Interactive Particle Swarm Optimization Algorithm for Automatic Facial Composite Generation

Particle Swarm Optimization is a type of nature-inspired heuristic which is based on bird flocking and fish schooling in nature. In interactive particle swarm optimization, user evaluations are used to determine the fitness of particles and the end of iterations. In this study, Interactive Particle Swarm Optimization approach is used as a solution to face generation problem. And “success” of the approach is reported based on the “percentage of images correctly recognized”.