Using Practical Swarm Optimization Algorithm For Dna Profile Matching

Abstract

In forensic science, Deoxyribonucleic Acid (DNA) is essential for identifying individuals and exonerating innocents, and convicting guilty persons. Processing and analyzing biological evidence transmitted to a crime scene and identifying the genetic material in DNA enables the identification of criminals, paternity, and unknown bodies. DNA technology plays an important role in individual recognition. However, the traditional methodology for personnel identification using DNA in diagnosis requires medical experts’ intervention. This is not a simple task due to the large searching dimension in the utilized database. This paper automates DNA profiling identification using the Particle Swarm Optimization algorithm by locating the best matching data for a query on an unknown person (e.g., corpse, determination of proportions, identification of the suspect, etc). The data used in this research was collected from the Iraqi Interior Ministry at the Basra Investigation Centre. The proposed system has demonstrated significant improvement in the obtained results by matching DNA sequences for an unknown person with the collected database with 100% accuracy.