The best optimal sea horse of the objective funciton found by SHO is : &＃39;, num2str(ObjectivePosition)]);

3 运行结果

4 参考文献

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