Next Generation Sequencing Using Ant Colony Optimization Algorithm and Binary Particle Swarm Optimizers

In this paper, An Ant Colony Optimization Algorithm along with Binary Particle Swarm optimization function has been proposed for Next Generation Sequencing. The Ant Colony Optimization Algorithm is a novel optimization algorithm inspired by a particular intelligent behavior of ants whereas Binary Particle Swarm optimizers are inspired by the behavior of birds. A new method of Ant Colony Optimization Algorithm for determining food source in neighborhood is proposed taken into consideration the discreteness of Next Generation Sequencing Problem. Experimental results shows that the new approach is more robust and obtains result of better quality.

International Journal of Information Technology