Among those extractable objects, IloAnd IloOr, and IloNot can also be represented in your application by means of the C++ operators:

All those extractable objects accept as their arguments other linear constraints or logical constraints, so you can combine linear constraints with logical constraints in complicated expressions in your application.

For example, to express the idea that two jobs with starting times x1 and x2 and with duration d1 and d2 must not overlap, you can either use overloaded C++ operators, like this:

model.add((x1 >= x2 + d2) || (x2 >= x1 + d1));

or you can express the same idea, like this:

IloOr or(env)
or.add(x1 >= x2 + d2);
or.add(x2 >= x1 + d1);
model.add(or);

Since IloCplex can also extract logical constraints embedded in other logical constraints, you can also write logical constraints like this:

IloIfThen(env, (x >= y && x >= z), IloNot(x <= 300 || y >= 700))

where x, y, and z are variables in your application.