The Algorithms

Optimisation can be defined as the processes used to find the best solutions to a problem that has a lot of possible solutions.

To cope with the combinatorial explosion of these solutions, evolutionary algorithms are techniques capable of assessing hundreds of thousands of possible solutions and making them converge towards the best alternatives.

Among these evolutionary algorithms, let's quote genetic algorithms, the ant colonies and particle swarm optimisation.

The strength of our algorithms is the hybridisation of these powerful mathematical objects with classical algorithms to draw up the best of each in a given configuration.