Title: Swarm Optimization and Integer Programming Quantum versus Classical

Abstract:
Integer programming problems are omnipresent in domains such as macroeconomics, air traffic control and train scheduling. Often, the
number of dimensions is very large, which makes the optimization process difficult. In this  presentation  the suitability of Classical Particle Swarm Optimization  (Classical PSO) and Quantum Particle Swarm Optimization (Quantum PSO) for Integer Programming is investigated. Three variants of Quantum PSO are compared against classical PSO. Results indicate that in domains where the number of dimensions is smaller, the classical approach outperforms the quantum methods. However, in domains where the number of dimensions are high, the quantum approaches yield superior results.