做企业网站的前景,婚纱网站建设 最开始,盐城网站建设找哪家好,优质企业网站开发一、小龙虾优化算法COA
小龙虾优化算法#xff08;Crayfsh optimization algorithm#xff0c;COA#xff09;由Jia Heming 等人于2023年提出#xff0c;该算法模拟小龙虾的避暑、竞争和觅食行为#xff0c;具有搜索速度快#xff0c;搜索能力强#xff0c;能够有效平衡…一、小龙虾优化算法COA
小龙虾优化算法Crayfsh optimization algorithmCOA由Jia Heming 等人于2023年提出该算法模拟小龙虾的避暑、竞争和觅食行为具有搜索速度快搜索能力强能够有效平衡全局搜索和局部搜索的能力。 参考文献
[1] Jia, H., Rao, H., Wen, C. et al. Crayfish optimization algorithm. Artif Intell Rev (2023). Crayfish optimization algorithm | Artificial Intelligence Review
二、无人机模型
单个无人机三维路径规划问题及其建模_IT猿手的博客-CSDN博客
参考文献
[1]胡观凯,钟建华,李永正,黎万洪.基于IPSO-GA算法的无人机三维路径规划[J].现代电子技术,2023,46(07):115-120
三、COA求解无人机路径规划
1部分代码
close all
clear
clc
warning off;
%% 三维路径规划模型定义
global startPos goalPos N
N2;%待优化点的个数(可以修改)
startPos [10, 10, 80]; %起点(可以修改)
goalPos [80, 90, 150]; %终点(可以修改)
SearchAgents_no30; % 种群大小(可以修改)
Function_nameF2; %F1:随机产生地图 F2导入固定地图
Max_iteration100; %最大迭代次数(可以修改)
% Load details of the selected benchmark function
[lb,ub,dim,fobj]Get_Functions_details(Function_name);
[Best_score,Best_pos,curve]COA(SearchAgents_no,Max_iteration,lb,ub,dim,fobj);%算法优化求解
AlgorithmNameCOA;%算法名字
figure
semilogy(curve,Color,r,linewidth,3)
xlabel(迭代次数);
ylabel(飞行路径长度);
legend(AlgorithmName)
display([算法得到的最优适应度: , num2str(Best_score)]);
Position[Best_pos(1:dim/3); Best_pos(1dim/3:2*(dim/3)); Best_pos(1(2*dim/3):end)]; %优化点的XYZ坐标每一行是一个点
plotFigure(Best_pos,AlgorithmName)%画最优路径
2部分结果 无人机飞行路径坐标: 1.0000000e01 1.0000000e01 8.0000000e01 1.4671343e01 1.2096840e01 8.2471270e01 1.9013264e01 1.4172151e01 8.4898411e01 2.3034818e01 1.6225688e01 8.7281557e01 2.6745057e01 1.8257207e01 8.9620845e01 3.0153034e01 2.0266463e01 9.1916411e01 3.3267803e01 2.2253213e01 9.4168390e01 3.6098415e01 2.4217212e01 9.6376918e01 3.8653926e01 2.6158215e01 9.8542131e01 4.0943387e01 2.8075979e01 1.0066416e02 4.2975852e01 2.9970259e01 1.0274315e02 4.4760374e01 3.1840811e01 1.0477923e02 4.6306005e01 3.3687391e01 1.0677254e02 4.7621800e01 3.5509754e01 1.0872322e02 4.8716811e01 3.7307656e01 1.1063139e02 4.9600091e01 3.9080852e01 1.1249719e02 5.0280693e01 4.0829099e01 1.1432077e02 5.0767671e01 4.2552153e01 1.1610225e02 5.1070078e01 4.4249768e01 1.1784178e02 5.1196966e01 4.5921700e01 1.1953948e02 5.1157389e01 4.7567706e01 1.2119549e02 5.0960400e01 4.9187542e01 1.2280996e02 5.0615051e01 5.0780961e01 1.2438301e02 5.0130397e01 5.2347722e01 1.2591478e02 4.9515490e01 5.3887578e01 1.2740541e02 4.8779384e01 5.5400286e01 1.2885503e02 4.7931130e01 5.6885602e01 1.3026377e02 4.6979783e01 5.8343281e01 1.3163178e02 4.5934396e01 5.9773080e01 1.3295919e02 4.4804022e01 6.1174753e01 1.3424614e02 4.3597713e01 6.2548056e01 1.3549275e02 4.2324523e01 6.3892746e01 1.3669917e02 4.0993505e01 6.5208577e01 1.3786554e02 3.9613712e01 6.6495306e01 1.3899198e02 3.8194197e01 6.7752689e01 1.4007863e02 3.6744014e01 6.8980480e01 1.4112564e02 3.5272215e01 7.0178436e01 1.4213313e02 3.3787853e01 7.1346313e01 1.4310124e02 3.2299982e01 7.2483866e01 1.4403010e02 3.0817655e01 7.3590851e01 1.4491986e02 2.9349925e01 7.4667023e01 1.4577065e02 2.7905844e01 7.5712139e01 1.4658260e02 2.6494467e01 7.6725953e01 1.4735585e02 2.5124845e01 7.7708223e01 1.4809054e02 2.3806033e01 7.8658703e01 1.4878679e02 2.2547083e01 7.9577149e01 1.4944475e02 2.1357049e01 8.0463317e01 1.5006456e02 2.0244982e01 8.1316962e01 1.5064634e02 1.9219938e01 8.2137841e01 1.5119024e02 1.8290968e01 8.2925709e01 1.5169639e02 1.7467126e01 8.3680322e01 1.5216492e02 1.6757465e01 8.4401435e01 1.5259597e02 1.6171039e01 8.5088805e01 1.5298968e02 1.5716899e01 8.5742186e01 1.5334618e02 1.5404099e01 8.6361335e01 1.5366561e02 1.5241693e01 8.6946007e01 1.5394810e02 1.5238733e01 8.7495959e01 1.5419380e02 1.5404272e01 8.8010945e01 1.5440283e02 1.5747365e01 8.8490721e01 1.5457533e02 1.6277063e01 8.8935044e01 1.5471143e02 1.7002419e01 8.9343669e01 1.5481128e02 1.7932488e01 8.9716351e01 1.5487501e02 1.9076322e01 9.0052846e01 1.5490275e02 2.0442974e01 9.0352911e01 1.5489464e02 2.2041497e01 9.0616300e01 1.5485082e02 2.3880944e01 9.0842770e01 1.5477141e02 2.5970369e01 9.1032077e01 1.5465657e02 2.8318824e01 9.1183975e01 1.5450641e02 3.0935364e01 9.1298220e01 1.5432109e02 3.3829039e01 9.1374569e01 1.5410073e02 3.7008905e01 9.1412777e01 1.5384547e02 4.0484013e01 9.1412600e01 1.5355544e02 4.4263418e01 9.1373793e01 1.5323079e02 4.8356172e01 9.1296113e01 1.5287164e02 5.2771328e01 9.1179314e01 1.5247813e02 5.7517939e01 9.1023153e01 1.5205041e02 6.2605059e01 9.0827386e01 1.5158859e02 6.8041740e01 9.0591767e01 1.5109283e02 7.3837036e01 9.0316053e01 1.5056326e02 8.0000000e01 9.0000000e01 1.5000000e02
四、完整MATLAB代码
