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initialization.m
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function path = initialization(transport_time,customer,vehicle,espo,n)
path(espo).infor = [];
espoo = 1;
while espoo <= espo
customers = customer;
vehicles = vehicle;
%车辆的路径初始化
for i = 1:n
select(i).path = 0;
select(i).num = i;
select(i).price = vehicles(4,i);
end
%
%或者设置成自行输入
% for v = 1:n
% Assign the number for each vehicle
% select(v).num = v;
% Ask the user to input the price for each vehicle
% select(v).price = input(['请输入第',num2str(v),'辆车的价格:']);
% end
cus = false ;
while cus == false
% 取出需求量最大的需求点的需求量,并赋值为空。
max_demand = max(customers(2,:)) ;
[i,j] = find(customers == max_demand);
customer_i = customers(1,j(1));
customers(: ,j(1)) = [];
vel = false;
%进行成本的计算
while vel == false
% 随机选取车辆
a = floor(rand(1,1)*size(vehicles,2)+1);
num = select(a).path(1,end);
%取出车辆到达此地的时间
t = transport_time(num+1,customer_i + 1);
% 判断车辆是否满足需求量和运输时间的要求
if vehicles(2,a) >= max_demand && vehicles(3,a) > t
% 如果为真,更新路径,更新时间,更新剩余载重量,将 vel = true
select(a).path(end + 1) = customer_i;
vehicles(2,a) = vehicles(2,a) - max_demand;
vehicles(3,a) = vehicles(3,a) - t;
vel = true;
end
end
if isempty(customers)
cus = true;
end
end
% 将路径进行提纯,用到的车辆去除
for pat = 1:size(select,2)
if select(pat).path(end) == 0
continue
else
for path_num = 1:size(select(pat).path,2)
path(espoo).infor(1,end+1) = select(pat).num;
path(espoo).infor(2,end) = select(pat).price;
path(espoo).infor(3,end) = select(pat).path(1,path_num);
end
end
end
espoo =espoo + 1;
end
end
% 将计算的路径进行组合