GLPSOL, a MILP solver from the GLPK, was used to solve the problems.
A MILP model has been developed to optimize the selection and operation of heating, cooling, and electric generation equipment at the building-cluster scale.
While the actual number of shares MILP
will deliver to settle the variable share forward will not be determined for approximately 5 years, if MDP appreciates, MILP
could retain up to 230,000 of the 1,000,000 shares subject to the transaction.
The AP/OA/ER method (Viswanathan, Grossmann 1990) inside the MINLP computer package DICOPT (DIscrete and Continuous OPTimizer) solves series of NLP sub-problems and MILP master problems.
So, the MILP master problem involves a global linear approximation to the superstructure of alternatives and predicts a lower bound for the MINLP, where a new vector of binary variables is identified.
The SBB method combines the BB method known from MILP and local search NLP procedures.
In (Simonis, 2008) authors use MILP
(mixed integer linear programming) and a PseudoBoolean model mapped to a SAT solver for solving kakuro puzzles.
ILP and MILP
are problems were objective and constraints functions are linear and all variables or only some of them are integers.
decomposition approach to large scale optimization in structural design of energy supply systems.
PARIS splits the time horizon into several periods and formulates an MILP
(mixed integer linear programming) problem.
Optimization Models for Short-term Scheduling of Batch Processes