The Cheetah Optimizer: A Nature-Inspired Metaheuristic Algorithm ..代码阅读

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%  The Cheetah Optimizaer (CO) source codes version 1.0             %
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%  Developed in MATLAB R2018b                                       %
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%  Author and programmer: M. A. Akbari and M. Zare                  %
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%  Homepages:https://www.optim-app.com    &                         %
%            https://seyedalimirjalili.com/co                       %
%  Authors: M. A. Akbari, M. Zare, R. Azizipanah-Abarghooei,        %
%              S. Mirjalili, M. Dericheh                            %
%  Title:   The Cheetah Optimizer: A Nature-Inspired Metaheuristic %
%  Algorithm for Large-Scale Optimization Problems                  %
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%  Scientific Reports                                               %
%___________________________________________________________________%
clc;
clear all;
close all;
%% Problem Definition
f_name=['F1';'F2';'F3';'F4';'F5';'F6';'F7';'F8';'F9'];
f_name1=['F10';'F11';'F12';'F13';'F14';'F15';'F16';'F17';'F18';'F19';'F20';'F21';'F22';'F23'];

tic
for fnm = 1 % Test functions
    for run = 1 : 1
        
        %% Problem definition (Algorithm 1, L#1)
        if fnm <= 9
            Function_name = f_name(fnm,:);
        else
            Function_name = f_name1(fnm-9,:);
        end
        [lb,ub,D,fobj] = Get_Functions_details(Function_name); % The shifted functions' information
        D = 100;                   % Number of Decision Variables
        if length(lb) == 1
            ub = ub.*ones(1,D);   % Lower Bound of Decision Variables