These models incorporate dynamic optimization to account for fluctuations in water inflow with various algorithms. It was shown that ... For this purpose, a mixed-integer linear programming (MILP) ...

Integer linear programming ... algorithm is extremely exciting,” said Noah Stephens-Davidowitz, a mathematician and computer scientist at Cornell University. “It represents the first [major] ...

LP software incorporates frameworks that are dependent on conventional linear programming algorithms such as simplex and support ... In addition, their MIP (mixed-integer programming) cutting plane ...

In this context, a mixed-integer ... algorithm (HALNS) (Dang et al., 2021) was compared with the preplanning algorithm (PPA) (Maza and Castagna, 2005). HALNS is a hybrid algorithm of the adaptive ...

We propose an exact solution approach that involves mixed-integer linear programming ... algorithms or (Bencheikh et al., 2009) for combination of both genetic and ant colony optimization algorithms.

Mixed-integer ... fuzzy linear programming in a chocolate production company. Defersha & Chen (2008) developed a model that integrates linear programming with genetic algorithms in order to find ...

Linear programming is used to maximize or minimize a linear objective function subject to one or more constraints, while mixed integer programming (MIP) adds one additional condition: that at least ...

This work proposes a new bi-objective ... are minimized. A mixed integer linear program is established to describe the problem. To obtain its Pareto solutions, we present a memetic algorithm that ...