瞪羚优化算法Gazelle optimization algorithm附matlab代码

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⛄ 内容介绍

瞪羚优化算法Gazelle optimization algorithm

⛄ 部分代码

clear all

clc

format long

SearchAgents_no=50; % Number of search agents

Function_name='F1';

Max_iteration=1000; % Maximum number of iterations

[lb,ub,dim,fobj]=Get_Functions_details(Function_name);

[Best_score,Best_pos,Convergence_curve]=GOA2(SearchAgents_no,Max_iteration,lb,ub,dim,fobj);

% function topology

figure('Position',[500 400 700 290])

subplot(1,2,1);

func_plot(Function_name);

title('Function Topology')

xlabel('x_1');

ylabel('x_2');

zlabel([Function_name,'( x_1 , x_2 )'])

% Convergence curve

subplot(1,2,2);

semilogy(Convergence_curve,'Color','r')

title('Objective space')

xlabel('Iteration');

ylabel('Best score obtained so far');

display(['The best solution obtained by GOA is : ', num2str(Best_pos,10)]);

display(['The best optimal value of the objective function found by GOA is : ', num2str(Best_score,10)]);

disp(sprintf('--------------------------------------'));

⛄ 运行结果

⛄ 参考文献

[1] Agushaka J O ,  Ezugwu A E ,  Abualigah L . Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer[J]. Neural Computing and Applications, 2022.

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