The Compact Trie method for document clustering is sensitive to the kind oftext it is applied to, but contains various parameters that may be tuned foradaptation to specific applications. We implement a genetic algorithm foroptimizing these parameters and apply it to a corpus of texts to demonstratethe feasibility of using genetic algorithms for tuning
