Quantum Genetic Algorithm Using a Mixed Update Strategy

摘要

This paper proposes a quantum genetic algorithm using a mixed update strategy (MUSQGA). Considering the convergence precision and computing time, MUSQGA has the optimum performance. And the algorithm is suitable for solving different types of function optimization problems. Our further work is to integrate more excellent operators into the quantum genetic algorithm using a mixed update strategy.