Title: DETS: a meta heuristic approach for document retrieval

Authors: K. Latha, S. Vigneshbabu, R. Rajaram

Addresses: Thiagarajar College of Engineering, Madurai-15, Tamil Nadu, India. ' Thiagarajar College of Engineering, Madurai-15, Tamil Nadu, India. ' Thiagarajar College of Engineering, Madurai-15, Tamil Nadu, India

Abstract: This paper explores a novel approach for information retrieval of a large collection of text documents using evolutionary techniques. We propose a hybrid differential evolution algorithm (DE) with tabu search (TS) which yields accurate results. The idea is to reduce the solution space using DE algorithm and to solve the problem both locally and globally using TS. The performance of DETS is compared with the TS, k-means with TS (KTS) and it is shown that the proposed method outperforms the other two.

Keywords: information retrieval; differential evolution; tabu search; evolutionary techniques; solution space; DETS; metaheuristics; document retrieval; text documents.

DOI: 10.1504/IJKESDP.2009.022720

International Journal of Knowledge Engineering and Soft Data Paradigms, 2009 Vol.1 No.2, pp.139 - 150

Available online: 25 Jan 2009 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article