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% Zebra Optimization Algorithm: A New Bio-inspired Optimization Algorithm for Solving Optimization Algorithm
% IEEE access
% Eva Trojovská1, Mohammad Dehghani1, and Pavel Trojovský1*
% 1Department of Mathematics, Faculty of Science, University of Hradec Králové, 50003 Hradec Králové, Czech Republic
" Optimizer"
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ZOA is simulated in MATLAB software environment. In order to implement ZOA on optimizing F1 to F23 functions, follow the instructions below:
1- The "main.m" file is the main implementation code that call the information of the objective functions (including: number of variables, upper and lower band of variables, and mathematical formula of the objective function). This code then puts the objective function information as the input of the ZOA optimizer to determine its optimal solution.
2- The "fun_info.m" file determines the information of the objective function and provides it to the main program.
3- "ZOA.m" file is a proposed algorithm that implements ZOA steps on optimization of objective functions and publishes the optimal solution in the output.
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In order to implement the proposed ZOA algorithm in solving other optimization problems, dear researchers should put the optimization problem information in "fun_info.m". This includes the following information:
The number of variables, the upper and lower band of variables, and the mathematical formula of the objective function.
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斑马优化算法ZOA优化卷积神经网络长短记忆网络CNN-LSTM-Attention实现风电功率预测附matlab代码.rar
共18个文件
m:12个
png:3个
txt:2个
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1.版本:matlab2014/2019a/2021a 2.附赠案例数据可直接运行matlab程序。 3.代码特点:参数化编程、参数可方便更改、代码编程思路清晰、注释明细。 4.适用对象:计算机,电子信息工程、数学等专业的大学生课程设计、期末大作业和毕业设计。 5.作者介绍:某大厂资深算法工程师,从事Matlab算法仿真工作10年;擅长智能优化算法、神经网络预测、信号处理、元胞自动机等多种领域的算法仿真实验,更多仿真源码、数据集定制私信+。 替换数据可以直接使用,注释清楚,适合新手
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【风电预测】基于斑马优化算法ZOA优化卷积神经网络结合注意力机制的长短记忆网络CNN-LSTM-Attention实现风电功率预测附matlab代码.rar (18个子文件)
【风电预测】基于斑马优化算法ZOA优化卷积神经网络结合注意力机制的长短记忆网络CNN-LSTM-Attention实现风电功率预测附matlab代码
calc_error.m 2KB
Bounds.m 272B
initialization.m 559B
3.png 19KB
fun_info.m 7KB
说明.txt 854B
main.m 3KB
Levy.m 212B
1.png 77KB
Aroma_concentration.m 1KB
Readme.txt 3KB
Get_Functions_details.m 6KB
func_plot.m 2KB
Aroma_trajectory.m 1KB
fun.m 4KB
data.xlsx 20KB
ZOA.m 3KB
2.png 66KB
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