Optimization 如何在docplex(python)中启动区间变量边界?

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 {

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
{

    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