If you instead set the PoolGap parameter to value 0.2, the MIP solver would discard any solutions whose objective value is worse than 120 (which would also leave 3 solutions in the solution pool). If you set the
需要注意的是,对于non-convex二次型约束,solver只能找到局部最优解,Gurobi的算法会探索整个求解空间,它们会提供目标最优解的全局下界(globally valid lower bound on the optimal objective value),在足够的时间下,它们可以找到全局最优解. 仅考虑不相交变量乘积(products of disjoint pairs of variables)的变量叫做双...
An ABS constraint r=abs{x} states that the resultant variable r should be equal to the absolute value of the argument variable x. Parameters: resvar –The resultant variable of the new constraint. argvar –The argument variable of the new constraint. name –(optional) Name for the new gen...
If provided, this value specifies the absolute objective degradation when doing hierarchical multi-objective optimization. The default value is 0. name (optional) Specified via model.multiobj(i).name. If provided, this string specifies the name of the i-th objective function. Note that when ...
of an integer programming model where all the decision variables in the constraint are binary, the goal is to find another constraint involving the same binary variables that is logically equivalent to the original constraint, but that has the smallest possible absolute value of the right-hand ...
An ABS constraint r=abs{x} states that the resultant variable r should be equal to the absolute value of the argument variable x. Arguments: resvar –The resultant variable of the new constraint. argvar –The argument variable of the new constraint. name –Name for the new general constrain...