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Today, the editor will share with you the relevant knowledge of what the method of matlab 3D path planning is. The content is detailed and the logic is clear. I believe most people still know too much about this knowledge, so share this article for your reference. I hope you can get something after reading this article. Let's learn about it.

% clear the environment

Clcclear%% data initialization

% download data

Load HeightData HeightData

% gridding LevelGrid=10;PortGrid=21

% start and end grid points starty=10;starth=4;endy=8;endh=5;m=1;% algorithm parameters PopNumber=10;% population number BestFitness= [];% Best individual

% initial pheromone pheromone=ones (21 mine21)

% initial search path [path,pheromone] = searchpath (PopNumber,LevelGrid,PortGrid,pheromone,... HeightData,starty,starth,endy,endh); fitness=CacuFit (path);% fitness calculation [bestfitness,bestindex] = min (fitness);% best fitness bestpath=path (bestindex,:);% best path BestFitness= [BestFitness;bestfitness];% fitness value record% pheromone update rou=0.2;cfit=100/bestfitness For i=2:PortGrid-1pheromone (iQuery 2-1), bestpath (iCool 2-1)) =... (1-rou) * pheromone (iGrad bestpath (iLife2-1), bestpath (ionom2)) + rou*cfit;end%% cycle to find the best path for kk=1:100%% path search [path,pheromone] = searchpath (PopNumber,LevelGrid,PortGrid,...pheromone,HeightData,starty,starth,endy,endh);% fitness value calculation update fitness=CacuFit (path) [newbestfitness,newbestindex] = min (fitness); if newbestfitness

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