【优化求解】基于黄金正弦算法Gold-SA求解最优目标matlab代码

以你之姓@ 2022-09-17 05:17 142阅读 0赞

## 1 简介 ##

黄金正弦算法(Gold-SA)是 Tanyildizi 等 于2017 年提出的一种新型元启发式优化算法。

![a38ad544964e5b4c910d0653559360f4.png][]

![da5497698a39f8b72225c9fb08107a42.png][]

![301b1c28afe799ce055b1aff0bfb83cf.png][]

## 2 部分代码 ##

% Main paper:

% E. Tanyildizi, G. Demir, "Golden Sine Algorithm: A Novel Math-Inspired Algorithm," Advances in Electrical and Computer Engineering, vol.17, no.2, pp.71-78, 2017, doi:10.4316/AECE.2017.02010

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% func\_obj = @CostFunction

% dim = number of your variables

% Max\_iteration = maximum number of iterations

% Population = number of search agents

% Lb=Lower bound

% Ub=Upper bound

% To run GoldSA: \[Best\_value,Best\_pos\]=GoldSA(Population,Max\_Iter,Lb,Ub,dim,func\_obj)

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clear

clc

Population=30; % Number of population

Function='F2'; % Name of the test function that can be from F1 to F5 (Table 1,2,3 in the paper)

Max\_Iter=200; % Maximum numbef of iterations

% Load details of the selected benchmark function

\[Lb,Ub,dim,func\_obj\]=Get\_Functions\_details(Function);

\[Best\_value,Best\_pos\]=GoldSA(Population,Max\_Iter,Lb,Ub,dim,func\_obj);

figure(1)

plot(Best\_value)

xlabel('迭代次数')

ylabel('适应度值')

## 3 仿真结果 ##

![567b92cdc5cea0ded3a56f8cfb552b5c.png][]

## 4 参考文献 ##

\[1\]周有荣, 李娜, & 周发辉. (2020). 黄金正弦算法在水文地质参数优化中的应用. 人民珠江, 041(006), 117-120,128.

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[da5497698a39f8b72225c9fb08107a42.png]: /images/20220828/135e177f9741404abd01bd8ab8a5ad63.png
[301b1c28afe799ce055b1aff0bfb83cf.png]: /images/20220828/28f05be9a49941b186a358a9fd1018cf.png
[567b92cdc5cea0ded3a56f8cfb552b5c.png]: /images/20220828/ff23032e927c4b4aa0fa4f87709d9268.png
[af23c88cef4660771a1d0661593128a8.png]: /images/20220828/f4829b06be604ca7b42b2e2fab2a5d24.png