Info
Diese Frage ist geschlossen. Öffnen Sie sie erneut, um sie zu bearbeiten oder zu beantworten.
Please have a MATLAB version R2011a and I have this code for Atnvz I can not solve. Help me solve the errors
2 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
function [shortestPaths, totalCosts] = kShortestPath(netCostMatrix, source, destination, k_paths)
% Function kShortestPath(netCostMatrix, source, destination, k_paths)
%==============================================================
if source > size(netCostMatrix,1) || destination > size(netCostMatrix,1)
shortestPaths=[];
totalCosts=[];
else
%---------------------INITIALIZATION---------------------
k=1;
[path cost] = dijkstra(netCostMatrix, source, destination);
%P is a cell array that holds all the paths found so far:
if isempty(path)
shortestPaths=[];
totalCosts=[];
else
path_number = 1;
P{path_number,1} = path; P{path_number,2} = cost;
current_P = path_number;
%X is a cell array of a subset of P (used by Yen's algorithm below):
size_X=1;
X{size_X} = {path_number; path; cost};
%S path_number x 1
S(path_number) = path(1); %deviation vertex is the first node initially
%***********************
% K = 1 is the shortest path returned by dijkstra():
shortestPaths{k} = path ;
totalCosts(k) = cost;
%***********************
%--------------------------------------------------------
while (k < k_paths && size_X ~= 0 )
%remove P from X
for i=1:length(X)
if X{i}{1} == current_P
size_X = size_X - 1;
X(i) = [];%delete cell
break;
end
end
%---------------------------------------
P_ = P{current_P,1}; %P_ is current P, just to make is easier for the notations
%Find w in (P_,w) in set S, w was the dev vertex used to found P_
w = S(current_P);
for i = 1: length(P_)
if w == P_(i)
w_index_in_path = i;
end
end
for index_dev_vertex= w_index_in_path: length(P_) - 1 %index_dev_vertex is index in P_ of deviation vertex
temp_netCostMatrix = netCostMatrix;
%------
%Remove vertices in P before index_dev_vertex and there incident edges
for i = 1: index_dev_vertex-1
v = P_(i);
temp_netCostMatrix(v,:)=inf;
temp_netCostMatrix(:,v)=inf;
end
%------
%remove incident edge of v if v is in shortestPaths (K) U P_ with similar sub_path to P_....
SP_sameSubPath=[];
index =1;
SP_sameSubPath{index}=P_;
for i = 1: length(shortestPaths)
if length(shortestPaths{i}) >= index_dev_vertex
if P_(1:index_dev_vertex) == shortestPaths{i}(1:index_dev_vertex)
index = index+1;
SP_sameSubPath{index}=shortestPaths{i};
end
end
end
v_ = P_(index_dev_vertex);
for j = 1: length(SP_sameSubPath)
next = SP_sameSubPath{j}(index_dev_vertex+1);
temp_netCostMatrix(v_,next)=inf;
end
%------
%get the cost of the sub path before deviation vertex v
sub_P = P_(1:index_dev_vertex);
cost_sub_P=0;
for i = 1: length(sub_P)-1
cost_sub_P = cost_sub_P + netCostMatrix(sub_P(i),sub_P(i+1));
end
%call dijkstra between deviation vertex to destination node
[dev_p c] = dijkstra(temp_netCostMatrix, P_(index_dev_vertex), destination);
if ~isempty(dev_p)
path_number = path_number + 1;
P{path_number,1} = [sub_P(1:end-1) dev_p] ; %concatenate sub path- to -vertex -to- destination
P{path_number,2} = cost_sub_P + c ;
S(path_number) = P_(index_dev_vertex);
size_X = size_X + 1;
X{size_X} = {path_number; P{path_number,1} ;P{path_number,2} };
else
%warning('k=%d, isempty(p)==true!\n',k);
end
end
%---------------------------------------
%Step necessary otherwise if k is bigger than number of possible paths
%the last results will get repeated !
if size_X > 0
shortestXCost= X{1}{3}; %cost of path
shortestX= X{1}{1}; %ref number of path
for i = 2 : size_X
if X{i}{3} < shortestXCost
shortestX= X{i}{1};
shortestXCost= X{i}{3};
end
end
current_P = shortestX;
%******
k = k+1;
shortestPaths{k} = P{current_P,1};
totalCosts(k) = P{current_P,2};
%******
else
%k = k+1;
end
end
end
end
%--------------------------------------------------------
2 Kommentare
Walter Roberson
am 30 Jul. 2012
Please review the guide to Tags and retag this Question; see http://www.mathworks.co.uk/matlabcentral/answers/43073-a-guide-to-tags
Walter Roberson
am 30 Jul. 2012
You need to tell us what errors you see, and what inputs you are using.
Antworten (0)
Diese Frage ist geschlossen.
Siehe auch
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!