Optimization 如何在docplex(python)中启动区间变量边界?
我有以下OPL代码,需要在docplex(python)中实现它,我是该领域的新手Optimization 如何在docplex(python)中启动区间变量边界?,optimization,cplex,docplex,Optimization,Cplex,Docplex,我有以下OPL代码,需要在docplex(python)中实现它,我是该领域的新手 using CP; dvar interval I1 in 0..20; dvar interval I2 in 0..20; dvar interval I3 in 0..20; dvar int over1; dvar int start1; dvar int end1; dvar interval artificialInterval; maximize over1; subject to {
using CP;
dvar interval I1 in 0..20;
dvar interval I2 in 0..20;
dvar interval I3 in 0..20;
dvar int over1;
dvar int start1;
dvar int end1;
dvar interval artificialInterval;
maximize over1;
subject to
{
over1==overlapLength(I1,I2);
start1==maxl(startOf(I1),startOf(I2));
end1==minl(endOf(I1),endOf(I2));
startOf(artificialInterval)==start1;
endOf(artificialInterval)==end1;
over1==overlapLength(I3,artificialInterval);
}
问题发生在行startOf(artificialInterval)=start1;
和endOf(artificialInterval)==end1
以下是我所做的:
mdl=CpoModel()
I1=mdl.interval_var(define its parameters)
I2=mdl.interval_var(define its parameters)
I3=mdl.interval_var(define its parameters)
over1=mdl.integer_var()
start1=mdl.integer_var()
end1=mdl.integer_var()
artificialInterval=mdl.interval_var()
over1=mdl.overlapLength(I1,I2)
start1=mdl.max(mdl.start_of(I1),mdl.start_of(I2))
end1=mdl.min(mdl.end_of(I1),mdl.end_of(I2))
mdl.start_of(artificialInterval) =start1
mdl.end_of(artificialInterval) =end1
over1=mdl.overlapLength(I3,artificialInterval)
obj = mdl.maximize(over1)
mdl.solve()
这样我就有了语法错误“SyntaxError:cannotassigntofunctioncall”
所以我尝试使用set_start(start1),但我认为我也没有很好地使用它
如有任何提示,我们将不胜感激。
谢谢,
from docplex.cp.model import CpoModel
mdl=CpoModel()
I1=mdl.interval_var(0,10)
I2=mdl.interval_var(0,10)
I3=mdl.interval_var(0,10)
over1=mdl.integer_var()
start1=mdl.integer_var()
end1=mdl.integer_var()
artificialInterval=mdl.interval_var()
mdl.add(over1==mdl.overlap_length(I1,I2))
start1=mdl.max(mdl.start_of(I1),mdl.start_of(I2))
end1=mdl.min(mdl.end_of(I1),mdl.end_of(I2))
mdl.add(mdl.start_of(artificialInterval) ==start1)
mdl.add(mdl.end_of(artificialInterval) ==end1)
mdl.add(over1==mdl.overlap_length(I3,artificialInterval))
obj = mdl.maximize(over1)
mdl.solve()
效果好多了