In previous entries we saw there are cases in which Integer Linear Programming is not the most appropriate approach to solve routing problems, and we proposed the option of using metaheuristic algorithms to obtain feasible solutions, and in many cases close to the optimal solution.
As already mentioned in this blog, integer linear programming is often not useful in the real world to find the optimal solution to routing problems.One of the most common metaheuristic techniques to solve this problem is known as Ant Colony Optimisation (ACO).
After reading Puget’s post, I decided to write this one, where I will try to explain the difference between Predictive and Prescriptive Analytics and, within the latter, the difference between a System based on Business Rules and one based on Optimisation.
A few months ago at Decide we chose to embark on a Corporate Social Responsibility project, an initiative proposed by the Human Resources Department. After an internal round of questions and suggestions, we opted for the Food Bank of Madrid.
During the recruitment processes at Decide one of the questions candidates ask me is “What are you like here?” It’s a question I truly appreciate, because deep inside I think when we all make the decision to start a new stage in our professional career, if we are really interested we think about what the company is like, the ins and outs.
In recent years, many times I have had to argue that the using Linear and Integer Linear Programming was not the most appropriate one to solve routing problems. This is not an absolute truth, although it is true that it makes quite a bit of sense as a general rule.