General Implementation of the Ant colony optimization on .NET platform
Miloslav Neubauer, Alexandr Štefek · 2014
The paper presents an appropriate tool for testing and tuning algorithms based on the Ant colony optimization methods. Setting up a set of parameters of these methods is an essential and also very complex issue and in this way could be the presented implementation very beneficial. Suggested implementation depicted how to encapsulate mathematical algorithm into an generalized instrument which can be used for testing and evaluating all required inputs and moreover be user-friendly as much as possible. The implementation is built up on the .NET framework using all of its features as object oriented architecture and functional programming which can be very handy in practical experiments.