Solving Optimization Problems

Optimization tasks solve problems related to optimizing a situation, given an objective function and a set of constraints.

Their output is the set of values to be used in order to reach an optimal solution, as well as the objective function corresponding to those values.

Rulex Optimization Tasks

Rulex provides the following tasks to solve optimization problems:




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Mixed Integer Linear Programming

Obtains the optimal solution for a problem by representing a real life scenario as a mathematical model with defined constraints.

Using Mixed Integer Linear Programming to Solve Optimization Problems

Network Optimizer

Balances workloads which are distributed over a network.

Using Network Optimizer to Solve Optimization Problems

Transport Optimizer

Optimizes how goods are transported over a network

Using Transport Optimizer to Solve Optimization Problems