I am trying to do optimization of a voice activity detection function, which is a function with continuous parameters. This is easily accomplished with genetic algorithms, simulated annealing, and tabu search, but I'm somewhat confused on how to accomplish this with Ant Colony Optimization (ACO).
From what I've read, ACO is mostly used for solving problems that can be formulated as a graph. I've searched for resources relating to multiple parameter function optimization, but the closest thing I found was this article for a single parameter on a continuous function and this long paper with no pseudocode which is contained in this PHD thesis. Are there any resources (websites or books) for accomplishing multiple parameter continuous function optimization with ACO that involve an implementation example?
Alternatively, is the key here to discretize the continuous inputs? If so, what methods exist to do this in a way that works well with ACO?