Conference

Genetic algorithm based model for effective document retrieval

This paper proposes a genetic algorithm-based model to optimize similarity measures in information retrieval. By combining cosine, Jaccard, Dice, and Okapi measures with weighted contributions, the approach improves document ranking and retrieval effectiveness. Two fitness functions, non-order-based (recall-precision) and order-based (ranking-aware) are evaluated on the TREC dataset, demonstrating that order-based optimization enhances retrieval performance compared to traditional measures