为什么这段代码的结果没有给最后一个个体赋予帕累托前沿编号:function [F,ndx] = fast_nondominated_sort(objectives) % obj为目标函数值矩阵,每行代表一个个体的目标函数值向量 % F为快速非支配排序后的结果,每个元素代表一个帕累托前沿 % ndx为每个个体所属的帕累托前沿编号 [n,~] = size(objectives); F = cell(1,n); S = cell(1,n); nPoints = zeros(1,n); for i = 1:n S{i} = []; nPoints(i) = 0; for j = 1:n if isdominated(objectives(i,:),objectives(j,:)) S{i} = [S{i} j]; elseif isdominated(objectives(j,:),objectives(i,:)) nPoints(i) = nPoints(i) + 1; end end if nPoints(i) == 0 F{1} = [F{1} i]; end end iFront = 1; while ~isempty(F{iFront}) Q = []; for i = F{iFront} for j = S{i} nPoints(j) = nPoints(j) - 1; if nPoints(j) == 0 Q = [Q j]; ndx(j) = iFront + 1; end end end iFront = iFront + 1; F{iFront} = Q; end end,请给出修改后的代码示例
时间: 2024-03-03 17:50:42 浏览: 59
修改后的代码如下所示:
```matlab
function [F,ndx] = fast_nondominated_sort(objectives)
% obj为目标函数值矩阵,每行代表一个个体的目标函数值向量
% F为快速非支配排序后的结果,每个元素代表一个帕累托前沿
% ndx为每个个体所属的帕累托前沿编号
[n,~] = size(objectives);
F = cell(1,n);
S = cell(1,n);
nPoints = zeros(1,n);
ndx = zeros(1,n); % 添加此行代码,将 ndx 初始化为全 0
for i = 1:n
S{i} = [];
nPoints(i) = 0;
for j = 1:n
if isdominated(objectives(i,:),objectives(j,:))
S{i} = [S{i} j];
elseif isdominated(objectives(j,:),objectives(i,:))
nPoints(i) = nPoints(i) + 1;
end
end
if nPoints(i) == 0
F{1} = [F{1} i];
ndx(i) = 1; % 添加此行代码,将第一个帕累托前沿的个体编号 ndx 设为 1
end
end
iFront = 1;
while ~isempty(F{iFront})
Q = [];
for i = F{iFront}
for j = S{i}
nPoints(j) = nPoints(j) - 1;
if nPoints(j) == 0
Q = [Q j];
ndx(j) = iFront + 1;
end
end
end
iFront = iFront + 1;
F{iFront} = Q;
end
end
```
修改后的代码在初始化 `ndx` 时将其全部赋值为0,并在第一个帕累托前沿的个体中将其相应的 `ndx` 设为1,以确保在循环结束时所有个体都被赋予了帕累托前沿编号。
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